The agentic AI operating system for the automotive factory. Autonomous AI agents connect engineering knowledge, live production and the machines on the floor — one brain, running the plant end to end.
Every automotive supplier fights the same battles — engineering documents that drift out of sync, changes that never fully land, problems that surface only after they've cost a shift, and knowledge that walks out the door when people leave.
PFMEAs, control plans and inspection plans managed by hand. One changes, the others don't. Gaps stay invisible until an auditor finds them.
ECRs raised but downstream documents never updated. Suppliers still working to old specs. The same mistake, repeated.
Years of hard-won lessons held in a handful of heads. When they leave, it goes with them — and the same failures return.
Downtime, scrap and manning gaps managed in spreadsheets and heads — visible only after they've already cost you output.
They never sleep. They never get tired, never forget, never skip a step — the ten-thousandth check is done to exactly the same standard as the first. They run critical operations in the background, all day, every day, across every site and every time zone.
Output, quality, machines, labour, materials — watched continuously in the background, not sampled once a shift.
People, materials and machines pointed at the right work at the right moment — instructions delivered to the hand that needs them.
Shift summaries, efficiency packs, quality trends, board-ready numbers — drafted, formatted and sent without a human hour spent.
Every instruction is followed up. Was the fixture fixed? Was the 8D closed? Was the PM signed off? Agents check — and keep checking.
The moment anything drifts from plan — a line, a metric, a person, a supplier — the right manager knows, with the evidence attached.
Overnight and across time zones, the factory keeps thinking. You arrive to analysis done, priorities set and problems already in motion.
Headcount you never recruit. Overheads you never carry. A workforce that never clocks off.
Most systems watch a single slice of the factory. MetisEI joins the engineering record, the live shop floor, and the machines themselves into one source of truth — and puts an agentic layer over the top of all of it.
An AI-native PLM. Every critical document connected and cross-checked — and it gets smarter with every upload.
The closed loop. Reads demand, plans production, balances labour, and holds the whole factory accountable.
The physical bridge. Cameras, gateways and sensors wire every machine directly into the system.
EDI demand lands in the plant. From that single trigger, the agents cascade — ordering material, planning the machines, flexing the lines, and balancing labour — with an agentic layer supervising it all.
Think of it as product lifecycle management rebuilt around AI. Every SIP, PFMEA, DFMEA, control plan and drawing lives as one connected web. But unlike a traditional PLM, MetisEI doesn't just store your knowledge — it learns from it. The more you upload, the more capable it becomes.
New programme? MetisEI drafts the PFMEA, DFMEA and control plan from your own validated engineering history — you start from substance, not a blank page.
PFMEAs, control plans and KC lists checked against each other simultaneously against automotive quality logic. Gaps found before the auditor does.
Raise a design change or customer update and MetisEI identifies and routes every downstream document that needs updating — automatically.
Full 8D and ECR workflow inside one conversation. Root cause assessed for quality, and the lesson embedded permanently at closure.
IATF 16949 audit packages assembled on demand, every requirement mapped to its clause, non-conformances tracked from finding to closure.
Every correction, every closed 8D, every decision makes it sharper. The system you use in twelve months is fundamentally more capable than today's.
A dimensional control changes on a finished-good SIP. MetisEI cross-links it to the PFMEA, control plan and process flow, routes the update through the quality workflow, and pushes the new check straight to operators and auditors on the floor.
Start a new programme and MetisEI reaches into everything it has learned from your past products — failure modes you've seen, controls that worked, lessons hard-won — and drafts the DFMEA, PFMEA and control plan for the new part before the launch team even meets.
Every document uploaded, every correction an engineer makes, every 8D closed is assessed and embedded permanently. Institutional knowledge that used to live in a handful of heads becomes a growing, retrievable asset that never leaves.
MetisEI is the single source of truth for your entire engineering ecosystem — from 3D CAD to PFMEAs to 8D records. Stored, versioned, and retrievable by conversation in seconds.
Tagged by programme, part number, plant and revision. The latest approved version always surfaced automatically.
No shared drives. No email threads. Just ask, in any language, and the right document appears.
Nothing reaches Approved without a named engineer's sign-off. Complete audit trail — who approved what, when, at which revision. Old versions retained, never deleted. IATF-compliant document control out of the box.
