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.
- 01Model class
- Industrial foundation model
- Purpose-trained on verified industrial engineering work
- 02Lifecycle span
- Intent → physical action
- Product, process, automation, factory, floor
- 03Engineering inputs
- Requirements · CAD · BOM
- Target scope: variants and tolerances read as structure, not text
- 04Automation output
- PLC · robot · vision · tooling
- Target scope: generation, conversion, and simulation
- 05Verification
- Toolchain-gated by design
- Built to clear real compilers and runtimes before an engineer sees a draft
- 06Safety posture
- Proposes · never deploys
- A design commitment: no writes to 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 is being built to connect product intent to physical outcomes — understanding, reasoning and generating what engineers need at every step, with every draft clearing a real toolchain of its own before it becomes something you review.
- 01
Product intent
Requirements, CAD, BOM, variants and tolerances — to be 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, produced in the target language and simulated before anything is released.
- 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.
The model, the training approach and the safety posture are set out on the Products page.
A model, not a wrapper around one.
Most industrial copilots are a chat window in front of a general-purpose model. SEIB is being trained on the thing it's supposed to be good at.
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.
Make industrial systems capable of understanding and adapting 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
No form for a simple question.
One line is enough. Whether it’s a technical detail, a procurement question or just curiosity about where the model is, it reaches a person who can answer it — not a support queue.
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.