Solutions · Industrial AI

AI built for the plant floor — not the demo floor.

We design, deploy, and govern production AI for manufacturers. Systems that read your equipment manuals, watch your lines for defects, predict failures before they stop production, and answer operators in plain language — integrated with the SCADA, MES, and ERP you already run.

20 production AI products · 80,000+ professionals trained across 20+ countries · 72 NPS

What it means

Industrial AI is AI applied to plant operations

Not generic enterprise chat bolted onto a factory. The difference is in three constraints we design around from day one.

Integrates with plant systems

SCADA, MES, ERP, historians, and equipment manuals — the AI reads and acts on the data you already generate.

Respects OT/IT separation

Operational-technology safety and IT security stay intact. Nothing we deploy puts the line at risk.

Measured on operational KPIs

Uptime, scrap rate, energy per unit, time-to-answer — not demo wow-factor.

Capabilities

Six ways AI shows up on the floor

Predictive Maintenance

Catch equipment failure before it stops production. We model sensor patterns and maintenance history to flag degradation early, so teams plan interventions instead of reacting to breakdowns.

Quality Control

Real-time defect detection with vision systems on the line, plus root-cause analysis. Find the defect and the reason it appeared — material, parameter, or process drift.

Energy & Process Optimization

Recommend operating parameters that cut energy and waste while holding quality. The system learns the trade-offs your best operators know and makes them available on every shift.

Document & Manual Intelligence

Turn thousands of pages of equipment manuals, SOPs, and maintenance records into an instant, searchable answer engine. 30-minute manual lookups become sub-minute queries.

Conversational Operations

Ask the plant a question in plain language — “why did line 3 trip last night?” — and get an answer grounded in your real plant data, not a generic guess.

Production Analytics

Natural-language analysis over production data. Operations leaders ask questions and get charts and answers without waiting on a BI queue.

Proof in production

MillMind, live on a paper mill

Our paper-mill operations AI runs in daily production at JMC Paper Tech — used by 60-80% of plant staff every day. Not a pilot. A system the floor depends on.

400-700
Daily queries
85%+
Return-user rate
<1 min
Lookup time (was 30 min)
4.3/5.0
User-rated accuracy

Industries

Built for the sectors that run on uptime

Paper & PulpCementTextileAutomotiveChemicalsMetalsPharma ManufacturingFood Processing

How we engage

Build · Train · Govern

Industrial AI cuts across all three of our practices. One team builds it, teaches your people to own it, and keeps it plant-safe.

Build

Production AI products deployed on your floor, integrated with your systems and measured on your KPIs.

See MillMind

Train

We bring your operations and IT teams up to speed on industrial AI, so the system is owned in-house, not rented.

AI for Manufacturing training

Govern

Plant-safe AI governance: OT/IT separation, access controls, and compliance oversight built in, not bolted on.

Governance advisory

FAQ

Common questions

How is this different from generic enterprise AI?

Generic enterprise AI is built for documents and email. Industrial AI is built for the plant — it integrates with SCADA, MES and ERP, respects OT/IT separation, and is measured on operational KPIs like uptime and scrap rate.

Will this connect to our existing plant systems?

Yes — that's the point. We integrate with the SCADA, MES, ERP, historians and document repositories you already run, rather than asking you to replace them.

Is our operational-technology environment safe?

We design around OT/IT separation from day one. The AI reads and reasons over plant data without compromising the safety boundaries of your operational systems.

Do we need a big data-science team to run this?

No. We build the system, and through our Train practice your operations and IT staff learn to own it. The goal is in-house ownership, not permanent dependence.

How fast can we see results?

Document and conversational use cases such as manual intelligence and plant Q&A typically show value fastest. MillMind reached daily use by the majority of plant staff in production.

We operate in India — who do we talk to?

Our India operations run a dedicated Industrial AI practice. Visit aiguru.in/industrial-ai to reach the India team.

Ready to put AI on your plant floor?

Tell us your line, your systems, and your KPIs. We'll come back with a proposal grounded in what's actually deployable — not a demo.

Request a Proposal →