Our focus is on developing cutting-edge predictive models using genetic algorithms - advanced optimization techniques inspired by natural selection.

These algorithms efficiently analyze large datasets, helping to improve decision-making processes in industries such as finance, healthcare, manufacturing, and logistics.

Genetic algorithms provide powerful problem-solving capabilities, particularly for sectors dealing with complex systems and vast amounts of data. Whether optimizing resource allocation, enhancing AI systems, or solving logistical challenges, our models offer tailored solutions to meet the unique demands of your business.

The Data Smart project, led by Star Finder OÜ, aims to develop software based on genetic algorithms to optimize AI training. The service offers significant reductions in computation time and data labeling efforts. As a tailored IT solution, we assess each client's unique needs, mapping out their requirements to determine data labeling accuracy and quality control. Clients provide a dataset and specify the characteristics required for training data, along with any necessary configuration. We then automatically select data with the appropriate features and configuration and subject it to a quality test. The project's goal is to create one full-time job within the company, and as a result, this position will be established as the service is launched. The project is supported by EIS with funding of 20 000 euros.