KoraLabs provides a unified data hub and context-aware AI assistant for agronomists, consolidating scouting notes, product labels, weather, soil data, and regulatory documents into a searchable workspace. The platform enables instant, data-driven crop recommendations, automated reporting, and real-time alerts through natural‑language queries. It also archives all farmer communications, allowing agronomy teams to track, reuse, and audit recommendations efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Agriculture input and certification companies face challenges in developing and promoting sustainable farming practices due to difficulties in building trust with farmers, long R&D cycles, fragmented data, and complex monitoring processes. Farmers are hesitant to adopt new practices due to uncertain ROI, lack of trust, and high costs, while certification agencies struggle with data collection and validation for environmental compliance.
Solution
KoraLabs provides a data platform that empowers agriculture input and certification companies to drive the adoption of better farming practices. By integrating client data with soil maps, satellite imagery, and weather forecasts, KoraLabs develops digital twin fields that simulate real-world conditions and provide predictive analysis and insights. The platform delivers personalized crop management recommendations, streamlines the certification process, and ensures ongoing compliance with environmental standards, enabling clients to provide better solutions to farmers.
Target Audience
The primary users are agriculture input companies, green certification companies, R&D teams, and agronomic advisors seeking to enhance product development, improve advisory services, and streamline certification processes.
Features
- Digital twin technology that forecasts the success of experimental trials and evaluates the potential ROI of specialty products and green practices
- Integration of client data with soil maps, satellite imagery, and weather forecasts to develop and refine agronomic models
- Real-time, data-driven insights that empower R&D teams, agronomic advisors, and certifiers with targeted crop management recommendations
- Continuous monitoring that delivers accurate, actionable data to streamline the certification process and ensure environmental compliance
- Predictive analytics for scenario analysis and root cause analysis
- API access to integrate with existing systems