Agros provides a data integration layer that connects existing farm equipment, spreadsheets, weather services, and sensor platforms without requiring migration or replacement. Its autonomous agents consolidate scouting, spray, and outcome data to deliver actionable recommendations, track treatment efficacy, and alert users to emerging pest outbreaks, while continuously learning to improve predictive insights for farm managers.
Funding
Funding not disclosed
Founders
Product
Problem
Farm operators often rely on disparate tools—machinery software, spreadsheets, weather services, and sensor platforms—that do not communicate, making it difficult to aggregate scouting, spray, and outcome data for timely decision‑making and pest management.
Solution
Agros offers a data integration layer that connects existing farm equipment, spreadsheets, weather APIs, and sensor services without requiring data migration or replacement of current tools. Autonomous agents read from and write back to these sources, consolidating information into a unified view. The platform analyzes scouting reports, spray records, and treatment outcomes to generate actionable recommendations, track the efficacy of applied products, and alert users to emerging pest outbreaks across multiple fields. Continuous learning from each interaction refines predictive insights, helping growers anticipate pest pressure and optimize inputs using real‑world data.
Target Audience
Primary customers are commercial farm managers and agronomists who use a mix of machinery software, spreadsheet‑based data tracking, and sensor networks to manage large acreage and need integrated, data‑driven insights.
Features
- Connectors for major equipment platforms (e.g., John Deere), satellite NDVI data (Sentinel‑2), over 25 IoT sensor providers, weather services (Open‑Meteo), and common data stores (Google Sheets, Airtable, CSV/Excel)
- Bi‑directional agents that read from and write back to existing tools, eliminating the need for data migration or system replacement
- Automated recommendation engine that evaluates treatment efficacy and suggests alternative products when pest pressure persists
- Cross‑field outbreak detection that flags pest patterns when multiple fields report the same issue within a short timeframe
- Predictive analytics powered by continuous learning from scouting, spray, and outcome data to forecast pest trends and inform management decisions
- Integration via APIs and webhooks for seamless data flow between Agros and the user’s existing software ecosystem