Timspark

The application is the industry’s premier research tool, housing the world’s largest library of fully searchable, high-definition movie images. We developed a high-performance, cross-platform software using Flutter and Dart to provide a seamless discovery and playback experience across Web, iOS and Android from a single, scalable codebase.

Highlights

• Cross-platform Flutter app development for Web, iOS & Android.

• Legacy app migration into a unified, scalable media platform.

• Custom video player development with adaptive streaming previews.

• SEO-optimized Flutter web app for stronger organic search visibility.
  
  Challenge
  
  Before the migration, the client struggled with three separate codebases (Kotlin for Android, Swift for iOS, and Ajax/JS/PHP for Web), each with inconsistent logic and high maintenance costs.
   

  Specific obstacles included:

1. Unifying the codebase without losing native performance.

2. Safely migrating thousands of users, incl. enterprise accounts and metadata from an old version of the app to a new one.

3. Efficiently handling heavy media content (millions of high-res stills and video previews) across devices.

4. Integrating complex authentication (Apple, Google, Okta) and Stripe payments in a cross-platform environment.
   
   Solution & functionality
    

   We engineered a unified Flutter application that replaced fragmented legacy systems with a single source of truth, combining scalable architecture, advanced navigation, custom media playback, and optimized performance across Web, iOS and Android.
   
   The system combines custom media playback, robust caching, and scalable state management to ensure seamless browsing, stable performance, and consistent functionality across web and mobile platforms.
   
   The unified application was designed to support advanced media discovery with responsive layouts, deep linking, URL-based search, and smooth interaction across large image and video libraries.
   
   Built with Flutter for iOS and Android, this mobile solution combines responsive navigation, scalable Bloc/Cubit state management, custom caching for large media libraries, and a bespoke video player with thumbnail previews and adaptive streaming. The result is a smooth, feature-rich user experience designed for performance, consistency, and long-term scalability.
   
   Results and business value
    

   The solution improved efficiency, performance and delivery transparency. A unified codebase lowered maintenance effort, ensured seamless migration, boosted speed and discoverability, and supported faster iteration through close day-to-day collaboration.

Timspark built legal entity management software that replaces spreadsheet-driven operations with a centralized web portal. The solution streamlines the quote-to-policy journey, unifies employers, plans, and policies in one place, and automates policy issuance via integration with external systems. Internal teams now work from a single source of truth instead of scattered Excel files.

Client

A US-based employee benefits provider offering an easy-to-use legal services platform for corporate employees. Their business relies on accurate handling of legal entities, employers, quotes, benefit forms, and add-ons — and turning them into active policies with minimal manual work.

Highlights

• Excel-based legal entity management has been replaced with a secure web portal

• Integrated legal entity management system and quote-to-policy workflows

• Policy lifecycle management supported via APAS integration

• Box.com integration for centralized, secure document storage

• Built as a scalable enterprise web portal development project using .NET, Angular, and DevExtreme
  
  Challenge

  
  Before the project, legal entities and related data were managed in Excel workbooks shared across teams.

  
  At the same time, the new policy lifecycle management software had to follow existing UI standards built with DevExtreme and be adopted without disrupting day-to-day work.

  
  The client needed a secure web portal that would:

• Act as a single, reliable legal entity management system

• Support the complete quote-to-policy journey

• Integrate with APAS and Box.com

• Fit into their corporate UX standards and delivery processes
  
  Solution & functionality

  
  Timspark implemented a browser-based portal that centralizes legal entities, employers, quotes, and policies in a robust legal entity management software layer. The solution was delivered in iterations, gradually replacing Excel workflows with a structured web interface.
  
  Centralized legal entity management

  
  The new portal provides a single source of truth for all legal entities:

• Create, view, and edit entities in a structured web interface

• Compare entities side-by-side and quickly review key details

• Track statuses (draft, pending, active, cancelled) across the quote-to-policy lifecycle

  
  This transformed fragmented Excel files into a unified, governed legal entity management system.

  
  Quote-to-policy workflow

  
  The portal supports the end-to-end process from initial quote to active policy:

• Capture employers, benefit plans, and add-ons in one place

• Update statuses as information is collected, reviewed, and approved

• Ensure policies are only issued when all required data and documents are complete

  
  In practice, the portal works as a quote-to-policy software, enforcing business rules and reducing manual handovers.
   

• To automate policy issuance and synchronize data, the portal integrates with the APAS system.

• Document-heavy workflows are supported by tight integration with Box.com

• User management and notifications improved control over who can do what, and when, inside the enterprise web portal development output.

• To avoid disrupting daily work, the transition from Excel was incremental.
  
  This approach lets users adopt the new legal entity management software gradually, without a “big bang” cutover.
   

Our team helped the client develop a cybersecurity platform designed to find and showcase detailed analytics on exposures and vulnerabilities. The system provides clients with fast, accurate insights into their security posture, enabling proactive risk management and improved cyber resilience.

A cloud-based industrial IoT solution built for real-time data processing and communication. It uses MQTT for efficient data transfer, Docker for flexible deployment, and Solara with FastAPI for seamless integration with the IoT cloud.

Designed for reliability and scalability on Google Cloud Platform (GCP).

By providing expert developers skilled in Unity, Timspark ensured seamless integration with the client’s existing teams, offering flexible support to scale development capabilities.

Our client faced the challenge of scaling their development team to meet the growing demands of their mobile game projects. As a newly established studio, they needed to quickly augment their team with skilled developers who could seamlessly integrate into their workflow, accelerate the development process, and deliver high-quality Unity-based mobile games on time.

Timspark provided a team of expert developers who integrated directly with the client’s in-house team, ensuring smooth collaboration and communication. This solution allowed the client to scale rapidly without compromising quality or delivery timelines.

Timspark provided comprehensive mobile development and frontend engineering services, using Flutter for cross-platform mobile app development and React for responsive, dynamic frontend interfaces.

Challenge

Build and launch a new web application and assist the client in building new features for the mobile application.

Solution & functionality

Timspark was responsible for the end-to-end development of the app, including both mobile and web platforms. The scope of work included creating a cross-platform mobile app using Flutter, developing the front end for the web interface with React, and ensuring seamless integration between the app and backend services.

Web application

Authentification portal

Our team realized a secure, user-friendly registration and sign-in portal using React Hook Form and Yup to validate input and smoothly handle potential errors. By leveraging AWS Cognito, we implemented customer identity and access management, ensuring users experience a secure and seamless login process.

User account management and social interaction

Users have comprehensive account management features, allowing them to edit profiles, manage users, and post content. They can engage in “circles,” connecting with others in a dynamic learning community guided by a mentor. This fosters discussion, boosts engagement, and enhances long-term motivation to learn.

Backend integration

The developers implemented efficient client-server communication via Rest API, ensuring fast, responsive, and scalable performance. This enables users to interact with content, manage profiles, and participate in community features without delay. With built-in monitoring tools, it’s possible to gain real-time insights into performance, proactively identifying potential issues before they affect the user experience.

Payment processing

We integrated a seamless payment processing system with Stripe, allowing users to join or subscribe to various learning Circles easily. This integration supports individual purchases and provides transparency with clear billing information and notifications, enhancing the user experience.

