AI Operating System for Crop Inputs

AI that decides what your field needs — and coordinates how it gets applied.

AgriIOS AI transforms soil, crop, weather, pest and geospatial data into precise crop-input decisions, dynamic formulations, supplier matching and autonomous deployment workflows.

From field datato AI prescriptionto autonomous deployment
FIELD · PLOT 24-A · LIVE
17.3852° N, 78.4867° E
NDVI · CANOPY · MOISTURESCAN COMPLETE
Field Health Score
82+6 wk/wk
Nitrogen Deficiency RiskMedium
Pest PressureHigh
Suppliers Nearby3 matched
AI Recommendation

Apply Nano-Urea + Targeted Fungicide at 18L/acre within 36h.

Cost Saving
24%
Chemical Reduction
31%
Expected Yield ↑
9.6%
Deployment

Drone Spray · Operator ETA

4h· dispatch ready
AgriIOS Core v1.4 · 12 models activeLearning loop: streaming
The Problem

Agriculture's intelligence layer is missing.

Every season, billions of dollars and millions of acres are lost to decisions that are too generic, too late, and too disconnected from execution.

Blanket spraying

Inputs are applied uniformly across heterogeneous fields, ignoring micro-conditions.

Chemical overuse

Fertiliser and pesticide overuse damages soil health and inflates input cost.

Rising input costs

Volatile fertiliser and chemical prices crush already-thin farm margins.

Poor timing

Recommendations arrive after disease pressure or stress windows have passed.

Fragmented suppliers

Inventory, pricing and logistics live in disconnected silos.

No farmer-level intelligence

Generic advisories ignore plot-specific agronomy and history.

No diagnosis-to-deployment link

Sensing, decision, sourcing and execution sit in separate, manual hand-offs.

Crop losses from delay

Yield and revenue erode every hour between detection and action.

The Platform

Sense. Decide. Source. Deploy.

One operating system that closes the loop from field signal to applied input — and learns from every outcome.

01

Sense

Continuous ingestion across every signal that matters.

  • Farmer input & history
  • Soil tests & IoT sensors
  • Satellite & drone imagery
  • Weather, crop stage, pest reports
02

Decide

Domain-tuned AI models translate signal into prescription.

  • What input is needed
  • Dosage, timing, urgency
  • Formulation strategy
  • Cost and yield-impact estimate
03

Source

Recommendations meet the real-world supply network.

  • Input suppliers & raw materials
  • Local stock & nano-inputs
  • Fertilisers & pesticides
  • Seeds & biologicals
04

Deploy

Recommendations become executable, accountable jobs.

  • Drone operators & spray teams
  • Local depots & micro-factories
  • Proof of completion
  • Compliance & traceability logs
Core Modules

Six engines. One operating system.

A modular architecture so agribusinesses, cooperatives and governments can adopt the layers they need — and grow into the rest.

M01

AI Crop Prescription Engine

Analyses crop, soil, weather and disease signals to generate precise treatment recommendations.

M02

Dynamic Formulation Intelligence

Recommends field-specific mixtures, concentrations and input combinations based on agronomic and cost constraints.

M03

Supplier Optimisation Layer

Matches recommendations with available suppliers, inventory, price, distance and delivery time.

M04

Deployment Orchestration Engine

Converts recommendations into executable jobs for drone operators, spraying teams or local partners.

M05

Traceability & Compliance Ledger

Tracks recommendation, formulation, supplier, operator, weather, dosage, location and proof-of-application.

M06

Learning Data Network

Every field result improves future recommendations and regional crop intelligence.

Why Now

A category-defining window.

The technology, the economics and the policy environment have aligned for the first time. The platform that wins becomes infrastructure.

01

AI is finally agronomic

Multi-modal models can fuse imagery, weather, soil and field history into reliable, plot-level recommendations.

02

Drone adoption is scaling

Spraying drones and operator networks have crossed unit economics — coordination is now the bottleneck.

03

Input prices keep rising

Fertiliser and pesticide costs are structurally higher; precision is the only durable hedge.

04

Chemical reduction is mandatory

Buyers, regulators and consumers all demand measurable reductions in agro-chemical load.

05

Governments back sustainability

Policy and subsidies are aligning behind precision agriculture and traceable application.

06

Input supply is fragmented

Thousands of suppliers, formulations and SKUs need a software layer to become a network.

Platform Architecture

A closed-loop intelligence system.

Field signal becomes prescription becomes execution becomes outcome data — feeding the next prescription.

  1. 01

    Farmer / Field Data

    soil · weather · IoT · imagery

  2. 02

    AI Diagnosis Engine

    pest · disease · stress · growth stage

  3. 03

    Crop Prescription Engine

    what · how much · when

  4. 04

    Formulation + Cost Optimisation

    mixtures · concentrations · budget

  5. 05

    Supplier Matching

    inventory · distance · price

  6. 06

    Deployment Layer

    jobs · scheduling · routing

  7. 07

    Drone / Sprayer / Micro-factory

    execution + proof

  8. 08

    Compliance + Outcome Data

    ledger · yield · efficacy

  9. 09

    AI Learning Loop

    every field improves the model

Use Cases

From fertiliser efficiency to outbreak response.

One platform, deployed across the highest-leverage agricultural workflows.

Yield Economics

Fertiliser optimisation

Replace blanket NPK with field-specific dosing. Cut waste, improve uptake, raise yield-per-rupee.

Sustainability

Pesticide reduction

Targeted spraying based on real pest pressure maps — measurable chemical reduction without yield risk.

Rapid Response

Disease outbreak response

Detect early, prescribe instantly, dispatch operators within hours instead of weeks.

Advanced Inputs

Nano-urea & next-gen inputs

Operationalise advanced formulations with the dosing precision they actually require.

Establishment

Seed treatment & crop establishment

Right seed, right treatment, right timing — coordinated across local depots and operators.

Marketplace

Agritechi marketplace integration

Decisions flow directly into Agritechi for execution: suppliers, drones and field teams in one network.

Execution Network

AgriIOS AI decides. Agritechi deploys.

AgriIOS AI · Intelligence Layer

  • Plot-level diagnosis and prescription
  • Formulation and cost optimisation
  • Continuous learning from every outcome

Agritechi · Execution Network

  • Drone operators and spray teams
  • Input suppliers and local depots
  • Field-level proof and compliance

AgriIOS AI is the intelligence layer. Agritechi is the execution network. Together they turn agronomic decisions into accountable, on-field outcomes.

Business Model

Multiple recurring revenue lines.

A network business with software, marketplace and execution economics — designed to compound.

R01

SaaS Subscription

For agribusinesses, cooperatives, drone companies and input suppliers.

R02

Transaction Fee

Fee on successful input deployment jobs across the network.

R03

Marketplace Commission

Commission on input sales fulfilled through the platform.

R04

AI Prescription Fee

Pay-per-field or pay-per-acre recommendation pricing for farms.

R05

Enterprise Licence

For large farms, governments, agri corporations and cooperatives.

Building the intelligence infrastructure for agriculture.

Apply for early pilot deployment or talk to us about investment and partnerships.