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Industries · Agritech

Agritech software development,from field to fork.

Farm management, traceability, marketplaces, and IoT telemetry — connecting growers, distributors, and buyers.

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01 / Agtech investment

$22B

02 / IoT on farms

40%

03 / Traceability demand

2×

04 / IML builds

8+ yrs

Agritech demand drivers

Pressures agritech teams are under — and where AI helps.

  1. 01 · Driver

    Yield models

    Teams in agritech prioritize yield models — we scope roadmaps and AI features around measurable outcomes in this area.

  2. 02 · Driver

    IoT telemetry

    Teams in agritech prioritize iot telemetry — we scope roadmaps and AI features around measurable outcomes in this area.

  3. 03 · Driver

    Traceability

    Teams in agritech prioritize traceability — we scope roadmaps and AI features around measurable outcomes in this area.

Agritech solutions

Software we ship for agritech operators and product leaders.

  1. 01

    Farm management apps

    Farm management apps integrated with your core systems and instrumented for the compliance posture Agritech teams expect.

  2. 02

    Supply chain traceability

    Supply chain traceability scoped around measurable KPIs in Agritech — with runbooks your operators can follow after launch.

  3. 03

    Commodity marketplaces

    Commodity marketplaces shipped in demo-ready slices so stakeholders can validate workflows before full rollout.

  4. 04

    IoT ingestion platforms

    IoT ingestion platforms designed for auditability, access control, and handover documentation from day one.

  5. 05

    Weather & yield models

    Weather & yield models integrated with your core systems and instrumented for the compliance posture Agritech teams expect.

  6. 06

    Co-op ERP overlays

    Co-op ERP overlays scoped around measurable KPIs in Agritech — with runbooks your operators can follow after launch.

Pair with our AI solutions and engineering services for program-scale delivery.

Agritech AI layer

Intelligence for agritech that survives review — not demos.

  • 01 · AI

    Yield prediction

    Yield prediction with evaluation harnesses, human review, and monitoring tuned for Agritech risk profiles.

  • 02 · AI

    Pest & disease alerts

    Pest & disease alerts deployed with guardrails, fallbacks, and cost controls — not experimental prompts in production.

  • 03 · AI

    Price forecasting

    Price forecasting validated against Agritech data realities before end users see automated decisions.

  • 04 · AI

    Quality grading vision

    Quality grading vision paired with observability and rollback paths your on-call team can act on.

Stack & proof

Built for your stack.Shown in shipped work.

From Agritech programs to cross-vertical platforms — the technologies below reflect what we deploy most often, alongside engagements you can review in our portfolio.

See more work

Platforms & tools

  • React
  • Next.js
  • Node.js
  • Python
  • TypeScript
  • PostgreSQL
  • AWS
  • Docker
  • Kubernetes
  • GraphQL
  • Flutter
  • Figma

Selected engagements

A glimpse of what we ship

Full portfolio
Why Agritech teams pick IML

A partner built for agritech delivery with measurable outcomes.

  1. 01 · Edge

    AI-first delivery since 2018

    Eight years shipping products with applied AI — not slide decks. We pair model work with production UX, APIs, and observability.

  2. 02 · Edge

    Regulation-aware by default

    Audit trails, access control, and documentation your security and compliance teams can hand to reviewers without translation.

  3. 03 · Edge

    Prototype → production path

    A working slice on your data in weeks, then a validated rollout cadence your stakeholders can track.

  4. 04 · Edge

    Offshore value, onshore clarity

    India-based engineering with US/EU-friendly communication, demos, and written decision records every sprint.

See how we work for how engagements run.

Agritech questions

Answers for leaders scoping the next agritech build.

  • Yes. We combine domain research with your data and workflows in discovery — then ship a prototype on a real pathway in weeks.

  • Access control, audit logs, encryption, and documentation are architectural defaults — scoped to your regulatory envelope at kickoff.

  • We integrate via APIs, events, and batch pipelines with ERP, CRM, and legacy cores — overlay-first unless you want a greenfield build.

  • A focused MVP or rapid POC is typically four to ten weeks depending on integrations and compliance depth.

Let's build

Turn your roadmap into living AI products.

Tell us what you want to launch — we’ll outline a practical path from first prototype to production, with milestones you can track and no forced long-term contract.

[email protected]
Book a discovery callWhatsApp us

Response time

Under 1 business day

Confidentiality

NDAs on request

First prototype

Often within a week