GAIA Fields turns fertigation from static plans into a continuously adaptive control system — bridging the gap between digital agronomy and physical field execution.
Watch GAIA in 60 seconds10–30%
Less fertilizer
$340B
Annual waste
Real-time
Adaptive control
Proof of concept
Hazera
Field pilot for the recommendation engine and agronomic validation.
Root-zone sensing and automated dosing are shown as previews: both are in development.
Decisions are based on static plans, intuition, and partial data. Farmers lack real-time visibility into what each crop actually needs — and the cost of that gap is staggering.
135%
📈Cost increase
Fertilizer costs have surged in the past decade, squeezing farm margins worldwide.
50%
💧Input waste
Half of applied fertilizer is lost to leaching or runoff before crops can absorb it.
$340B
🌍Land damage / yr
Annual global cost of nutrient leaching — polluting soil, water, and ecosystems.
A closed loop: AI agronomy generates per-nutrient recipes, a multi-tank mixing system executes them with surgical accuracy, and the system learns from every irrigation event.
Live field data
Soil, weather, and plant sensors report what is happening in the field to GAIA Cloud, alongside each field's full fertilization history.
Per-nutrient precision
Unlike tools that only plan by growth stage, GAIA's AI agronomy engine delivers a tailored recommendation for each nutrient, at every fertigation event.
Automated execution
A physical multi-tank mixing system executes the recipe with surgical accuracy and doses it through the drip line, with no human in the middle. Then the field is monitored again, closing the loop.
Why now: advances in low-cost sensors, AI-driven agronomy, and precision irrigation make real-time adaptive fertigation possible at scale.
* Automatic field monitoring and automatic mixing & application are in development. Today, GAIA plans from forecasts, lab reports and your field records, and you approve each recipe.
GAIA plugs into Claude and other AI assistants as an MCP connector. Ask in plain language, at your desk or on your phone in the field, and GAIA's agronomy engine does the work.
Plain language
Ask the way you would ask an agronomist. No menus to learn.
GAIA's numbers, not the chatbot's
Every target and dose is computed by GAIA's engine. The assistant reports it.
You stay in control
Every change is previewed first and applied only when you approve. You choose what the assistant may do, down to read-only.
Plan fertilization for the north cucumber field.
✓ gaia · get_field
✓ gaia · plan_fertilization
Peak harvest, with warm days ahead. Today's plan lowers nitrogen and raises potassium, and shows what moved each nutrient.
Nothing is applied until you approve.
Right amount, right time. Cut waste without sacrificing yield — directly improving farm margins.
Adaptive nutrition matches what each plant actually needs — driving consistency and premium-grade produce.
Less leaching and runoff, lower environmental footprint, and a credible path to ESG-grade reporting.
Phase 1 · In progress
Pilot with Hazera. Validate the recommendation engine against real fields. Collect agronomic feedback.
Phase 2 · Next
Closed-loop automated dosing. Multi-field testing across crops, soils, and climates.
Phase 3 · Future
Commercial deployment, partner integrations, and global expansion across high-value crops.
We're partnering with seed companies, growers, and forward-thinking investors to deploy adaptive fertigation at scale. Tell us how you'd like to plug in.