The Platform
Solutions
Two solutions make up DeepLeaf: the Agronomist intelligence, and the Data Hub it runs on. Everything else is a use case of these two.
DeepLeaf Agronomist
DeepLeaf Agronomist is a large, agentic Vision-Language Model with a Mixture-of-Experts architecture. It sees the crop, reasons like a specialist, and acts — orchestrating narrow AI models and live field data through its own harness, flow engine, and the Data Hub MCP server.
Learn more Connect-anything data & toolingDeepLeaf Data Hub
DeepLeaf Data Hub connects any sensor, API, or camera and drives any actuator — fusing enhanced satellite, weather, and soil with your own sources into a continuously refreshed field record. Per-org knowledge base and RAG, multi-tenant teams, a full API, and an MCP server that powers DeepLeaf Agronomist.
Learn moreWhat you can build
One platform, many use cases.
Crop health diagnosis
Pests, diseases, deficiencies, and weeds identified from a single photo.
Per-field monitoring
Continuous crop intelligence from the field's living data record.
Pest & disease early warning
Weather-driven risk flagged days before an outbreak is visible.
Treatment advisory
Legal, dose-correct plans matched to crop, stage, and jurisdiction.
Yield forecasting
Season-long yield estimates from imagery, weather, and growth signals.
Agro-dealer matching
Diagnosis routed to the right, compliant product for each farmer.
Field digital twin
A living, multi-layer model of every field, refreshed continuously.
IoT & robotics
Ingest sensor streams and cameras; drive actuators and machinery.
Input demand forecast
Aggregate field signals into seasonal input demand by region.
Compliance & traceability
A verifiable field passport for buyers, insurers, and programs.
Get started
Put an agronomist in every field.
Start free on the open model, or talk to our team about deploying DeepLeaf at scale.