Students of the Data Science educational program at Ualikhanov University have developed the Sator platform based on artificial intelligence (AI) to assess the condition of sown areas and forecast agricultural crop yields. This was reported by the press service of the Ministry of Science and Higher Education of Kazakhstan.
The project was presented at the National Founder Cup Astana 2026 startup competition and won first place. The jury highly praised the Sator platform, noting the students’ innovative approach and practical benefits for the agricultural sector. A total of 16 teams participated in the competition.
From AgroMind to Sator
In May 2026, students presented their development named AgroMind at a university competition of projects in the field of artificial intelligence organized within the AI Sana program, and took first place.
The programmers received 1.5 million tenge for project development. The developers refined the technological solution and gave it a new name — Sator.
What Sator can do:
- combine satellite monitoring data, meteorological indicators, soil characteristics, statistics
- AI analyzes the obtained information and makes a forecast of agricultural crop yields
The algorithm helps farmers with work planning, assessing risks, and making effective management decisions.
Students have already tested Sator using data from 178 land plots. The developers are in talks with farmers about introducing the platform to their farms. In 2027, the project will be scaled, machine learning algorithms will be improved, and it will be brought to the market.