top of page

Match the right biology to the right field.

Empowering farmers and agronomists with soil intelligence that turns a soil test into a clear, practical recommendation on biological inputs.

The Problem

Soil tests tell you what is missing. They do not tell you what to apply.

Most farmers receive soil readings for pH, nitrogen, phosphorus and potassium. What they rarely receive is guidance on which biological inputs actually suit that soil, that crop and that season.

Biofertilisers are often sold and applied generically, using the same product regardless of field conditions. This can lead to inconsistent results and reduced confidence in biological solutions.

The science exists and the products exist. What is missing is the decision layer in between.

Match the right biology to the right field.

Deep analysis of soil composition, nutrient levels, and microbial health for precision farming.

What SoilMind AI Does

Biological Input Matching

Matches soil and crop conditions to suitable biological inputs such as mycorrhizal fungi, rhizobium and PGPR.

Agronomic Rule Base

Recommendation logic built from published research and hands-on commercial biofertiliser production experience.

Inside the Platform

See how SoilMind AI transforms soil data into practical biological recommendations.

H2-app-screen-1-input.png

Enter your field details

SoilMind analyses soil, crop and season

Get a clear input recommendation

Soil Intelligence

We leverage AI to transform complex agricultural data into actionable intelligence. Our platform supports resource-efficient, climate-resilient, and sustainable farming practices by optimizing soil health and nutrient management for long-term productivity.

OUR ECOSYSTEM

Partnering with the Global Agricultural Community

The Soil Intelligence Graph

Our platform integrates a Soil Intelligence Graph with a Biofertilizer Microbiome Matching Engine. By mapping complex soil data with biological solutions, we provide actionable insights for nutrient management and sustainable crop productivity.

Built for Offline Use

Designed to work where the signal does not.

Many of the farms that need this guidance most have limited or unreliable connectivity. SoilMind AI is being built offline first, so a recommendation can be generated on the device from locally stored agronomic logic, and synced later when a connection is available.

Where We Are Now

Building the foundations for practical soil intelligence, one step at a time.

book.png
Agronomic Rule Base Built

Matching logic documented from published research and production experience.

smartphone.png
Platform in Development

Offline-first soil intelligence application currently being built.

location.png
Field Evaluation Being Arranged

Pilot discussions underway with agricultural extension support in Guntur District, Andhra Pradesh, subject to applicable procedures and farmer consent.

rocket.png
UK Launch Targeted

2026

Common Inquiries

Explore how SoilMind AI integrates deep soil diagnostics with advanced predictive modeling to transform your agricultural yield.

How does the Soil Intelligence Graph work?

It maps soil chemistry, crop requirements and environmental conditions against a documented agronomic rule base to identify which biological inputs suit a particular field.

Do I need special equipment?

No. The system works from standard soil test data and field details, and is being built to work offline first.

How does SoilMind AI help reduce input costs?

By matching biological inputs to actual field conditions, recommendations aim to reduce unnecessary nutrient application while maintaining or improving crop productivity. Measured results will be published once validated pilot data is available.

How secure is my farm's agricultural data?

Data privacy is paramount. Your granular farm data is encrypted and remains your intellectual property, used only to provide your specific insights.

Interested in a pilot on your fields?

We are looking for farmers, advisors and cooperatives to work with during early field evaluation.

bottom of page