KitRUM

Pawsquad is an online consultation with an experienced UK-based veterinarian for instant advice on keeping your pets happy and healthy.

We did a solid job with adding new features to PawSquad’s existing platform.

Features we’ve implemented:

• migrated to new Angular and Python
• online video conferencing capacity
• map Integration
• online appointment booking
• doctor listings with search and filters

• The project is an unlimited subscription service that provides access to a wide range of books, audiobooks, news and magazine articles, documents, and more. Subscribers can get millions of titles through the platform on their iPhone, iPad, Android, Fire device, or web browser. This makes it easy to access titles wherever and whenever they want. Besides, users can save their favorite titles, create collections, bookmark titles and build the library of their dreams.

The platform uses analytic tools and recommendation engines to help people discover the millions of titles available on its platform, encouraging its users to read without limits by providing content according to their interests.

Data is a core of the recommendation engine, and the main issue here is the inability to process the platform’s massive data sets using legacy technologies. Due to their outdated on-premises Hadoop system, Data Team faced a lack of access control to production data, difficulties with platform scalability, high support requirements, and hefty maintenance costs.

Thus, the Data Team at the company had the vision to unify and democratize their data and move it all to the cloud. As a new solution required to implement an advanced tech stack, company sought high-skilled devs to enhance its Data Team.

The involvement of an experienced team would significantly increase the effectiveness of development, improve the quality of the product, and minimize the time for platform delivery. Since the previous project’s stack had hefty maintenance costs, it was also crucial to reduce development and maintenance costs.

The main challenges:

• Developing a cutting-edge, easy-to-use, and maintained platform for Data Scientists and Data Analysts.
• Providing smooth platform migration from Hadoop to Cloud solution without interrupting client’s business processes.
• Ensuring platform data security while hundreds of Data specialists are working at the same time.
• Achieving product conformity to the audit requirements.
• Reducing maintenance costs while enhancing operational efficiency.

Solutions:

• Databricks on AWS to unify all analytics and AI workloads in one place, benefitting both data warehouses and data lakes

• Delta Lake to provide the foundation for storing data and tables

• Apache Airflow to allow Data specialists to build, monitor and troubleshoot pipelines with ease

Integrating cost-effective infrastructure Databricks on AWS and the AirFlow orchestrator, which has replaced a previous custom solution on Ruby, saves thousands of dollars monthly. Sure, our team did not stop there and continued our partnership with client.

We are currently working together on the optimization of a delivered platform to make it even more cost-effective. Our main task is to reduce data warehouse costs as data amounts keep growing.

Franatech specializes in developing, producing, and supplying underwater sensors to measure dissolved gases. Their products are utilized globally in various industrial applications, including offshore oil and gas exploration, aquaculture, water and wastewater management, and hydroelectricity.

The client requested a solution that can be divided into two stages: launching the MVP to display data from Franatech’s sensors and creating a monitoring system capable of predicting the location of oil and gas leaks underwater.

Main challenges:

• Complex data integration & management
• Monitoring & predictive software development

The project was divided into 2 major milestones: 

• The 1st milestone involved developing a Minimum Viable Product (MVP) to quickly demonstrate software visually representing data from Franatech’s sensors;
• The 2nd milestone focused on creating a solution to analyze data, perform data simulations, and identify potential underwater leaks of oil and gas. 

The entire KITRUM team for both solutions consisted of a Solution Architect, a Project Manager, a Python Full-Stack Developer, and later а Frontend Developer (React, Bootstrap).

We adopted a classic Waterfall methodology for project management to promote effective collaboration between Franatech, institute specialists, and our team. GitHub was the primary tool for development and project management, where all project materials, including the Wiki, were stored in one centralized location. All used libraries had free commercial licenses. We utilized Jira and Confluence for task management, while Slack and Gmail were our primary communication tools. We conducted regular online discussions via Google Meet.

We created a software solution from scratch to display data from Franatech sensors. For the MVP, we initially created graphs using Python. Then, we developed a proper front end using React.js that visualizes the data from the back end. Our team completed the MVP of real-time data visualization in 2 months.

Tracking oil leakage is an essential part of the drilling process. Any undetected leak damages the sea’s biosphere. We collaborated closely with Franatech’s partner institute to develop a monitoring and predictive system for detecting underwater oil and gas leaks. The institute’s technical specialists established the final requirements. After an additional 5 months, the final version of the monitoring and predictive system was ready, just in time for launch.

Feedback was positive as we met all requirements on time. KITRUM is proud to have contributed to a project that enhances ecological well-being, environmental protection, and economic growth.

Our client, Tawkify, is a unique matchmaking service that offers a personalized alternative to traditional online dating. Tawkify has been working in the market since 2012. Tawkify engages human matchmakers who work to connect compatible individuals. These matchmakers carefully evaluate clients’ preferences and values to identify suitable matches.

Additionally, Tawkify assists in planning dates by suggesting activities and locations based on client’s preferences. Clients also receive ongoing support and guidance from their matchmaker throughout the process. The profiles always remain private, and every match gets a criminal record screening and video screening.

As the microservice architecture can be challenging to improve efficiency, Tawkify requested that Kitrum increase the capacity of its matchmakers and reduce the time from registration to the first date.

Main challenges

• Enhancing the Matchmakers' Capacity 
• Reducing the Time from Registration to the First Date 
• Establishing Testing Performance from Scratch 
• Workflow and Communicational Fitting

To ensure efficient collaboration between both parties, Tawkify and Kitrum engaged several top specialists: the Project Manager and Engineering Manager are on Tawkify’s side, while the AM POC and Client Partner are on Kitrum’s side.