Mobile application

Cross-platform development with Flutter

The app is built using Flutter, which enables cross-platform development for iOS and Android. This ensures a consistent, high-quality experience across all devices while maintaining a shared codebase for faster updates and efficient maintenance.

Authentification improvements

The team made the sign-in processes quicker and more intuitive, optimizing login times and reducing friction in the authentication journey. This ensures a streamlined experience from the moment users enter the app.

User experience enhancements and bug fixes

Our engineers enhanced navigation and optimized loading times to make it easier for users to find what they need intuitively. A thorough bug fix has boosted the app’s overall stability.

Results and business value

In a pilot program for a global company with 80,000 employees, the solution addressed a key gap in their two-year development effort, namely ensuring the long-term application of newly acquired skills.

Benefits for the client

The launch of the microlearning platform brought significant benefits to corporate training. Employees benefit from daily, bite-sized challenges that keep them engaged and performing at their best over the long term and apply what they’ve learned to real-world leadership situations.

A global specialty insurance provider offering innovative risk management solutions, serving commercial clients and underwriting partners across multiple industries.

Quality assurance and testing services for a Salesforce-based insurance platform, designed to support operations for a leading global specialty insurer.

A deep learning-powered solution that performs semantic and instance segmentation of point cloud data, converting it into accurate Building Information Models (BIM).

Timspark engineers were tasked with addressing the challenge of efficiently segmenting point cloud data and converting it into precise BIM models. To meet the client’s needs, our team implemented and tested deep learning models such as Pointcept to achieve high accuracy in identifying building elements like walls, windows, and doors. Additionally, the engineers optimized the model inference pipeline for smooth integration into software like Revit and AutoCAD, ensuring seamless and accurate BIM conversions.

Online shop solutions 

At Timspark, we specialize in providing innovative WooCommerce development services tailored to our clients’ unique needs. We successfully realized two distinct WooCommerce projects: Gift Cards with Gold and Smart Meditation Online Store.

The client sought a WooCommerce development company that could develop an online shop selling customizable gift cards made from gold ingots. The primary challenge was creating a platform that allowed users to design and purchase these gift cards easily while ensuring a seamless user experience.

Timspark is delivering an ongoing IoT and machine-learning energy management platform for a renewable energy operator that manages a distributed fleet of wind turbines. The program (September 2021–ongoing) is focused on real-time turbine monitoring, predictive analytics, and early fault detection to reduce unplanned downtime, prevent costly repairs, and avoid power outages.

The solution collects operational telemetry (e.g., wind speed, rotor speed, temperature, vibration, torque) via programmable logic controllers (PLCs), detects deviations and triggers alarms/shutdown workflows when needed, and centralizes multi-region turbine data in a cloud-based data lake built on AWS IoT Core and AWS Lambda. Operators and maintenance teams use Grafana dashboards for live visibility into performance, locations, weather patterns, and forecasted trends, while analytical reports support maintenance planning and energy production optimization.

A dedicated ML/MLOps component continuously learns from incoming sensor data to predict failure risks early and automatically notify maintenance teams, enabling proactive interventions before breakdowns occur.

The team created an interactive dashboard for a bus fleet management software, improving the accuracy of bus timetables and passenger counts.

Client*
A leading bus operator distinguished for its extensive array of transportation services, particularly in Europe.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
Improve the overall performance and user experience of the bus fleet management software.

Objectives
Implement tracking of bus movement and resource allocation
Update the dashboard to achieve data accuracy
Make the user interface more intuitive

Solution & functionality
The team developed an advanced interactive dashboard system for the bus fleet GPS tracking with a user-friendly interface and focus on precise real-time data tracking.

Interactive dashboard with GPS tracking and alerts
Our team created a dynamic dashboard using data from IoT sensors, integrated with an Azure SQL database. Due to their ability to process and manage large datasets, the dashboard allows real-time tracking of buses and sending timely updates on bus positions, arrival times, any delays or schedule deviations, as well as passenger numbers.

Enhanced data accuracy
The system is designed to handle and analyze complex datasets, making predictions and assessments. The predictive algorithms evaluate past and current traffic data to recommend optimal routes and assess trends in passenger numbers. Through analysis of traffic patterns, weather conditions, and previous delays, the system foresees potential disruptions for planning. Altogether, these features help refine the transport schedules and bus frequencies, helping to reduce expenses and nurturing clients’ loyalty.

Viewer and administrator roles
The dashboard holds distinct user roles to accommodate diverse levels of engagement and operational requirements.

Viewer role
With the viewer role, users can access an interactive map with current bus positions, route status, and estimated arrival times in real-time, and a flexible analytics dashboard giving predictions about possible disruptions, allowing for route and scheduling adjustments and sharing reports.

Administrator role
Users with the administrator role have full control and supervision over the dashboard’s configurations and processes with data. They can customize the dashboard’s interface and features to evolving requirements and manage user access levels.

Results and business value
The new interactive dashboard for the bus fleet management software contributed to a more efficient, timely, and reliable transport service.

Benefits for client
With implementation of a dashboard system and a user-friendly interface the bus arrival and departure times reached near-perfect accuracy, reducing wait times for passengers. Better operational performance and customer satisfaction was the ultimate goal of the client.

Our team built a 3D medical imaging software for reconstruction of bones, skin, and various organs from X-rays and CT scans implementing machine learning.

Develop an ML-based tool for 3D medical imaging of bones, skin, and other body parts by converting flat scans into three-dimensional volumetric models from X-rays and CT scans. By transforming flat scans into detailed 3D volumetric models, healthcare professionals could gain enhanced visibility for patient treatment and deeper insights into diseases and abnormalities.

By integrating SAP S/4HANA, our team has modernized outdated enterprise management systems and the client’s operational processes, as well as streamlined purchasing, inventory management, transportation, financials, and analytics.

Client*
An industrial corporation which specializes in oil and gas investigation, extraction, refining, and transportation.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The client‘s business was rapidly expanding and faced difficulties with the legacy software. As a SAP implementation partner, our team had to address these issues so that the software could meet the growing demands of the enterprise.

Objectives
Rebuild legacy software
Foster visibility and control over the value chain

Solution & functionality
Our team proposed deploying an SAP business suite to automate logistics, finance, HR management, reporting, and more. Utilizing SAP Activate, we managed to integrate best practices and methodologies for smooth S/4HANA implementation.

Financial accounting module (FI)
Our team deployed a finance module to manage transactions within the client’s businesses, covering general ledger and asset management, as well as accounts payable and receivable, financial reports, and bank accounting. All financial activities, income, and expenditures are carefully recorded in the module, so they stay compliant with global accounting standards.

Funds management module (FM)
Using this module, the client can utilize budget resources efficiently. The module enables controlling revenue and expenditures, tracking funds according to financial constraints, and preventing budget excesses, while simultaneously allowing managers to change releases, supplements, returns, and transfers.

Sales and distribution module (SD)
The module houses customer and sales data, encompassing every facet of the sales cycle. Additionally, utilizing it with Materials Management (MM) and Financial Accounting (FI) modules helps to facilitate sales transactions, oversee orders, devise pricing tactics, and evaluate sales efficacy.

Controlling module (CO)
As the module documents the essential data, stakeholders are enabled with efficient decision-making, supervision, and enhancement of all corporate operations. Additionally, the module compares actual data with the initial plan so that it can be adjusted for a short-term or a long-term period.

