Manufacturing
Plant data in Indian factories sits in machine controllers, execution systems and the ERP, and rarely reaches anyone in time. We connect it on Google Cloud, govern it and put models on it that warn the floor while there is still 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
Readings sit in machine controllers and historians, and most plants still see them as a report the next morning. By then the shift has been lost and the dispatch date has moved.
What waiting costs: lost shifts, rework and a customer who hears about the delay before your sales team does.
Traceability
Bureau of Indian Standards Quality Control Orders make certification mandatory for many notified products, and global buyers audit the supplier as closely as the part. Quality data scattered across systems turns every audit into a project.
What waiting costs: an audit answered with spreadsheets, and an order that goes to a supplier who answered faster.
Connected plants
CERT-In's directions reach companies as well as service providers: a reportable cyber incident has a six-hour clock, and ICT logs must be kept in India. Plant networks connected one project at a time rarely have that trail.
What waiting costs: the connection you need becomes the one your security head cannot approve.
| Regulator or law | What it asks | What it means for an agent |
|---|---|---|
| CERT-In directions (April 2022) | Report specified cyber incidents within six hours; keep ICT system logs for 180 days within India; synchronize clocks to the designated time servers. | Every plant-to-cloud interface logs to a store in India on synchronized time, and the incident path is tested before go-live. |
| Bureau of Indian Standards, Quality Control Orders | Mandatory certification to Indian Standards for notified products. | Quality and test records trace to the batch, so a model's quality call can be checked against the standard the product is certified to. |
| Digital Personal Data Protection Act 2023 and DPDP Rules 2025 | Consent, notice and purpose limits for personal data, including employee and customer data. | Models that touch operator, attendance or customer data use only what the purpose allows, and every access is logged. |
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.
It can. CERT-In's April 2022 directions apply to body corporates as well as service providers, so a reportable cyber incident at a connected plant falls inside the six-hour window. We design logging and the incident path with that in mind, and your counsel confirms the scope for your company.
No. We design a governed, one-way path from the plant network to Google Cloud, and your operations and security leads approve it before any data moves.
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