From launch to PPAP, MetisEI tracks every milestone, document approval and gate requirement — so you always know what's done, what's outstanding, and what's at risk. Just ask "where are we on Gate 3."
Your complete IATF 16949 quality system held centrally, standardised to the latest specification, and live in every plant — with AI that walks your team through audits before the auditor arrives.
Quality manual, procedures and work instructions in one place, on the latest IATF spec. No plant working to an outdated local copy.
An operator in Shanghai reads the work instruction in Mandarin; an auditor in Monterrey reviews the manual in Spanish. Same content, same standard.
MetisEI walks your team through audits clause by clause — surfacing the evidence required and flagging gaps before the audit begins.
LPA scheduling, question sets aligned to your control plans, results captured on the floor, non-conformances raised as 8Ds automatically.
Demand arrives; MetisEI decides which line version to run to hold utilisation high and stock controlled — then closes the loop back through the skills matrix to HR, and out through cost-of-quality to management.
Agents watch the 8-week schedule off EDI and Business Central, spot the swings, and warn customers on lead time and cost before it bites.
MetisEI picks the right setup from your four line versions and raises works orders into the mould shop — same tool, same machine, same material.
Assembly, moulding and spray run to the plan with utilisation held high and stock controlled — every centre on the same intelligence.
Cameras say what's happening, MES scans say how many, quality says how good — triangulated live against SPC limits.
The nerve system messages the exact person who needs to act — dry the material, swap the fixture, get quality to line 12 — in seconds.
Labour rebalanced through the skills matrix and held to ±6%, results reported with the bonus league — and the plan corrected for the next cycle.
AI cameras say what's happening, the MES barcode scan says how many, and the quality operator's phone says how good. Three signals, one honest number for every line.
The system doesn't just watch. It talks. MetisEI runs every conversation the factory needs over WhatsApp — reaching the right person, at the right second, with the right instruction. Nobody waits to be found. Nothing falls between shifts.
Because MetisEI already knows the demand, the schedule, the skills matrix and the live state of every line, it knows who needs to hear what — and it just tells them. No radio calls, no chasing a supervisor, no problem sitting unseen until someone walks past.
MetisEI hardware bridges the physical plant to the platform — dry-contact signals off the moulding machines, AI camera feeds, and MES scanners, all flowing through gateways to Azure and into the Metis data layer.
All that data flowing off the factory doesn't just drive today's output — it builds the maintenance and calibration backbone of the plant. Every tool, fixture and quality asset lives on a live register, and AI agents make sure what should happen, happens. Reliably. On time. Every time.
Shot counts stream straight off the presses, so preventive maintenance is triggered by real usage — not a guess on a wall planner. Maintenance logs write themselves, and agents chase the work until it's signed off.
Every error-proofing device is challenged daily with Red Rabbit checks — known-bad parts that must be rejected. Results are captured as data, not ticks on paper. A poka-yoke that would pass a bad part never gets the chance.
Gauges, CMMs, torque tools — every quality asset sits on a calibration register owned by an agent. Due dates are tracked, bookings made, overdue items escalated. Nothing measures anything it isn't certified to measure.
Behind every row sits a customised maintenance sheet — the tasks, intervals, spares and standards specific to that tool or fixture, not a generic checklist. Maintenance plans run on the asset registers themselves, completed on mobile at the machine, and AI agents handle and monitor the whole cycle: scheduling the work, issuing the sheet, checking it was done properly, logging the history, and escalating the moment anything slips.
Every measurement, every inspection result, every reject flows into the platform — and AI agents run statistical process control on all of it, continuously, in the background. Control rules, trends, drift, capability. The full analysis a quality engineer would do if they had infinite hours.
They say nothing until something is statistically real. Then the right quality engineer gets an immediate notification on Teams or WhatsApp — chart attached, rule violated, line and characteristic named — while there's still time to act before a single bad part ships.
Engineers stop staring at charts. The charts stare back — and speak only when it matters.
The factories that win aren't the ones with the most automation — they're the ones where every person knows exactly what's happening, can see themselves getting better, and owns their result. MetisEI is built on that belief.
