Machine Learning
Algorithms and statistical models that enable systems to improve their performance through experience and data.
AI consulting from strategy through deployment. Machine learning, generative AI, and data engineering — tailored to your challenge.
Start a ProjectWe specialize in leveraging machine learning to resolve intricate challenges, enhance decision-making, and facilitate expansion.
From recommendation systems to predictive maintenance, our services cover the full spectrum of AI-powered solutions. Based in Brno, Czech Republic, we partner with businesses across Europe to turn complex data into competitive advantages.
End-to-end AI capability — from initial strategy and planning to model development, deployment, and maintenance.
Algorithms and statistical models that enable systems to improve their performance through experience and data.
Transforming data into original content — helping businesses create, innovate, and scale with generative models.
Biologically-inspired techniques to solve complex optimization problems that traditional methods cannot handle.
Engineering and operations practices for the reliable development, deployment, and management of ML systems.
Practices and tools designed to improve the efficiency, reliability, and quality of your data processing pipelines.
Cloud-based data warehousing solutions for petabyte-scale datasets with modern architecture and tooling.
We love what we do. Here are some of our latest projects.
A collaborative filtering system that analyses purchasing patterns to deliver highly personalized product recommendations, driving measurable increases in conversion and customer satisfaction.
View Case StudyMachine learning optimisation system using historical delivery data to generate optimised routes, reducing fuel costs and delivery times across the entire logistics network.
View Case StudyA co-evolutionary system that optimises multi-channel marketing budgets simultaneously, finding non-obvious synergies between channels that traditional attribution models miss.
View Case Study