Manufacturing
Plant data sits in systems that were never meant to talk to each other. We connect it, govern it and put models on it that warn the floor in time to act.
Updated October 19, 2026
A prediction the shift cannot act on is a report, not a safeguard.
Your plants run, the ERP is in place, and sensors are already on the critical equipment. Their data rarely reaches anyone in time.
Late visibility
Execution and historian systems tell you what happened once the shift is over, and the first sign of failure is the stoppage itself.
What waiting costs: lost shifts, scrap and rework you first see in the month-end report.
Exposure at the plant boundary
Connecting plant systems to the enterprise and the cloud widens the attack surface of equipment that was never designed for it, and ISA/IEC 62443 and NIST guidance on OT security set the bar your security lead will hold you to.
What waiting costs: the connection you need is the one your security lead cannot approve.
Models the floor does not trust
A prediction operators cannot question gets ignored, and alarm fatigue is a known failure mode on any plant floor.
What waiting costs: a model that is right and switched off.
| Market | What supervisors are looking at | What it means for an agent |
|---|---|---|
| United States | NIST SP 800-82 guidance on operational technology security, ISA/IEC 62443 for industrial automation and control systems, and CISA guidance for the critical manufacturing sector. For plants handling highly hazardous chemicals, OSHA process safety management, including management of change. | A model reads from the plant and does not write to control systems without a person. Every link between plant and enterprise is owned and approved. A change to how the process runs goes through your management of change. |
| India | The Digital Personal Data Protection Act 2023 for worker and customer data, and CERT-In directions on incident reporting. | Personal data used by a model has a recorded purpose, and incidents can be reported from the log. |
| Europe | The NIS2 Directive, which brings many manufacturers into cybersecurity risk management and incident reporting, and the EU Machinery Regulation for machines with AI-driven safety functions. | Plant-to-cloud links sit in the cyber risk register, and any model that touches a safety function is assessed before it runs. |
| Other markets | Each market has its own industrial safety and cyber rules. | We confirm the local rulebook at the start of every engagement. |
The data exists in the plant and the enterprise, but nothing moves it between them fast enough, and nothing explains what a model concluded. Execution, ERP, historian and quality systems are linked point to point, each link a fragile single point of failure.
How long after a machine starts to fail does someone who can stop it find out?
The same trace, with and without a warning
We get one critical asset's data off the line and onto a governed platform first, then put a model on it the shift can question.
Apigee between execution, ERP, quality and maintenance systems, with one owner and one policy for each connection, and the plant network behind a boundary your OT security lead approves.
You hold: an interface inventory your OT security lead has signed.
Apigee and APIsSensor and machine events carried as event streams on Google Cloud into BigQuery, from one line first, with the control network untouched.
You hold: live readings for one critical asset on one governed platform.
Vertex AI, BigQuery and dataPredictive and quality models on Vertex AI that show operators why they fired and let them override, with every override recorded.
You hold: one model in production on one line, with its warnings, reasons and overrides logged.
Vertex AI, BigQuery and dataEasy to start
Choose one workflow, name one owner, and give us time with the people who sign it off.
We bring engineers and the gateway design, we work inside your environment under your security rules, and we write the review pack alongside the build.
A good first workflow is one critical asset on one line. See the fixed-price ways to start.
What the work feels like
One workflow is chosen and one person owns it. The questions your reviewers will ask are written down before any build starts. Your maintenance lead reviews the model's first warnings, with the readings behind them, before any alert reaches the floor.
Governance goes in before the first agent does: the gateway, the audit trail and the access rules. Your risk team sees them working.
A working demo you can show your own review board, not a status slide.
A decision log that can rebuild any action, and a go-live date that was agreed at the start.
Seen it before
Production readiness check
A short readiness check on a live or planned agent workflow. You get a score and the principles worth another look.
Take the readiness checkNo. We read from the systems you run today and add a governed layer between them and the enterprise. The plant keeps running on what it knows.
Not unless you decide it should. By default the model warns and a person decides; any automated action you approve has limits, is logged and goes through your management of change.
Data leaves through one approved boundary, in one direction, with the plant and enterprise zones kept apart in the way ISA/IEC 62443 describes. Your OT security lead approves the path before any data moves.
The asset that stops your line most often and already has sensors on it. One asset gives the shift a working warning quickly and gives you a model you can measure.
Yes. Each plant keeps its own systems, and one governed API and data layer sits above them, so a model built on one line can be reused on the next.
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