Human resources module (HCM)
The last not least important module was integrated to oversee and bolster the client’s workforce — staff administration, organizational oversight, time management, payroll processing, perks, and self-service functionalities for employees, so that human resources are applied to their full potential.

Business intelligence module (BI)
We designed this module for efficient data analysis and reporting, giving the client the possibility to get data from SAP and non-SAP platforms, then convert them into valuable insights. Functionality allows a range of possibilities, like data storage, modeling, creating reports and dashboards, as well as setting key performance indicators (KPIs).

Materials management module (MM)
The module helps to oversee procurement, stock, and warehouse operations along the supply value chain. This implementation ensures timely availability of materials, optimizes inventory levels, and streamlines procurement procedures.

Results and business value
With SAP S/4hana implementation, we replaced the obsolete system with cost-effective solutions that enabled the client to diversify workflows, regain data integrity, visibility and controllability over business processes.

Benefits for client
With SAP S/4HANA implementation, our team transformed the client’s operational processes, covered project administration, inventory, sales, distribution, and financial management. We improved the client’s operational workflows, facilitating smooth data transmission and interaction among various divisions, thereby enhancing coordination and teamwork throughout the organization.

Timspark crafted a tailored AI-powered call center monitoring software for a major telecom enterprise, seamlessly linking operators and customers within an integrated platform.

Client*
The client operates as an internet provider and offers a diverse array of internet services to customers situated across the European Union.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
Our ISP client aimed to enhance customer satisfaction and support by developing custom call center software for improved scheduling. They required seamless integration with their CRM and task-tracking system to help operators quickly access client information and automate issue resolution.

Major objective
Empower customer service interactions with AI

Related objectives
Automate request processing
Build intuitive interface
Ensure security compliance
Smoothly integrate infrastructure

Solution & functionality
Timspark created advanced AI-driven call center monitoring software to direct client calls to appropriate operators through AI-powered voice recognition and request identification. Our solution utilizes a .Net-based microservices architecture for robust back-end implementation, including SIP and soft PBX servers.

The front end, developed with React and Electron, offers a user-friendly desktop application interface. The system efficiently handles call routing, adhering to predefined regulations, and maintains GDPR compliance throughout its interconnected components to keep operator communication and responses swift.

AI-driven voice recognition and call routing
Our team integrated artificial intelligence into contact center operations to automate client support processes. Interactive voice response, call routing, and smart voice recognition capabilities are now managed by AI. Using modern natural language processing techniques and BERT models, the system engages callers, identifies their requests, and performs tasks like changing tariffs or ordering additional services. 
For complex inquiries, the AI routes call to the appropriate operator or department to provide specialized assistance. Intelligent routing optimizes customer interactions and allows operators to focus on exceptional service delivery and the resolution of complex issues.

Client request cards
Our AI call center software automated card creation and enables operators to access and update client details quickly. When a call is received, the system identifies the client and presents their card with personal information and interaction history. Each card includes an action plan tailored to the request to guide operators through the resolution process with step-by-step instructions.

Call recordings and statistics
The call center monitoring software software securely stores call recordings and provides customizable statistics and tools for analytics. Supervisors can monitor performance metrics, track interactions processed by AI, and optimize team efficiency. This part of call center software features enhances issue resolution and facilitates call operator training through comprehensive call logging and recording.

Automated task setting
Integrated with the company’s task management and CRM systems, our call center monitoring software enables efficient task creation and assignment. Operators can generate tasks from client interactions, transferring all relevant details automatically. Task progress can be tracked within the system to provide supervisors with insights into workload distribution and resolution status.

Results and business value
Our AI call center software boosts task management, optimizes workloads, and streamlines customer support. Its user-friendly interface enables quick responses, while its flexibility promotes collaboration across departments beyond telecom services.

Benefits for client
Timspark’s AI call center software is a significant improvement that has reduced the workload for staff to keep focus on more complex customer issues.

Timspark offered Odoo ERP services to replace the client’s outdated, bespoke ERP system, execute CRM integration, and develop an AI chatbot to foster the company’s digital transformation.

Client*
Our client is a US-based industrial equipment and components retailer with 50 employees. It is strategically positioning itself for business expansion within the fiercely competitive realm of e-commerce.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
Our team aimed to solve the client’s outdated ERP issues like reporting problems, slow performance, and data silos with highly flexible and customizable software.

Objectives
Improve retail pipeline management
Build smarter analytics and reporting
Ensure advanced integration capabilities

Solution & functionality
We chose Odoo implementation to replace the client’s outdated ERP, leveraging its standard functions to meet 99% of their needs and adding custom features as required.

Enterprise Resource Planning
Our team’s Odoo ERP implementation automated critical business processes like inventory management, order processing, and financial reporting. We configured default features and added auxiliary functionality for online sales and POS terminals. Additionally, we implemented flexible pricing and compliant tax management and financial reporting modules.

AI-powered Chatbot
Using our AI expertise, we created an intelligent chatbot with advanced algorithms to automate rule-based tasks, reduce staff workload, and free up resources. Seamlessly integrated with the client’s website, resource planning, and customer management systems, our chatbot employs advanced AI to read user intentions and add human touch to automated customer support.

Customer Relationship Management
After the Odoo ERP implementation, we customized the CRM to integrate seamlessly and expand ERP capabilities. This centralized hub manages customer data, leads, and sales activities, automating processes like order generation and inventory updates. The CRM also streamlines customer management by centralizing contact details, purchase history, and communication logs for easy access and updates by sales reps.
On top of that, we automated the e-commerce pipeline from lead capture to delivery. Pre-sale activities involve lead assignment and tracking, with additional features: 
Lead scoring
Automated emails
Reminders for managing quotes and feedback.

Using Odoo-based CRM, sales reps easily handle customer support inquiries, service requests, and follow-ups to enhance customer loyalty.

Paid Search Advertising & Branding
We offered expert guidance on optimizing digital sales through Google Ads to drive increased visibility and targeted traffic. Our specialists also led a brand transformation, which resulted in heightened brand awareness and an influx of new customers to the client’s website.

QR Codes
As a tech-driven ERP Odoo implementation partner, Timspark improved inventory management using QR codes and enabled sales reps to track and label items accurately and streamline point-of-sale transactions. The unique QR codes printed on customer items facilitate quick and accurate identification, checkout, and access to discounts and promotions.

Results and business value
Timspark’s Odoo implementation liberates the client from outdated systems and fosters business growth. Our solution strategically enhances operational efficiency and profitability across all marketing activities.

Benefits for client
Timspark has successfully implemented a comprehensive Odoo system that replaces outdated ERP and boosts growth by integrating a custom CRM, QR codes for inventory, an AI chatbot, and optimized Google Ads.

Timspark has crafted a comprehensive mobile and web application to streamline the process of finding and reserving accommodations at ski resorts across the globe. The travel booking software is enhanced with a 24/7 support system and features an intelligent bot that efficiently routes user inquiries for prompt assistance.

Client*
Our client operates a global online travel agency dedicated to assisting customers in planning unforgettable holidays at the world’s premier ski resorts.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The client needed unified B2C travel management booking software for easy resort search, booking, and comparison. It also needed an up-to-date, responsive system for resort information, pricing, streamlined booking, flexible payments, and real-time availability.

