We developed an algorithm that can process signals from a hydraulic hammer during seismic surveys, replacing costly and hazardous measurements using explosives.

Thanks to our solution, the client gained a cheaper, safer, and faster way to study rock formations.

We developed an algorithm that increased the success rate of detecting electricity theft from 15% to 50%.

Thanks to this, the client significantly reduced costs and gained a system capable of identifying even atypical energy fluctuations in the grid.

We developed an algorithm capable of detecting traders exploiting latency between stock exchanges. As a result, it was possible to block practices that were technically legal but distorted the market and harmed regular investors.

Trading thus became safer and fairer, which strengthened trust and attracted new clients.

We implemented a solution based on Google Analytics 4 that enables near real-time detection of anomalies in e-shops – from payment gateway outages to incorrectly entered prices.

Thanks to this, the client reduced errors and operating costs and can now respond to issues within minutes instead of days.

We developed a system that detects anomalies in web search engine data in real time. Thanks to this, the client can respond more flexibly to emerging issues.

We developed software that optimizes electricity flows among multiple entities within an energy community. Using production and consumption forecasts, it saves 5–10% more costs compared to optimizing individual households separately. The savings are then fairly distributed among all community members.

We developed a machine learning–based system that increased the success rate of detecting malicious websites and prevented employees from accessing risky sites in real time. As a result, the risk of malware infection and corporate data misuse was significantly reduced.

Implementation of predictive control.

We developed an algorithm that uses local search and graph optimization to fairly distribute branch territories. The system works with population and geographic data, allows defining custom metrics, and brought the client higher accuracy and network stability.

We developed a system connected to the accounting software Pohoda and Dynamics 365 that can automatically generate financial reports in Power BI. Companies and accounting firms thus have accurate real-time metrics, simplifying management and increasing the value of client services.

We helped a company developing a blockchain platform set the right financial parameters and verify their functionality.

Thanks to our solution, the client gained a tool that enables parametric simulations of the system’s behavior and predicts its future development.