Key Takeaways
- OneSoil has launched AI Agronomist, an in-app assistant that gives farmers a plain-language daily summary of conditions across their fields, following a €1 million round from existing investors.
- OneSoil's platform is used by more than 1.16 million people globally, including roughly 140,000 active farmers managing over 70 million hectares, about 4% of the world's cropland.
- The assistant pulls together satellite imagery, weather forecasts, and agronomic records into a single daily natural-language answer, flagging zones needing immediate attention such as flooding or pest risk.
- According to user reports, OneSoil's tools have helped farmers save between $10 and $85 per hectare depending on crop type, with enterprise clients including Corteva, BASF, Cargill, and Bayer.
- AI Agronomist is built on satellite data OneSoil has accumulated since its 2017 founding, combined with proprietary models for field boundary detection, crop identification, and productivity zone analysis.
OneSoil Launches AI Agronomist for Daily Field Insights
OneSoil, a Swiss agtech company building AI tools for precision agriculture, has launched AI Agronomist, an in-app assistant designed to give farmers a plain-language daily read on what's happening across their fields. The launch follows a €1 million funding round from existing investors.
The company's platform is already used by more than 1.16 million people across Europe, Latin America, the U.S., Africa, and Australia, including roughly 140,000 farmers active each year who collectively manage over 70 million hectares — about 4% of the world's cropland.
“AI Agronomist is essentially an additional brain that remembers everything, calculates quickly, and provides the information needed to make operational decisions. Instead of 20 dashboards, farmers get just one good answer,” said Stepan Zulynskyi, CEO of OneSoil.
Turning Precision Ag Data into a Single Daily Answer
Precision agriculture has given growers more data than ever, but synthesizing it into decisions still falls on the farmer. On a typical 1,000-hectare operation spanning more than 20 fields, tracking ground conditions means moving between satellite imagery, weather forecasts, and agronomic records, then combining all of it by hand — a daily task that competes with the work of actually running the farm on thin margins.
AI Agronomist is designed to close that gap by pulling those data streams into a single daily answer delivered in minutes through natural-language chat. The assistant flags zones requiring immediate attention, such as areas affected by flooding or at risk of pest outbreaks, recommends responses, and answers on-demand questions such as what has changed in the field over the past 48 hours.
OneSoil's Satellite Data and Model Training
AI Agronomist is a multimodal AI agent combining large language models with vision-language models, trained on the satellite data OneSoil has accumulated since its founding in 2017. The system pairs that historical data with proprietary models for identifying field boundaries, detecting crops, and analyzing productivity zones.
“What we've been doing all these years is learning how to process satellite data and extract meaningful agricultural insights, and now we've transferred that knowledge into the agent,” said Katya Kheistver, CPO & COO at OneSoil.
The company's own agronomists shaped the assistant's prompts and workflows, aiming to keep its advice field-relevant rather than generic. Beyond individual growers, OneSoil's broader suite of tools is used by enterprise agricultural input clients including Corteva, BASF, Cargill, and Bayer.
Rising Input Costs Drive the Launch Timing
The launch comes as farmers worldwide contend with rising input costs driven in part by geopolitical instability, with European nitrogen fertilizer prices climbing sharply over the past year. Against that backdrop, OneSoil is positioning AI Agronomist as a tool to help growers protect output while reducing spending, framing the assistant as a response to margin pressure across the global agriculture sector.
