Case studies / Eesti Looduse Infosüsteem
Transforming Estonia’s Nature Information System with AI-Driven Insight
Problem
- EELIS, Estonia’s central system for biodiversity and nature protection data, was built on a monolithic, workstation-based architecture
- The legacy structure limited scalability, usability, and integration with modern digital workflows
- Conservation specialists, monitoring teams, and field workers needed a more flexible, responsive platform for complex data management and evidence-based decision-making
Solution
- SRINI led the complete modernization of EELIS, migrating it to a microservices-based architecture
- Built on PostgreSQL geo-databases with interactive map applications and automated CI/CD deployment pipelines
- Restructured the platform for seamless data exchange with external registries and support for mobile field tools
- Designed with AI potential at its core — enabling advanced pattern recognition, decision support, and geospatial analytics
- Open data publishing enables training of machine learning models for environmental research
- Reworked data models provide the foundation for automated insight generation and predictive analysis
- AI
- Java
- Public
- UX
Result
- Intelligent, scalable, and data-rich platform for nature management across Estonia
- Specialists equipped with significantly improved tools for fieldwork and day-to-day operations
- Automated data flows replace manual processes
- AI-ready infrastructure in place for future environmental forecasting, planning, and conservation strategy
- EELIS transformed from a static registry into a strategic decision-support system for Estonia’s natural heritage
