Pestren gives any LLM grounded, cited answers about real fields — soil, water, pests, yield, and what to do next. Plug in the API, the skills, or the MCP server and build your own farm app for any crop, in any country. Then prove it on our playground against every other model.
The model changes. Pestren's grounded answer doesn't.
A general model reasons in the abstract. Pestren resolves the field, cites the sources, and returns an answer your agent can act on — for any crop, anywhere.
Every answer ends in an action — and, when you want it, the exact product to buy and how to set it up.
One intelligence layer, built into any product. Every card is a real question a partner's agent can ask — from a single plot to a global supply chain.
Better results field by field: soil and irrigation management, yield maximization, pest and disease control, precision agriculture — grounded and actionable.
Forward-deployed agriculture: hand Pestren a plot and a budget and it plans the crop, the method, and the setup. A family member with no experience can start — and take over.
Query verifiable field data to write reports, settle claims, underwrite loans, value collateral, and make decisions — every figure sourced and audit-trailed.
Put the right product on the right field at the right time, reduce chemical load, and map real demand — tied to verified crop, stage, and pressure.
Size markets and place machinery where ground conditions actually fit — parcel-level agronomy instead of guesswork.
The data and APIs to map, train, and structure higher-accuracy products — and deploy faster. Your detections flow back as ground truth.
Students and agri-tech universities research and prototype faster on real, sourced, reproducible field data — from lab to field.
A new way to engage kids: grow, measure, learn — turning schoolyards, campuses, and parks into productive learning plots that lift both produce and understanding.
Track and monitor at scale, design and implement policy on verifiable data, and — during climate hazards — analyze, model, and prototype response solutions.
Global food and CPG buyers monitor sourced produce and inventories, maintain supply, and run sustainability and grower-support programs on real field data.
One layer, four ways in. Pick an endpoint, drop in a key, and start pulling grounded, cited field intelligence into any model — GPT, Claude, Gemini, Llama, or your own.
Run any farm question at any coordinate and score Pestren against every other model on the axes that actually matter — grounded, cited, fresh, and actionable.
| Model | grounded2.5 | cited2.0 | fresh2.5 | action3.0 | score/10 |
|---|---|---|---|---|---|
| Pestren | ✔ | ✔ | ✔ | ✔ | 9.4 |
| GPT-5 | ✔ | ✔ | – | – | 4.5 |
| DeepSeek | ~ | ✔ | – | – | 3.3 |
| Claude | ✔ | – | – | ✔ | 5.5 |
Global authoritative sources: FAO, national agriculture agencies, ESA Sentinel, NASA, SoilGrids, and live weather — combined with a growing field-verification network. Every answer names its sources.
Weather daily, satellite on its revisit cycle, risk weekly; each value carries its own timestamp.
Every fact is tagged literature-only, field-verified, or lab-confirmed. You always see which.
Any crop, any geography; verification depth grows region by region.
Your questions and coordinates are never used to train models.
Free tier + metered API; volume plans for enterprise; grower access kept low-friction.
Pause and see which vibe matches your energy after knowing about Pestren and share your thoughts.
The things partners and growers ask us most — starting with where the intelligence actually comes from.
timestamp so you always know how recent it is.
literature-only, field-verified, or lab-confirmed — so you always see whether it's backed by published sources, ground truth from the field, or lab results.