Objectives
Develop a powerful travel booking software with an integrated booking engine
Automate bookings
Implement smart pricing
Boost revenue

Solution & functionality
Our team developed custom hotel booking software with supplier integrations, booking process management, and customizable search rules. We also created a secure back-office ecosystem and a B2C travel booking platform with user profiles and resort details. For customer support, we implemented a dedicated service and service bot. Additionally, we launched a mobile app for Android and iOS.

Price adjustment system and supplier management
Our travel management booking software includes critical components like a price adjustment system and supplier management. It allows online travel agencies (OTAs) to access real-time information via APIs and directly links with ski resorts’ property management systems for timely updates.
The software also features price tracking and adjustment, dynamically altering commissions based on factors like seasonal trends and competitor pricing. An integrated machine-learning algorithm suggests personalized accommodations based on users’ past preferences.

Smart recommendations and booking flow tracking
The travel booking software provides tools for defining resort search parameters and allows agency staff to modify them as needed swiftly. Travelers can specify their resort searches based on: Date, Price, Location, Resort size, Ski slope difficulty, Guest ratings, Room availability, Amenities, Catering options, Ski training availability, Popularity score.
This customization lets the agency quickly adjust search criteria and maintain a competitive edge with unique offers and prices that reflect the latest tourism trends.

Booking and payment simplification
Our B2C travel management booking software streamlines the comparison of search results from different sources to prevent duplicate listings. The booking tracking system facilitates effortless room reservations at ski resorts, supporting immediate bookings or holds with just a few clicks.
The platform’s API messaging system instantly forwards booking requests to service providers and guides users through the payment process. It supports various payment methods, such as credit cards, PayPal, Apple Pay, Google Pay, and WebMoney. This comprehensive setup ensures a frictionless booking experience for users and enhances satisfaction and loyalty.

Results and business value
Drawing on our expertise, we crafted a dynamic app for seamless bookings at top ski resorts worldwide. Integrating advanced features like pricing recommendations and intelligent support, it streamlines agency operations and ensures competitive pricing and efficient management.

Benefits for client
The upgraded hotel booking software has been praised for its user-friendly design, intuitive navigation, and comprehensive automation features. It has also earned acclaim from both our clients and their end-users.

Timspark migrated a clinical data management system populated with health and research records from the cloud to a new code-based platform. We revamped the platform’s architecture and handled ongoing support for the solution.

Client*
The client is a global leader in developing pioneering healthtech solutions focused on driving innovative data management in clinical trials and the industry as a whole.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The main goal was to upgrade the outdated platform, turning the traditional e-data fetching solution into advanced software for clinical trial data management. Additionally, the client aimed to bolster the clinical data management software’s security capabilities by introducing HIPAA and GDPR compliance features.

Related objectives
System modernization
Clinical data management upgrade
Security and compliance improvement

Solution & functionality
Timspark revitalized the customer’s outdated clinical trial data management software by modernizing the solution’s architecture to eliminate technical debt, introducing new features, and transitioning to a new code platform.

Data collection
The primary function of the clinical data management system is to gather data concerning clinical trials for subsequent integration, management, analysis, and finding correlations. This solution supports the entire research process cycle and offers users advanced reporting capabilities.

Data management
The data-centric software for clinical trials is tailored for diverse medical organizations, aiming to digitize their internal processes. These organizations encompass medical labs, medical device manufacturers, pharmaceutical and biotech institutions, and contract research organizations (CROs).

Results and business value
After completing the project’s active phase, involving an update to the solution architecture, code migration, and expansion of functional capabilities, the old platform has evolved into cutting-edge clinical data management software. It is entirely HIPAA- and GDPR-compliant.

Higher performance
We’ve enhanced the system’s performance, stability, and usability, elevating its appeal for data management in clinical trials across the market.

Long-term vision
Given the resounding success during our collaboration in the active project phase, our IT specialists seamlessly transitioned to providing long-term support for the solution.

Benefits for client
The client highlighted the exceptional skills of our full-stack developers. The company has finally found a partner that is both technically and regulatory savvy, as well as a good communicator.

Our team equipped a restaurant chain with a custom POS application for fast transactions, 15% more patrons, and new NFC payments using Android, Discovery, HoReCa, and Java.

Client*
A restaurant chain in Europe with an intent to scale their hospitality business.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
We aimed to modernize POS systems for client’s authentic restaurants to boost competitiveness and customer experience.

Related objectives
Upgrade POS Systems
Enhance Service Quality
Maximize Restaurant Popularity

Solution & functionality
We proposed upgrading to Android POS with NFC mobile payments for faster transactions and error reduction.

mPOS terminals for NFC mobile payments solution
Timspark developed a mobile pay-at-the-table app integrated with the PAX A920 terminal, featuring NFC technology for instant transactions. NFC enables easy payment through card tapping or smartphone wallet apps, offering customers contactless checkouts right at their table. PAX 920 supports various payment methods, including QR code scanning, mobile wallets, Chip & PIN, and Swipe.

Safe payments
The cards are swiped at the terminal, which processes and transmits data via a secure protocol. Transaction details are stored in both the bank’s and restaurant owner’s databases for easy tracking. The Android POS application sends payment data to servers, notifies the cardholder of successful transactions, and prints receipts.

User-friendly interface and future-ready integration
Android frameworks and tools were utilized to create colorful, user-friendly layouts, distinguishing them from Linux’s monochrome interfaces. Custom API ensures seamless integration of new features and extensions, accommodating future plans for ordering and inventory tracking modes in the Android POS application.

Results and business value
We leveraged mobile technologies to speed up payments, boost table turnover, and optimize staff productivity in restaurants. This user-friendly innovation has not only improved daily operations but has drawn in a fresh wave of patrons.

Efficiency through tech integration
The mobile technology is integrated with PAX A920 terminals, resulting in lower risk of fraud, fewer chargebacks, and more creative tasks for employees.

Elevated customer experience
Transactions sped up fivefold, while attendance surged by 15% with user-friendly upgrades.

Business growth
Improved operational efficiency translated into increased revenue and paved the way for expansion opportunities in our client’s restaurant business.

Benefits for client
The new mobile way of doing things made the client’s day-to-day operations smoother, transactions quicker, and customers happier. Plus, they’ve seen more people dining in their restaurants, which set them up nicely for growth in the competitive restaurant business.

Our team developed a corporate HRM web application with an ‘admin-first’ approach that accelerates all the key HR processes and administrative tasks, from recruiting and onboarding to tracking personal development and benefits.

Client*
An international software development company that delivers a large spectrum of IT services ranging from IT consulting to IT staff augmentation and building advanced software solutions.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
This web solution needed to incorporate a module system with specific modules for user and access control, process management, and data administration while remaining resilient and adaptable to both internal and external changes.

Related objectives
Enable data centralization within one system
Allow adding new features without significant refinements
Integrate dashboards with analytics
Allow assigning the employee accountable for a specific process/task
Integrate and optimize business processes
Reduce the company’s operating costs

Solution & functionality
Our software development team built an automated web application and introduced a highly flexible database to correspond to frequent updates in HR and business processes. All the added features improve the handling of staffing issues and routine administrative tasks.

Results and business value
Our specialists helped to enhance the organization’s operational flow by developing a secure modular web HR software solution.

