Timspark

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The main goal was to upgrade the outdated platform, turning the traditional e-data fetching solution into advanced software for clinical trial data management.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Timspark revitalized the customer’s outdated clinical trial data management software by modernizing the solution’s architecture to eliminate technical debt, introducing new features, and transitioning to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

1. Deploy the computer vision model on edge devices with limited GPU and RAM
2. 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.

• 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.

• 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.

• 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.

• 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.

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.

• 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.

• 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.

• 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.

• Essential user roles

The mobile security application accommodates four distinct user roles, each offering varying features and levels of data protection.

• Results and business value

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

• 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.

• 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.

• 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 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, CoreLedger 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.

• Solution & functionality

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

• 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 applications 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.

• Solution & functionality

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

• 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 customers 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 retailers and the customers 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.

• 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.

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.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.

• Related objectives

digital payment infrastructure;

availability of financial services;

resilient system security;

effective fraud detection.

• Solution and 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.