As the share of renewable energy continues to grow, the need for large-scale energy storage solutions becomes increasingly critical. Ensuring energy security and maximizing profitability requires careful, data-driven planning of investments in energy production, storage, and consumption. Long-term decisions demand robust calculations – presented in a way that enables all stakeholders to make swift and

Artificial intelligence projects are becoming an essential part of digital transformation, but ensuring their success requires more than just cutting-edge technology. At STACC, we’ve seen firsthand that successful AI implementations depend on clear goals, strong collaboration, and a structured approach. The building blocks of a successful AI project A well-executed AI project starts with a

The electricity market has developed rapidly in recent years, creating new opportunities but also bringing complex challenges. Market participants must manage vast amounts of data daily – from real-time prices and consumption forecasts to production volumes. In such conditions, manual data processing is both time-consuming and prone to errors, directly impacting a company’s efficiency and

AI is only as good as the data it learns from. In retail, messy data can lead to costly mistakes. STACC helps businesses clean and structure their data, ensuring AI-driven solutions work accurately and efficiently. Find out why data cleaning is the key to success!

How can policymakers quickly find the right data in a sea of information? STACC and TEXTA developed a smart semantic search tool that helps civil servants retrieve critical insights faster and more accurately. Learn how AI is making decision-making more efficient!

How do you keep customers coming back? STACC and Coop Eesti created an AI-driven personalized pricing system that tailors discounts to individual shopping habits, boosting loyalty and engagement. Discover how data science is shaping the future of retail!

How can we predict solar energy production with greater accuracy? STACC’s AI-powered model combines weather data and machine learning to optimize energy forecasting. With a backup plan for unpredictable conditions, we’re paving the way for a cleaner, greener future!

The popularity of electric cars has grown significantly worldwide, and in Estonia this trend is similarly on the rise. However, in many countries where the spread of electric vehicles is more extensive, questions are being raised about the ability to keep the electricity network stable. Enefit, in collaboration with STACC OÜ, has developed an innovative

How can we predict soil temperatures without sensors? STACC and eAgronom developed a data-driven model using meteorological insights and machine learning to optimize farming decisions. Discover how AI is transforming precision agriculture!