Fully functioning app to distribute on a SaaS basis
Improved workflows
Reduced operational costs
Flexible system
Stable system performance and security

The new HRM system optimized processes and reduced costs for a large firm with 1,000+ employees. Our software team continued to enhance the cross-platform HRM app, making it available globally via SaaS.

The client turned to Timspark for IoT application development from scratch. Our team was supposed to build a smart web platform that would contribute to the whole production management ecosystem in one of the client’s factories, optimize its working processes, and improve productivity.

Client*
The client is a large manufacturing enterprise in the EU, producing machine equipment for numerous partners worldwide.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
Create an IoT monitoring platform that would manage all processes at the enterprise by gathering, analyzing, storing, and processing data.

Related objectives
Build a smart factory application
Implement ML algorithms
Increase the client’s production efficiency

Solution & functionality
The team built an IoT monitoring platform with several operational modules that help oversee processes and operations within the client’s enterprise.

Predictive maintenance module
Every piece of equipment is equipped with various sensors. They continuously monitor and transmit real-time data regarding the machinery’s temperature and vibration levels. The application sends notifications to operators on any unusual temperature rise, preventing automatic shutdowns. Afterwards, algorithms scrutinize the maintenance history and suggest an out-of-schedule maintenance check.

Environmental control module
Sensors identify diverse factors that influence the well-being and security of the factory workforce. Among them are humidity, temperature, and noise intensity. Additionally, the application supervises air quality and emission levels in industrial spaces. If these standards go over the limit, the system alerts operators and provides algorithms to address the issue.

Manufacturing effectiveness module
The platform gathers data from sensors for every production division and machine and analyzes their OEE (overall equipment effectiveness). Users can see what critical factors influence OEE levels, detect potential issues, and resolve them. What is crucial is that the application collects performance metrics over a specified timeframe and helps operators see how key indicators progress.

Quality assurance module
With the IIoT platform, users can monitor the quantity and quality of components produced during one shift or any specified period. Also, they can have access to comprehensive details about each item, like production line, the count of rejected pieces, statistics, and more. Leveraging this information, system operators can spot production trends and the reasons behind elevated scrap rates and implement suitable measures to enhance the quality performance metrics.

Results and business value
Timspark has leveraged IoT for manufacturing and delivered a web application that monitors all the production processes, thus enhancing efficiency and mitigating risks. Also, our team provided maintenance and support services for the IIot platform they built. The client is eager to introduce new features and scale IoT for enterprise by applying it to other facilities.

Timspark used AI to make mobile computer vision software to track the beehive life. We also predict how the bee population will grow and how healthy it is overall.

Client
Timspark’s internal project. We were eager to independently grow expertise in Machine Learning and built an ML-powered app with prediction functionality for agriculture.

Challenge
Our team did it all for this project – from planning the product’s architecture to labeling the data and training the neural network. This hands-on approach to computer vision services helped us become experts in the field and led to a fully working product as the outcome. We tackled a set of machine learning challenges and industry-related standards of using computer vision in agriculture, too.

Solution & functionality
Our ready-made solution is a mobile app that uses computer vision in agriculture to count bees in the hive accurately. It also creates user-friendly charts and graphs, making it easy to monitor the hive’s growth and health.

Object detection for beehive population count and health tracking
We have harnessed object recognition technology, so now it is possible to scan and instantly figure out how many bees are in the hive. Also, the solution helps distinguish the regular bees from the queen bees.

A modern user-friendly mobile app
Our team built mobile computer vision software from the ground up with an easy-to-use interface. We also added a feature where a client can get automatic reports about the hive’s status using the information uploaded.

Results and business value
We’ve successfully crafted computer vision solutions for iOS, designed to assist beekeepers in caring for their beehives more effectively.

Benefits for client
Our app offers a major time-saving advantage. With traditional manual inspections taking up to an hour per beehive, our computer vision services help beekeepers inspect a hive in just 10 minutes or even less.

Our team developed a computer vision software that checks banana seedling leaves for damage all on its own. We also use advanced analytics to help our client reduce crop loss probability.

Client*
Top banana seeding supplier in the world
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The client was concerned about the possibility of using computer vision in agriculture to detect plant disease and prevent crop loss automatically. On the tech side of things, our team faced a scarcity of data available to train AI-based computer vision solutions.

Solution & functionality
We came up with a solution to place cameras in the greenhouse, putting them up high and to the side. These cameras take periodic snapshots of banana seedlings. The client can adjust the frequency of these snapshots.

Deep learning for object detection and classification
Timspark made a computer vision software module that grabs pictures of the leaves spotted by the camera. These pictures later get sent to the deep learning classifier model, which has a closer look at images and tells if a banana leaf is healthy or damaged. It can even figure out what kind of damage it is.

Plant condition reports and analytics
Our computer vision software checks out the uploaded pictures and generates a PDF report with the results. It further gives recommendations on what to do next based on the analyzed data.

Results and business value
Timspark didn’t just create and tweak the classifier model; we did it thoroughly, making sure it fits the project’s special needs and industry standards. The client is satisfied with the outcome and still partners with us on more projects to facilitate computer vision in agriculture.

Benefits for client
Thanks to computer vision services, the customer has successfully put this technology to work and significantly cut down on banana seedling losses.

The team developed an AI-based solution to automate the analysis of golf players’ positions and strokes, to boost sales for custom golf clubs manufacturing business.

Client*
The client is a major manufacturer of custom golf clubs.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
Develop an AI-based product for analyzing golf players’ positions and strokes in order to design individually fitting golf clubs. The client was already using computer analysis software for analyzing the players’ movements and consistency of strokes and wanted to fully automate the process.

Solution & functionality
The team created an AI-powered solution capable of recognizing the golf club in a player’s hand and correctly estimating the angles of his joints (the posture).

Detection of player’s positions and golf club
Our team developed a model that successfully identifies the position of a person’s body, including their arms and legs, as well as the position of the golf club, using computer vision technology.

Robust pose estimation
Our developers enhanced the model to gather additional information by measuring the angles of specified body joints through computer vision technology. The data are captured either via a mobile device camera or via a pre-installed kiosk with a camera.

Collection, analysis and processing of advanced metrics
Timspark’s specialists developed and fine-tuned the classifier model to meet the project’s unique requirements. The model analyzes received images, determines the average class among all attributes of captured objects, and subsequently identifies the target audience for the advertisement.

Results and business value
The product was developed as an MVP. All the intended functionality operates with the help of computer vision and artificial intelligence technologies.

Benefits for client
The client remained highly content with the quality and speed of the team’s work. By successfully implementing the technology into their sales process, the client doubled their sales.

Our team developed an on-premises device based on AI technologies for detecting individuals and showcasing advertisements on DOOH displays in transportation or outdoor locations.

Client*
The client is a world-leading provider of comprehensive visual technology solutions.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The fundamental idea was to create a device harnessing AI technologies for analyzing captured images, discerning the audience’s average attributes, and enabling the presentation of targeted advertising.

Related objectives
Deploy the computer vision model on edge devices with limited GPU and RAM
Train the AI computer vision model with labeled data

Solution & functionality
In collaboration with the client’s team, Timspark created a compact on-premises computer vision device that can capture and analyze visual data.

Machine learning model training for successful object recognition
The team developed and fine-tuned the classifier model to meet the project’s unique requirements. The model analyzes received images, determines the average class among all attributes of captured objects, and subsequently identifies the target audience for the advertisement.

