Intelligence for engineers who build the real world.
SEIB is a foundation model for industrial engineering and Physical AI. It gives engineers the intelligence and the tools to design, automate, validate and improve complex industrial systems — faster. It runs on your network, including fully air-gapped.
- 01Model class
- Industrial foundation model
- Continued pretraining on a verified engineering corpus
- 02Lifecycle span
- Intent → physical action
- Product, process, automation, factory, floor
- 03Engineering inputs
- Requirements · CAD · BOM
- Variants and tolerances read as structure, not text
- 04Automation output
- PLC · robot · vision · tooling
- Generation, conversion, and simulation
- 05Verification
- Toolchain-gated
- Checked against real compilers and runtimes first
- 06Factory context
- Machines · cells · live data
- Constraints and real-time signals over OPC UA
- 07Network
- Cloud · on-prem · air-gapped
- No dependency on the control network
- 08Safety posture
- Proposes · never deploys
- Hard-blocked from safety-related program units
You solve the hard problems · SEIB gives you the clarity, context and intelligence to move forward with confidence · no public API or price list yet.
Engineering is complex.
Change is constant.
Time is critical.
Industrial engineering is fragmented and heavily dependent on scarce expert knowledge. In high-mix, NPI-driven factories, products, variants, processes and equipment change constantly — but engineering and commissioning stay too manual and too slow to keep pace.
Too many systems
Data and tools are siloed across the engineering stack. Requirements, CAD, process plans and controls each live in their own format, and the work of reconciling them falls to people.
Change happens faster than engineering
New products, variants and processes emerge constantly. Engineering and commissioning stay manual, so the factory is always catching up to a product that has already moved on.
Too dependent on scarce expertise
Critical knowledge lives in people's heads. That creates risk when they are unavailable and a bottleneck whenever more than one line needs them at once.
The cost of delay is too high
NPI and line changes take too long and impact business performance directly. Every week of ramp-up is a week the line is not producing what it was built to produce.
One foundation intelligence across the full engineering lifecycle.
SEIB connects product intent to physical outcomes — understanding, reasoning and generating what engineers need at every step. Every draft clears a real toolchain on its own before it becomes something you review.
- 01
Product intent
Requirements, CAD, BOM, variants and tolerances — read as structure, not as documents to search.
- 02
Process design
Workflows, operations, quality checks and cycle-time targets, derived from what the product actually is.
- 03
Automation engineering
PLC, robot, vision and tooling code, generated in the target language and simulated before release.
- 04
Factory context
Machines, cells, constraints and real-time data — the plant as it is today, not as the drawing says.
- 05
Physical action
Commission, operate, adapt and improve — with every change held for a human to approve.
A person approves every change. Approved changes go through your own CI to the machine. SEIB is hard-blocked from writing to safety-related program units, and from deploying anything itself.
“Add a 5-second startup delay and an E-stop interlock to the mixer motor on Line 3.”
IF NOT E_Stop AND StartCmd THEN StartTimer(IN := TRUE, PT := T#5s); IF StartTimer.Q THEN MotorRun := TRUE; END_IF; ELSE StartTimer(IN := FALSE); MotorRun := FALSE; END_IF;
A model, not a wrapper around one.
Most industrial copilots are a chat window in front of a general-purpose model. SEIB is trained on the thing it's supposed to be good at.
Nothing here touches your plant on its own.
The question every plant asks first, answered before you have to ask it.
Your data stays on your site
SEIB runs on your network — cloud, on-prem, or fully air-gapped. Engineering project files never have to leave the building for the model to read them.
A human commits every change
SEIB proposes a reviewable diff. It never writes to a live machine and is hard-blocked from safety-related program units, regardless of deployment mode.
Built for zone-and-conduit thinking
Architected in alignment with IEC 61508 lifecycle practice and IEC 62443 network segmentation — designed to sit cleanly inside an OT security model your team already runs.
SEIB is pre-certification. “Aligned with” and “architected for” describe design intent, not a claim of formal certification against IEC 61508 or IEC 62443 by an accredited body.
Foundation intelligence for industrial engineering
Foundation intelligence for industrial engineering.
SEIB helps manufacturers understand what needs to change in the factory when the product changes — across engineering, commissioning, and the Physical AI that runs on the floor.
Factories that understand what to build, and how to adapt themselves.
Industrial systems that can reason, learn and evolve — just like the best engineers. One layer of intelligence the plant can think with, rather than a dozen tools it has to be translated between.
- Automotive
- Electronics
- Industrial Equipment
- Consumer Products
- Aerospace & Defense
- Energy
Questions we get before the first call.
The short answers. If yours isn't here, the pilot form below reaches a person.
01What is SEIB?
SEIB is a foundation model for industrial engineering and Physical AI. It gives engineers the intelligence and tools to design, automate, validate and improve complex industrial systems. SEIB is a model trained on industrial engineering work, not a chat window in front of a general-purpose model.
02What does SEIB cover across the engineering lifecycle?
SEIB spans five connected stages: product intent (requirements, CAD, BOM, variants, tolerances), process design (workflows, operations, quality, cycle-time targets), automation engineering (control, robot, vision, tooling, simulation), factory context (machines, cells, constraints, real-time data), and physical action (commission, operate, adapt, improve).
03What kind of engineering work can SEIB generate?
SEIB generates and converts automation artefacts, including control code in the IEC 61131-3 languages, robot and vision routines, and tooling and simulation configuration. Each output is produced in the target format of the toolchain the plant already runs.
04Can SEIB run air-gapped or on-premises?
Yes. SEIB deploys cloud, on-premises, or fully air-gapped, and was built for air-gapped operation from day one rather than as an afterthought. SEIB has no dependency on the control network, so engineering project files never have to leave the building for the model to read them.
05Does SEIB write directly to machines on the factory floor?
No. SEIB proposes a change as a reviewable diff and a person approves it. Approved changes go through the customer's own CI to the machine. SEIB is hard-blocked from writing to safety-related program units and from deploying anything itself, in every deployment mode.
06How is SEIB different from ChatGPT or a generic coding copilot?
Industrial engineering formats are low-resource for general-purpose models, so those models produce output that reads correctly and fails against a real toolchain. SEIB is trained on verified industrial engineering data and reinforced against real compilers, runtimes and simulators, and every draft clears that toolchain before an engineer sees it.
07Which toolchains and protocols does SEIB work with?
SEIB sits beside the engineering tools a plant already runs rather than replacing them, across CAD, process planning and controls environments. SEIB performs protocol-aware reasoning and tag resolution over OPC UA and Modbus to read live factory context.
08Which industries is SEIB built for?
SEIB is built for industries that build the world: automotive, electronics, industrial equipment, consumer products, aerospace and defense, and energy. The common thread is high-mix production where products, variants and processes change faster than engineering can keep up.
09How do I get access to SEIB?
SEIB is in a pre-launch, pilot-partner phase, with no public API or price list yet. Request pilot access through the form on seib.ai or email hello@seib.ai. It is not a waitlist — every request is read by a person.
Let’s build the future together.
Not a waitlist. Tell us the problem and we'll tell you honestly whether SEIB is ready for it.