Your intelligence frontier for agriculture.
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Our flagship agronomy Vision-Language Model, open to the world.
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Why we built Agronomist-1
Across the Global South, a single extension agent can be responsible for thousands of farmers — most working with limited connectivity, low digital literacy, and agritech tools too complex to help in the moment. So we built Agronomist-1 — an open Vision-Language Model that sees a crop and reasons like an agronomist, putting grounded, season-long guidance within reach of every farmer and every field.
Perception
DeepLeaf-Agronomist-1 doesn't just classify a pixel — it comprehends the scene and performs structured phenotyping in near real-time, far beyond conventional computer-vision techniques. Traits, stress, and severity, read straight from an image.
Data Hubs
Enhanced satellite imagery, hyperlocal weather, and soil data are fused into a continuously refreshed record for each field — a planet-scale overwatch that never sleeps on a farm, so no one has to guess.
Every feature, one record
Diagnosis, treatment, irrigation, yield, and traceability all land in one place. Every reading, event, and action is logged into a verifiable field passport you can hand to a buyer, insurer, or program.
The Platform
One orchestrator for multi-modal narrow-AI models, enhanced imagery, hyperlocal data, and robotics — a single stream of real-time agronomic intelligence.
Traits, stress, and severity read straight from an image in near real-time.
A purpose-built harness wraps DeepLeaf-Agronomist for grounded, schema-valid answers.
Real-time tool-use into the DeepLeaf Data Hub over CLI and MCP.
A living, multi-layer model of every field, refreshed continuously.
Season-long yield prediction from imagery, weather, and growth signals.
A verifiable record of every reading, event, and action — audit-ready.
VRA prescription maps that place inputs exactly where they're needed.
Hyperlocal guidance on when it's safe and effective to spray.
1,500+ conditions across 83+ crops identified from a single photo.
Water-balance guidance tuned to soil, crop stage, and forecast.
Enhanced imagery refreshed on every pass, computed per field.
Phenological stages tracked to time every intervention precisely.
Soil and nutrient insight fused into the living field record.
Signals of stress and risk surfaced before losses become visible.