Deployment on Jetson Nano and Jetson Xavier
To address challenges linked to the limited memory and slow data processing, the model was transformed into ONNX and TensorRT formats, ensuring its seamless deployment on edge devices such as Jetson Nano and Jetson Xavier.

Results and business value
Our specialists successfully developed a classifying model that detects and tracks individuals within the camera’s field of view. The model analyzes the captured visual data, accurately identifying selected class among all attributes, and displays targeted advertisements on nearby screens in accordance with the specified class request.

Benefits for client
The client successfully applies the computer vision software to show the advertisement effectively to the relevant audience. Based on the successful results, we are going to improve the model further in our ongoing collaboration.

Timspark leveraged the power of machine learning in banking to keep an eye on digital transactions and catch any abnormal behavior with a new extension for the existing client’s system.

Client*
We have partnered with a major bank that has branches all over the US, providing loans, deposits, and more banking products.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The key American bank faced rising financial fraud threats, and traditional systems proved ineffective. We were picking the best ways to use machine learning in banking and finance against increasing fraudulent activities that endangered customer safety and the bank’s reputation.

Related objectives
Implement ML for fraud detection
Upgrade the anti-money laundering system
Increase customer safety
Improve the bank’s reputation

Solution & functionality
We suggested adding an ML-powered extension to the banking system to scrutinize large data volumes and protect funds from malicious activities. It analyzes account holders’ transactions and raises alerts for any unusual, suspicious, or fraudulent behavior. With deep learning fintech algorithms, our team processed extensive data to spot irregularities signaling potential fraud risk.

Aggregating data
To begin, our engineers collected and unified all banking data, encompassing user identities, transaction histories, locations, payment methods, and other pertinent factors.

Detecting anomalies
We identified distinctive patterns like high transaction amounts or segmented transactions to avoid automated tax reporting, enabling ML algorithms to distinguish fraud from regular banking. Transactions are tagged as “good” or “bad”.
We also accessed a vast dataset, efficiently spotting patterns and anomalies, and selected crucial features through data comparison and elimination techniques, improving fraud risk analysis and detection.

Training the ML model
Our ML team created algorithms to catch odd situations that slip past regular rules. This extension can predict even with less data, using smart machine-learning methods. So, our solution uses embedded representations, not typical features, to handle transactions.

Implementing the ML model
Once a threat’s spotted, the system shoots real-time data to the admin, who can stop or nix operations for further digging. Depending on the fraud chance, there are three outcomes:
If fraud odds are below 5%, the transaction gets the green light.
If the odds range between 6% and 70%, an extra check like an SMS code, fingerprint, or secret question is needed.
If the fraud chance tops 80%, the transaction’s axed, needing hands-on analysis.
Plus, we set up good ML tools to explain models, making predictions clear and keeping things smooth for users.

Results and business value
Timspark’s top-notch ML extension spots fraud and takes action. Security’s solid — no breaches or financial crimes.

x2.4 speedier in processing
Our ML algorithms swiftly handle heaps of data, keeping up with the rapid transactions.

99.3% accuracy of fraud detection
Using these algorithms, we find tricky patterns that humans might miss. That means fewer mistakes and less unseen fraud.

Less mundane tasks
Our solution checks hundreds of thousands of payments per second, making the transaction process as painless as possible.

The algorithms catch tiny changes fast, checking tons of payments per second. The bank gets tighter security, faster transactions, and less chance of missed fraud. It means smoother banking and peace of mind for the end customers.

Timspark addressed the client's need in telehealth app development and created native iOS and Android applications, integrating them in the SaaS healthcare environment.

Client*
Our client is a telehealth software vendor specializing in platform-driven digital health solutions and white-label applications.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The main goal was to create a telehealth solution for iOS and Android platforms that would work seamlessly with the current telehealth web platform in the SaaS healthcare software system.

Related objectives
incorporate video conferencing functionality;
guarantee HIPAA adherence;
achieve smooth integration.

Solution & functionality
The team crafted a digital healthcare solution for remote medical care available on both iOS and Android. While working on telemedicine app development, we considered every facet of the healthcare process, from appointment scheduling to reimbursement processing. This resulted in the creation of two modules: one for physicians and one for patients.

Patient module

Security
To get access, users should pass through multi-factor authorization. As the product targets the US market, this measure is especially crucial regarding HIPAA-compliancy rules.

Personalization features
Patients input their symptoms into the chatbot, and the system correlates them with relevant physicians.

Easy scheduling
All healthcare workers have their profiles with comprehensive information, like experience, education, and timetable. Patients receive smart suggestions from the chatbot or can choose the available doctors in the list via filtering and schedule a consultation. After confirmation from the doctor, the system sends a push notification to the patient.

Multimedia integration
For doctor-patient consultations, the telehealth solution offers video calls. All electronic appointments are securely recorded and saved in a HIPAA-compliant cloud. When necessary, participants can exchange text messages and multimedia content. After the e-visit, patients are encouraged to give feedback and evaluate the doctor’s performance. Ultimately, the doctor devises a treatment plan, schedules necessary lab tests, prescribes required medications and organizes the next appointment.

Physician module

Functionality for physicians and the administrative staff
Within the telemed app, doctors have access to timetables, can validate appointments, engage in electronic consultations, prescribe medications, and generate treatment outlines. They are able to access the patients’ profiles to monitor vitals, medication intake, view appointment history, and analyze medical records.
As for the administrative staff, all the critical data is synchronized within the app which can be effortlessly linked with in-house telehealth software solutions, and the administrators can easily oversee reimbursement and healthcare billing processes.

Results and business value
The team crafted native applications for iOS and Android for remote healthcare, seamlessly merging them into the client's healthcare software setup. We provide ongoing support and implementation of new functionality for the released product.

Features:
HIPAA compliance and secure PHI
Reduced costs for healthcare delivery
Expected 5-7% boost in economic results

The team built a user-friendly asthma care app for iOS and Android platforms from the ground up, seamlessly integrating AI and ML algorithms.

Client*
A European company focusing on developing digital products.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The main goal was to develop a cost-effective care solution harnessing AI and ML algorithms that would assist both medical practitioners and individuals with asthma in treatment goals.

Related objectives
develop the app's functionality and design;
integrate AI and ML algorithms;
implement a set of features (calendar, reminders, statistics).

Solution & functionality
Our team developed an innovative asthma management app that harnesses the power of AI and ML algorithms and helps users monitor their symptoms, inhaler usage, and environmental triggers and have better control over their health.

Two users mode
The app offers two user modes: patient mode and administrator mode.
The end-users of the application are patients who have asthma. They can actively interact with the platform to ease the management of their symptoms. This involves inputting details about their primary and emergency inhalers, setting up daily reminders, and other functionalities.
Administrators are responsible for keeping the machine learning algorithm up-to-date with relevant data. They also ensure that the inventory of available inhalers within the application is consistently maintained. This guarantees that patients always have access to their prescribed medications.

Personalization: tracking, reminders, recommendations
In their personal profiles users can perform multiple functions that help evaluate and monitor the state of their health.
Users can fill in the information about the primary and secondary inhalers, customize reminders and notifications to create a personalized schedule.
Users get an overview of the day, like possible health risks, symptoms triggers, and the list of inhalations planned.
In the personal dashboard, users can access the Calendar section with the weekly and monthly statistics.