In this project, we follow the classic Agile project management approach, which involves breaking the project into phases and emphasizes continuous collaboration and improvement. We utilized Jira and Confluence for task management.

We developed a roadmap to guide our ongoing project, which includes scheduled releases every two weeks and regular sprint planning. We improved the existing web platform at the first stage, and as of 2024, our main focus is on supporting and fixing bugs in this web solution.

Our teamwork has produced substantial results:

• Boosted user experience and efficiency of the web application;
• Decreased the time from registration to a first date by ~20%;
• Developed flexible solutions can be adapted to the frequent CR from the product stakeholders;
• Set a unified performance monitoring process that can be assigned to any team.

KITRUM is pleased to have contributed to a project that assists people in finding their partners and the love of their lives through a customized approach. We meet regularly to ensure our strategies for ongoing support are aligned. Tawkify also views us as tech partners for potential future projects. 

GetMeo represents a transition from a B2C approach to a B2B solution, aiming to build a memory layer for companies. GetMeo reflects an ongoing effort to use AI to improve productivity and knowledge management, evolving from an initial personal tool concept to a more robust B2B solution.

GetMeo’s development spanned 3 months, including 1 month of ongoing collaboration with technology partners to integrate and adapt to AI technology advancements and 2 months of active development. The project is continuing — we are enhancing the feature list, which will take 2 more months.

The team adopted an Agile-inspired development approach, emphasizing rapid testing and validation. Project tasks were managed using Jira and Notion, while the team communicated through Slack, Telegram, emails, and regular meetings held 3-4 times per week.

Implemented features:

• Human-like chatbot
• Conversational interactions
• Collection of data and support in the form of emails
• Upload of documents in any format and quantity
• Support for YouTube videos
• Support for links from the internet
• All conversational and file exchange history saving
• Numerous other integrations with messengers such as Slack, note-takers such as Notion, etc.

By creating AI Knowledge Agents that collect and contextualize information, GetMeo aims to:

• Streamline information access, reducing the time employees spend searching for and organizing project-related data;
• Improve collaboration and decision-making by providing teams with quick contextual support;
• Enhance productivity by enabling employees to focus on higher-value tasks instead of being bogged down by information management.

GetMeo has the potential to significantly improve the quality of work-life by mitigating the negative impacts of information overload, such as stress and decreased productivity.

We helped our client to build integrating 3D-modelling, Augmented Reality (AR) and 3D printing into the classroom. This is an education AR application that helps children to discover the world in a real-time process. For this project, we've created a dedicated team with 4 software developers React and Unity.

KitRUM developed and created an application for the preparation establishment. The App is for the undergraduate and mentors, the undergraduate can take a shot at their assignments, submit cases, register for online classes, buy courses, send texts to their coaches. For this project we used Flutter. 

The application empowers organizations to distinguish and enlist top talents from the market. Post to top employment sheets in a single hit and source talents automatically to fill your gaps. At that point speed through assessments with natural devices that make it simple and pleasant to oversee candidates, plan meetings and assemble responses.

This mobile app is designed both for iOS and Android platforms. Applicable for those, who look for the easiest way to locate geostationary satellites, coverage maps and zone, by projecting them onto a 3D globe, on their mobile devices anywhere in the world.

Enterprise flexible open-platform for online patient-focused actionable interventions.
Allows customers (medical organizations) to assemble their own guidelines, educational materials, and processes into a white label product that is branded and scalable.

The Daily Present is an Austrian Startup in the growth phase. Through their iPhone app and website they publish sponsored content to more than 10k active users. The system is richly gamified and provides a lot of bonuses and gifts to its users.

The client was looking for an offshore development team to support and develop the platform. The first task for market expansion was the Android version.

With established backend and small changes in UI needed we managed to develop MVP version in a month and complete the full app in 2,5 months.

Skills

• Java
• Android SDK

– integration with third-party service (proxy) to get Google Search outputs;
– Big Data aggregation;
– paralleling of data handling processes;
– sophisticated analytical and statistical calculations;
– Big Data visualisation.

Skills

• Big Data aggregation
• Big Data visualisation
• Analytical and statistical calculations
• Proxy integration

Industry: Marketing
Vivuso’s innovative platform gathers and displays your online brand presence and user-generated content. It boosts conversions and enhances every online business.

Main features of the system:

– Communication tool with your users;
– Widget which collects conversations and content from FB, Twitter, YouTube, Pinterest etc and puts them in one chat;
– Possibility for your users to leave feedbacks/questions.

Skills

• Java 8
• Multi-Tenant Data Architecture
• Spring MVC
• Spring Security
• Hibernate
• MySQL
• Quartz
• GWT
• Facebook API
• Twitter API
• YouTube API
• Pinterest API.

Dance Heads, a company in the field of innovative entertainment, had plans to release a new product using augmented reality. They required not just the software development, but also the app marketing consultancy and content creation.

For the needs of the project, we’ve developed a content management system. App itself was developed with cross-platform technology Unity 3D and published to iOS and Android devices. The first 3D effects were also developed with our help.

The app had a huge success and became the main product of the company. The rights for it were sold to several European countries and the audience continues to grow.

Web application

Industry: eCommerce, Analytics
Web application which generates marketing reports based on information from uploaded .xls files, Google Analytics and input information.

Main features of the system:

– Visual reports and tables;
– Highly customizable system for certain client;
– 3 sources of information: imported files (by user), manually input information (by user), Google Analytics information (automatically);
– Daily email reporting module.

Project duration: 2 years and counting.

Team: 2 back end developers, 1 UI specialist.