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Case Studies

Projects we have delivered.

A monitoring system running in every store of a retail chain in Poland, and an AI framework we designed for Acterys. Each case study describes the problem, our approach, the solution and the result.

Retail

An international retail chain

POS Monitoring & Loss Prevention · Poland, every store

Live in production
Problem
Retail shrinkage (losses from theft and errors) is a constant cost for retailers. The loss-prevention team had to find and review the video for every flagged transaction by hand.
Approach
We built a production system that connects HikVision and UTC CCTV with the iPOS transaction stream (POSLog). Video and transaction data are synchronised and searchable, and a configurable rule-based alarm engine flags suspicious transactions.
Solution
A live view of all checkout lanes, transaction–video sync, an alarm review queue, receipt search and exportable evidence packs. The system is deployed in every store and runs 24/7.
Result
Live in every store. The synchronised video and transaction data are the base for the planned AI extensions: skip-scan detection, anomaly scoring and automated reporting.

Anonymised · full reference available under NDA

Planning software · Proof of concept

Acterys

AI Framework Design · acterys.com

Completed · proof of concept
Problem
Acterys makes business planning and analytics software. It needed an AI framework as the base for several new products planned for 2026.
Approach
We worked closely with the Acterys team and turned complex requirements into a practical, scalable AI architecture.
Solution
We designed the AI framework and delivered it as a proof of concept.
Result
The project is complete. Acterys describes the framework as the base of several solutions it is bringing to market in 2026.

Ready to see what is possible in 6 weeks?

A fixed-scope Discovery & PoC tests the approach on your data. At the end you get a working prototype and a go/no-go recommendation.

Poland · EU · Hosted in the EU, you choose which AI models see your data