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Industries · Manufacturing

Manufacturing software development,on the shop floor.

MES overlays, predictive maintenance, quality, and ERP bridges — connect the line to the ledger.

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01 / Manufacturing GDP

$15T

02 / Downtime cost

30%

03 / Cloud MES

50%

04 / IML delivery

8+ yrs

Manufacturing demand drivers

Pressures manufacturing teams are under — and where AI helps.

  1. 01 · Driver

    Predictive maint.

    Teams in manufacturing prioritize predictive maint. — we scope roadmaps and AI features around measurable outcomes in this area.

  2. 02 · Driver

    Quality AI

    Teams in manufacturing prioritize quality ai — we scope roadmaps and AI features around measurable outcomes in this area.

  3. 03 · Driver

    MES bridges

    Teams in manufacturing prioritize mes bridges — we scope roadmaps and AI features around measurable outcomes in this area.

Manufacturing solutions

Software we ship for manufacturing operators and product leaders.

  1. 01

    MES & work instructions

    MES & work instructions integrated with your core systems and instrumented for the compliance posture Manufacturing teams expect.

  2. 02

    Predictive maintenance

    Predictive maintenance scoped around measurable KPIs in Manufacturing — with runbooks your operators can follow after launch.

  3. 03

    Quality inspection

    Quality inspection shipped in demo-ready slices so stakeholders can validate workflows before full rollout.

  4. 04

    Inventory & planning

    Inventory & planning designed for auditability, access control, and handover documentation from day one.

  5. 05

    Supplier portals

    Supplier portals integrated with your core systems and instrumented for the compliance posture Manufacturing teams expect.

  6. 06

    Energy monitoring

    Energy monitoring scoped around measurable KPIs in Manufacturing — with runbooks your operators can follow after launch.

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

Manufacturing AI layer

Intelligence for manufacturing that survives review — not demos.

  • 01 · AI

    Defect vision

    Defect vision with evaluation harnesses, human review, and monitoring tuned for Manufacturing risk profiles.

  • 02 · AI

    Demand planning

    Demand planning deployed with guardrails, fallbacks, and cost controls — not experimental prompts in production.

  • 03 · AI

    Schedule optimization

    Schedule optimization validated against Manufacturing data realities before end users see automated decisions.

  • 04 · AI

    Safety monitoring

    Safety monitoring paired with observability and rollback paths your on-call team can act on.

Stack & proof

Built for your stack.Shown in shipped work.

From Manufacturing 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 Manufacturing teams pick IML

A partner built for manufacturing 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.

Manufacturing questions

Answers for leaders scoping the next manufacturing 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