AI/ML-driven analysis and predictions
Thanks to artificial intelligence and machine learning algorithms implemented in the app, users get accurate analysis and predictions of their health state.
Based on various factors like weather, humidity, and others, the app can evaluate the risk of asthma attacks.
With submitted audios, the machine learning algorithm analyzes how patients use their inhalers and produces a summary and recommendations for further fine-tuning and usage.

Results and business value
Our team launched the MVP in 2 months, developing an innovative, user-friendly mobile solution for asthma management.

The application tracks the patient's condition, analyzes the information about the inhalations the patient takes, and provides personalized guidelines, alerts, and reminders based on the information provided.

We've developed a healthcare data management software that makes it a breeze to gather and manage patient data.

Client*
A European company supplying healthcare data management software with operations in multiple centers throughout the EU.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The client sought to enhance healthcare provider data management processes, demanding seamless integration, easy patient record access, and strict data protection compliance.

Related objectives
evaluate the current data flow design;
overhaul the data flow completely;
automate routine tasks;
design a secure, high-functionality solution.

Solution & functionality
We crafted an architecture and data flow for the healthcare provider data management, empowering the clients' staff to gather, analyze, and use patient data for tasks like assessing treatment outcomes and sharing essential information with insurance companies.

AWS
Our healthcare data management software relies on Amazon Web Services as it’s secure, flexible, scalable, and cost-effective.
Client staff input patient data in various formats, like images, videos, and text, which are sent to AWS and stored in a data lake. This data encompasses medical test results, appointment timestamps, and multimedia files from MRIs, CT scans, ultrasounds, and more.

Extract, transform, load (ETL) pipelines
We’ve devised and enacted ETL pipelines to automatically consolidate data fragments from client employees into cloud storage.

Data warehouse & data lake
All data gathered through ETL pipelines is funneled via Apache Airflow into the data lake for refinement. After refinement, it’s forwarded to the data warehouse, serving various functions, including patient treatment consultation, efficacy evaluation, in-depth data analysis, and furnishing necessary information to insurance institutions.

Access control
The healthcare data management software safeguards sensitive data with a smart access control system. This system checks employee statuses from the client’s database, granting access to patient data solely to the specialists working with the patient. Exceptions are made for substitutes during healthcare worker absences.
When data sharing is necessary, like for medical consultations or insurance requests, employees can request permission, and the healthcare data management software automatically facilitates secure data sharing, preventing accidental or intentional inclusion of extra information.

Results and business value
We've built a healthcare data management software that empowers workers to efficiently collect, store, and manage patient data, ensuring robust security measures to prevent leaks. Our software engineers have automated mundane processes and optimized healthcare provider data management for maximum efficiency.

MVP launched in 4 months
This application keeps over 1.5M active and 8M passive users secure on a daily basis.

40% of dull tasks automated
The client highly praised our development team of Android, iOS, and QA engineers for their technical expertise and communication.

As a part of a global team, our talented engineers built iOS and Android mobile security apps for a prominent US telecom giant.

Client*
A worldwide cybersecurity software leader, delivering cloud endpoint security for major enterprises while safeguarding data and ensuring regulatory compliance.

*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
Our client teamed up with a US telecom giant to build high-quality mobile data security software. Timspark led the international development team, enhancing an existing app with new features, a fresh design, data analytics, and an in-app subscription system.

Related objectives:
Develop a mobile security app
Improve data protection
Upgrade app features and analytics

Solution & functionality
We played a key role in developing iOS and Android mobile security apps for a major US telecom and mobile services provider.

Must-have mobile security app kit
The app assesses device vulnerabilities, monitors network threats, and offers expert security recommendations. It proactively defends against hackers, phishing, and phone number-related vulnerabilities.
The users stay informed with daily alerts and manage mobile traffic using a built-in VPN. All this with secure call recording and spam call blocking for a seamless mobile experience.

Essential user roles
The mobile security application accommodates four distinct user roles, each offering varying features and levels of data protection.
Users with an end-client SIM card enjoy access to the full array of application features.
Users with SIM cards from another provider have restricted capabilities, such as call logging and phone number vulnerability monitoring.
Paid subscription users benefit from comprehensive access to the app’s features.
Users with no paid subscription are granted restricted access to the functionalities.

Results and business value
We successfully developed a feature-rich mobile data security software for both iOS and Android, serving users in the US.

Over 9.5M users secured
This application keeps over 1.5M active and 8M passive users secure on a daily basis.

Exceptional communication
The client highly praised our development team of Android, iOS, and QA engineers for their technical expertise and communication.

Future plans
We still partner with the company to enhance the app’s functionality and provide ongoing support.

Benefits for client
The client reaps the rewards of robust data security for millions of users, a skilled development team, ongoing support, and the potential for cost-effective solutions, all geared toward delivering customer satisfaction and staying agile in dynamic cybersecurity and telecom sectors.

Our team upgraded identity mobile apps for iOS and Android and optimized their key verification and access management functions.

Client*
Our customer is a European software-as-a-service (SaaS) organization offering solutions for establishing and executing Know Your Customer (KYC), Know Your Business (KYB), and Anti-Money Laundering (AML) procedures in external services.

*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The main objective is to optimize the KYC framework for iOS and Android. The application had a slow validation process, and the web widget had restricted functionality. Therefore, it was not fully optimized for iOS and Android platforms. Our team was assigned to upgrade the KYC library and enhance the critical authentication capabilities.

Related objectives
Address issues with Android and iOS SDKs
Leverage unclear documentation for Nexus ID Check
Leverage documentation for the web version
Redesign and optimize the framework architecture

Solution & functionality
Our team collaborated closely with the customer to guarantee a smooth integration of SDKs into the new multi-platform application and native applications. We successfully improved the Nexus ID Check system, reorganized the library structure and framework for Android and iOS, and included a new library.

Redesigned architecture and improved functionality
Our experts have optimized the Nexus ID Check capabilities on Android and iOS platforms. We updated the system by eliminating redundant screens and conducted UI refinements. The updates resulted in faster and more user-friendly verification processes.

Thanks to redesigning the mobile framework, we reduced the time for implementing new features by 30% and simplified code maintenance. Furthermore, we introduced guidelines for integrating React Native and Flutter, facilitating the use of this library in future cross-platform solutions.

New FaceTec SDK for enhanced 3D biometrics

Before the update, our facial recognition software supported only regular recognition methods. Users had to capture multiple photos of their faces from different angles. The 2D images were sent to the Nexus ID Check server for further processing.

Our team seamlessly integrated an upgraded FaceTec SDK library to boost biometric processing. With FaceTec, the biometric data collection process has become more user-friendly and less time-consuming. The interface provides clear instructions for users, simplifying the scanning procedure and getting high-quality biometric data. When acquired, the data is processed and validated on the server’s side.

Besides optimizing the scanning and verification processes per se, our team enhanced the image quality, which led to more accurate user identification.

Optimized document verification solution

Previously, users could only add supporting documents on mobile devices by taking a photo in real-time using their phone camera. However, we have now implemented a new function that allows users to take pictures in any convenient screen orientation, add various documentation types, and upload documents directly from their phone gallery in multiple formats, including PDF. This enhancement simplifies the verification process for users as they no longer need to keep physical documents on hand to take photos each time they log in.

