We implemented an AI assistant in an automotive workshop to automate daily work organization by integrating data from the calendar, inventory system, and financial module.
Category Archives: Case studies – en
Revolutionary AI Solution for Capsule Endoscopy
AI Revolutionizes Diagnostics in Capsule Endoscopy – Advanced CNN-Based System Automatically Detects 11 Types of Pathologies, Assesses Bowel Cleanliness, and Filters Out Redundant Images, Reducing Analysis Time by up to 80%.
Intelligent automation of service requests in property management
We implemented an AI system that automates the classification of service requests and forwards them directly to the appropriate contractors — without manual work.
Sales Chatbot as a Customer Support Solution
Our team implemented an intelligent sales chatbot that automates inquiry handling, qualifies leads, and supports B2B customers in exploring the offer — 24/7, without adding workload to the sales team.
Modern API with Artificial Intelligence for Reading and Posting Cost Invoices
By implementing AI and a custom-built API, the company automated invoice processing by up to 90%, reducing the time from days to minutes and significantly lowering costs — even in a multilingual, international environment.
Help Desk for the Factory – Intelligent Maintenance Support Powered by AI and Shop Floor Expertise
Herodotus is an AI-powered Help Desk system that supports maintenance teams in manufacturing by integrating technical knowledge and documentation in one place. It enables fast diagnostics, reduces downtime, and provides secure, 24/7 access to knowledge across all shifts.
Shape Recognition Automation Using Machine Learning – Optimizing Production Costs at a Toronto Plant
Machine learning supports manufacturing – automating the analysis of DXF files and cutting parameters helped a Toronto-based factory save up to $65,000 annually and significantly reduce CO₂ emissions. Read how we modernized the process without replacing existing machinery.
Revolutionizing Railroad Sleeper Damage Detection with AI/ML
For an international company specializing in automating railroad processes, we developed software to identify specific foundation defects.
AI/ML Application in Hypoglycemia Risk Prediction for Diabetic Patients
AI/ML supports diabetes care – the system analyzes patient data and alerts about hypoglycemia, enhancing safety and reducing the burden on medical staff.
Application of AI/ML in recognizing bacterial strains based on Fresnel patterns
The developed system reduced bacterial identification time from 7 days to less than 24 hours and achieved over 96% accuracy, as confirmed by an ISO-certified laboratory. The solution is non-invasive, cost-effective, and fully automated.