Case studies

AI Virtual assistant platform that serves both students and staff. What began as a fragmented system of disconnected databases is now transforming into one intelligent, unified interface.

A DevOps transformation project that turned manual Azure management into automated infrastructure. Achieved 86% infrastructure cost reduction with over 22% annual savings through Infrastructure as Code using Bicep and CI/CD pipelines.

Validated concept for an AI home care platform through AI Product Blueprint and stakeholder workshops. Delivered implementation roadmap, budget estimation, and clickable prototype.

AI virtual assistant that processes emails to extract meeting details and provide instant status updates. Turns complex email threads into quick overviews, halving time spent on scheduling.

Implemented MLflow to track model performance and compare approaches. Improved code quality with business logic tests and established agile workflow for better team collaboration.

An AI-based student assistant designed to act as a 24/7 personal academic advisor, providing personalized, accurate information to help students make informed educational choices.

• Optimizing architecture with a scalable, cloud-based solution;
• Building a search engine with FaceNet inspired architecture;
• Auto-scaling for 75% fewer tasks running in quieter parts of the day

A scalable and 100% reusable cloud solution that simplifies decision-making processes for 8,000 shops (supported with explainable models), reduces food waste and increases revenue.

An algorithm that recognizes brand logos in any online image, allowing our clients to monitor brand reach and engagement. The system works with 60% accuracy, making it the most effective algorithm of its type.

A solution that automatically detects the most engaging content from across the web for any given category based on a defined taxonomy.

A model for accuracy of popularity prediction model reaching over 0,7 (F1 score) when classifying the post to the specific category.

A solution that supports preparing TV program descriptions. We built a hybrid extraction method based on regular expressions, linguistic rules, and statistical language models, using dependency analysis to decompose templates.

A simple app powered by machine learning and neural networks to automate tax filing with accuracy over 99,2%

A platform that automates the process of invoice reconciliation. The tool removed the manual effort involved in classifying invoices, helping the accounting department better track costs.

Suguard is a mobile app that uses state-of-the-art AI to personalize diabetic therapy and help patients in their everyday management of this chronic disease. It aims to predict and recommend actions to stabilize blood glucose levels, decreasing the risk of complications, thus reducing treatment costs.

A web application dashboard that presents data from online marketing campaigns run on different platforms (inc. Facebook, Google AdWords, BDM, Adfrom).

Improved collection of child maintenance supported by  community of 6,000+ parents and legal experts.

A tool that reviews how specific target groups use Facebook. The algorithm analyzes the social network to glean information around what type of imagery a user group prefers. Then, it leverages the insights to deliver a hyper-specific look across different websites.