Instant document verification and user identification

Before optimization, users were limited to adding supporting documents on mobile devices through real-time photo capture with their phone cameras. With the new feature, users are enabled to take photos in any suitable screen orientation and easily upload various document types directly from their phone gallery in multiple formats, including PDF.

With biometric data and supporting documents, users had to upload them every time they logged into the application. An instant user identification system allows users to log in quickly using a simple face scan. The uploaded selfies are instantly verified against verified 3D biometrics and other data stored in the backend system. Users are free from the need to re-upload documents and biometric data each time they log in.

Results and business value
The resulting cross-platform app now has a wide array of features aimed at enhancing KYC/B and AML functionalities:
- Innovative face biometrics capture
- Easy data upload for the users
- Enhanced data collection on the users' geolocation
- Enhanced accuracy and verification process

The system architecture and functionality of the KYC solution on mobile devices was refined with the advanced FaceTec SDK library and incorporated 3D biometrics. The team enhanced both the verification process and the user interface.

The team developed a document and data management mobile app on iOS and Android platforms for a large blockchain technology company.

Client*
A leading blockchain technology company that has offered innovative solutions for businesses of all sizes since 2017. While they were managing the back-end development, the company assigned front-end development to our team that had the necessary expertise. 

*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The main objective is to launch a tool for reliable storage and verification of documents being stored within a blockchain system.

Related objectives
Establish workflow with client’s back-end team
Define milestones and roadblocks in the delivery process
Implement several services in both iOS and Android

Solution & functionality
Our professionals enhanced the client's in-house team from the front-end development side. Together we launched an efficient solution on iOS and Android platforms for secure document management.

Implemented features:
Generation of new files
Verification with a digital signature
Uploading different file formats
Validation and timestamping
Sharing with ID-tags
Bookmarking

Results and business value
The collaboration of clients and our teams resulted in a convenient mobile app for managing documents and data through blockchain technology. The final product offers swift, user-friendly remote document sharing and effective data validation.

Benefits for client
The client side of the application developed by our team received exceptional feedback from both end users and the client, resulting in complete customer satisfaction. The application is available on Google Play and App Store. Users can get Premium access with all functionality with usual payment methods and cryptocurrency. 

We work closely with the client collaborating on various other projects. Furthermore, we are actively enhancing the mobile application's functionality and updating the solution architecture to meet evolving requirements.

Our team launched a cloud migration service that enabled the company to streamline data analytics and automation within its corporate platform.

Client*
Large e-commerce platform specializing in clothing, equipment, and accessories. 
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The major objective for the team was to migrate the customer's corporate system to a cloud-based Power BI solution, thus enhancing its scalability and automation.

Related objectives
Reliable data storage
Enhanced functionality for analytics
Streamlined business procedures

Solution & functionality
The team moved the on-site platform to the cloud, constructed data repositories, and refined analytics dashboards.

Curated databases
The initial challenge was the substantial amount of scattered data to migrate, some of which came with numerous discrepancies and some as part of unclean datasets. However, the team managed to make the transfer process as smooth as possible.
To address the problem, our tech specialists created data marts (data storage systems specific to the organization’s business units): Operative, Employee Management, Financial, Supply Chain, and E-commerce. Data can be transferred here from various origins such as internal APIs, Salesforce, and Google Analytics, then converted and stored in the ultimate data storage.

Full-cycle automation
The team has successfully organized all data from various sources to be accessible within the Power BI platform, Despite challenges like data inconsistency and peculiarities in data representation. We implemented end-to-end workflow automation integrating all processes with data, such as extraction, mapping, filtering, as well as the creation of data marts and dashboards.

Enhanced analytics dashboards
With the existing cloud solution, the data is securely stored and automatically updated daily. Users can view all the selected data of internal processes, personnel administration, financial, supply chain operations, and marketing activities on customizable dashboards. Additionally, they can tailor how the data is displayed per their requirements. As a result, the end customer gains the basis for timely and data-driven decisions.

Results and business value
We have developed a reliable automated system with maximum code cleanliness and highly robust clusters for multiple data operations. The solution as a whole enables more resilience for the company and more effective data-driven decisions.

Real-time data synchronization
Information on products, their specifications, and availability from the e-commerce platform and the internal system is being aligned and updated on a real-time basis.

Visualization via dynamic dashboards
The customer can analyze events inside the customer's journey, from their initial website visit to the purchase (with data from Google Analytics and Salesforce), and prepare more customized campaigns based on their behavior.

Improved delivery process
The delivery process became more streamlined at all stages, on both the retailer's and the customer's sides.

Benefits for client
The team got positive feedback from both the customer and the end-user on the exceptional standard of development and efficiency of the app, as well as the effective communication throughout the project.

Our team built a DevOps toolkit for transparent development processes in the banking domain.

Client*
Bank with various departments and an extensive range of 80+ digital offerings (exclusive software, CRM platforms, ERP systems, web gateways, and mobile applications).
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
Due to the lack of a coherent software development strategy, the customer could not leverage the advantages of DevOps within the banking domain. Therefore, they encountered challenges such as fragmented codebases and inconsistent knowledge transfer, absence of automated testing, and extended time-to-market for their solutions.

Related objectives
Organize scattered codebases
Streamline communications
Reduce time-to-market

Solution & functionality
Our team considered the functional requirements provided by the customer, with cost-effectiveness and reliability in mind, to build a fully functional DevOps environment. The customer is now able to manage the application lifecycle, communications, continuous integration, testing, deployment, and monitoring with more transparency and flexibility.

Results and business value
Our experts integrated DevOps strategies and helped to improve the customer's development processes on different levels.
Improved communication
Efficient management
Faster time-to-market
10 times shorter mean time to recovery
99.7% availability

Effectiveness was considerably enhanced: the solution decreased the risk of flaws, enabled a generation of logs, revert changes function, faster product delivery, and more effective planning, testing, and monitoring.

Benefits for client
Communication between stakeholders and IT departments was improved, and management of digital solutions became efficient and predictable. The customer reached a faster time-to-market for their products.

The solution boosted the customer's metrics for critical systems: availability increased from 96% to 99.7%, and the average recovery time was reduced from 5 hours to 30 minutes.

Our team developed iOS and Android applications from the ground up, with instant payment functionalities (P2P, C2B, B2B) and banking account management.

Client*
Our client is a large IT company providing software development and IT consulting services for businesses and organizations, selected as a general contractor for a government project. Therefore, the government financial regulator acted as the end customer.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Challenge
The major objective for the team was to create a transparent and easy-to-use digital system for instant electronic payments with modules for personal data security, fraud protection, and others.

Solution & functionality
In order to protect confidential data, we integrated a multi-factor security system using data encryption, TLS 1.2, SSL Pinning, and checking for rooted devices. The processing itself is performed by a third party.

Results and business value
The team implemented a user-friendly e-payment application ecosystem with integrated modules and launched iOS and Android apps within the set deadline. The final product was successfully used by citizens of the whole country and tourists.

Features:
System with top-level security;
High-performing iOS and Android apps;
User-friendly interface;
Feature-rich functionality;
Customer satisfaction.

The team got positive feedback from both the customer and the end-user on the exceptional standard of development and efficiency of the app, as well as the effective communication throughout the project.