Perfect real-time information, in every pair of hands. The operator, the line leader, the material handler, the quality auditor — each sees exactly what they need, the moment they need it, on the device in their pocket. Nobody guesses. Nobody waits to be told. The best decision becomes the easiest one to make.
Every trend tracked, every gain visible. Efficiency, right-first-time, scrap and cost of quality trended by line, by team, by person — so improvement isn't a feeling, it's a curve you can watch rise. Daily coaching nudges, a bonus league, and small wins celebrated. Progress people can see is progress people fight for.
Every critical function, owned and measured. The resource map holds every key person to their function, feeds them what they need to perform, and measures how well they actually do it — with gaps surfaced straight to general management. Nobody can quietly underperform, and nobody's good work goes unseen.
And it's an AI engineers trust. MetisEI never simply agrees. Every correction is assessed before it's accepted — if an engineer insists something is right and it isn't, MetisEI holds its position, with reasoning. In a safety-adjacent environment, that isn't a feature. It's a requirement.
Because the data is structured and connected, a voice layer sits on top. No dashboard to interrogate — just a conversation with a living factory.
From the engineer authoring a DFMEA to the director accountable for the whole plant — MetisEI meets each person where they work.
MetisEI was not proven on synthetic data or a demo line. It was built and hardened inside CT Automotive — a Tier 1 interior-trim manufacturer supplying the world's most demanding OEMs — on the real documents and live production that go through PPAP and in front of IATF auditors.
A high-mix interior-trim plant running injection moulding, spray, sewing and kinetic assembly against fluctuating automotive demand — with utilisation, scrap, labour balance and quality all managed in spreadsheets and heads. Problems surfaced only after they'd already cost a shift.
Engineering documents drifted out of sync across sites. Line-down events waited on someone walking past. Nobody had one honest, live picture of the factory.
"We didn't set out to build a product. We set out to run our own factory better — and ended up with a system we'd put in front of any Tier 1 in the world."
A radical transformation, told in ten minutes — how a classic factory running on paper and instinct became one of the most sophisticated AI-managed manufacturing operations anywhere, powered end to end by MetisEI and its agentic AI workforce.
Our own highly experienced AI engineers drive the entire transformation — from connecting the first machine to a fully autonomous, self-reporting plant. We're not theorising about how this might work.
Lines, machines and Business Central wired in. The true picture of the plant, captured for the first time.
Engineering documents uploaded, linked and cross-checked. The knowledge base starts learning your factory.
Production monitoring and the WhatsApp nerve system go live, directing people in real time.
Demand-driven planning flexes the lines and balances labour automatically, reporting to HR.
Vision, MES and quality triangulated. Cost of quality visible live, per line.
Voice interface on. The full agent estate running. A factory you can talk to and trust.
No new systems to learn. No dashboards. No forms. Just ask MetisEI what you need — it already knows your factory.
Drag in your documents and wire in your lines and machines. MetisEI reads, extracts and embeds — and understands your whole ecosystem.
Your engineering rules, programme history and quality decisions embedded. It knows which failure modes have appeared before, and your team's way of working.
Type or speak. Generate a draft, check consistency, find a document, route an approval, direct the floor — in any language, on any device.
Every correction assessed and embedded permanently. In twelve months it knows your patterns at a depth that takes a new engineer years. It never forgets.
Built to clear Tier 1 and OEM procurement security from day one — the questionnaire your customers send is already answered.
2FA mandatory for every user — no access without a verified second factor.
Administrator, Quality, Design, Viewer. Each role sees only their programmes.
Azure AD, Okta, Google Workspace. Company credentials, no separate password.
Every login, view and download logged with user, time and IP.
TLS 1.3 in transit, AES-256 at rest. Documents, data and conversations.
Stored in your region — UK, EU or US. Never moved without written consent.
Every customer isolated. No shared databases, no cross-customer exposure.
Regular third-party testing to OWASP standards, findings remediated to SLA.
Information security certification required by many OEM procurement teams.
Full compliance. DPAs available. Erasure, portability and breach notification.
Independent audit of security, availability and confidentiality within 12 months.
Built to VW Group, Ford and Stellantis supplier codes. Pre-assessment on request.
Book a demonstration and see MetisEI run on your own factory — your documents, your lines, your machines.