Investor Relations

Building the intelligence layer for Indian agriculture

MiittiAI unifies soil, weather, crop and economics data into one engine, and powers the tools farmers, agribusinesses and governments use across the crop lifecycle — from sowing through to export and carbon measurement.

AI crop intelligence4 FTA corridors, liveOpen API ecosystemTransparent carbon MRV
Incubated
IIM Calcutta Innovation Park
Supported
North Eastern Council, Govt. of India
Best Agri Startup
ICC 2024
4
Live FTA export corridors
UAE · Japan · Malaysia · South Korea
8,400+
Species in carbon reference database
Zanne et al. 2009 wood densities
12
Agronomist-reviewed guides published
Knowledge Hub, updated seasonally

The problem

Agriculture needs a unified intelligence layer

Today's agricultural ecosystem is fragmented, reactive, and difficult to scale across regions, organizations, and climate conditions.

01

Fragmented agricultural systems with no unified intelligence layer

02

Lack of predictive climate intelligence for smallholder farmers

03

No scalable platform connecting farmers, enterprises, and climate stakeholders

Our solution

An AI-driven agricultural operating system

MiittiAI brings advisory, forecasting, soil intelligence, trade tools and carbon measurement together in one scalable layer.

✓

Crop lifecycle intelligence (sowing → harvest)

✓

AI-powered advisory engine

✓

Climate risk prediction (floods, droughts, heatwaves)

✓

Soil health and irrigation optimization

✓

Open API ecosystem for partners

✓

FTA export-duty intelligence built on official tariff schedules

FTA export intelligence

Verified export-duty intelligence, corridor by corridor

Built from official tariff schedules rather than estimates. Live for four India export corridors — the UAE, Japan, Malaysia and South Korea — with further corridors in preparation. Free and public.

Check an export duty

Carbon MRV

Measurement you can audit, not a black box

Most carbon tools publish a number. We publish the method: deterministic allometry, cited reference data, and a traceable calculation record behind every tonne.

Chave et al. 2014 allometry with Zanne et al. 2009 wood densities across 8,400+ species

IPCC-aligned carbon fraction and root-to-shoot ratios, consistent with FSI/ICFRE method

Every claimed tonne traceable from calculation back to field measurement and evidence

AI and data moat

Built on multi-source intelligence

The platform improves over time as more real-world agricultural data flows through the system.

Multi-source data: soil, weather, satellite, farmer inputs

Predictive models: yield, risk, water stress

Continuous learning from real-world agricultural data

Open ecosystem

Designed to connect the entire agriculture value chain

Open APIs allow MiittiAI to integrate with drones, logistics, finance, and agri platforms.

Farmers
FPOs
Agribusiness
Government
Climate Orgs

Outcome targets

What the platform is designed to deliver

Target outcomes grounded in published agronomic research, used to design the platform. These are design targets, not claimed results — field validation is in progress with partner farms.

+20%
Yield improvement target
−30%
Water-use reduction target
−20%
Input cost reduction target
New
Export market access

Partner with MiittiAI

Join us in building climate-resilient agriculture

We work with investors, agribusinesses, government programmes and climate organisations. Detailed materials available on request.