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Intelligence for engineers who build the real world.

seib is building an Industrial Foundation Model (IFM) for industrial engineering and Physical AI. seib Cowork puts it on your teams’ desks, as a coworker that asks before it changes anything.

Model
seib IFM in training
Coworker
seib Cowork pilots open
Scope
Product intent to physical action

Engineering is complex. Change is constant. Time is critical.

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.

  1. 1

    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.

  2. 2

    Change outpaces 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.

  3. 3

    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.

  4. 4

    Delay is expensive

    NPI and line changes take too long and hit business performance directly. Every week of ramp-up is a week the line is not producing what it was built to produce.

One model across the full engineering lifecycle.

seib IFM is being built to connect product intent to physical outcomes, with every draft clearing a real toolchain of its own before it becomes something you review.

  1. 1

    Product intent

    Requirements, CAD, BOM, variants and tolerances, to be read as structure rather than as documents to search.

  2. 2

    Process design

    Workflows, operations, quality checks and cycle-time targets, derived from what the product actually is.

  3. 3

    Automation engineering

    PLC, robot, vision and tooling code, produced in the target language and simulated before anything is released.

  4. 4

    Factory context

    Machines, cells, constraints and real-time data: the plant as it is today, not as the drawing says.

  5. 5

    Physical action

    Commission, operate, adapt and improve, with every change held for a person to approve.

The training approach, modalities and safety posture are on the model 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.

The modelGenericA general-purpose LLM pointed at your documentation.seibPurpose-trained on verified industrial engineering work.
ScopeGenericOne task at one step, disconnected from everything around it.seibOne intelligence from product intent through to physical action.
VerificationGenericTrusts its first answer. You find the error in commissioning.seibBuilt so every draft clears a real toolchain before you see it.
DeploymentGenericCloud-hosted, with local as an afterthought — if offered at all.seibDesigned from day one to run inside your own network, on your hardware.
What it knowsGenericYour manuals and support tickets, retrieved on request.seibYour CAD, your cells, your constraints, your own plant's conventions.

An AI coworker for your engineers, and for everyone they work with.

Built first for engineering and open to the whole organisation, seib Cowork plans the task, reads the documents, queries plant and business systems, and delivers finished work. It shows every change exactly and waits for a person to approve it.

How a task runs.

  1. 1

    Ask

    Pick the project folder and write the task in plain words. Knowledge bases and connected systems are already there.

  2. 2

    Plan

    Cowork shows its plan first, and asks a clarifying question with ready-made choices when the task is unclear.

  3. 3

    Read

    Documents, spreadsheets, mail, PLC exports and the company's own manuals and procedures. Every file read and query appears as it happens.

  4. 4

    Approve

    The edit, the SQL statement, the mail, the command: shown exactly, as a diff. Allow it, edit it first, or refuse it.

  5. 5

    Deliver

    Finished work opens in a preview: reports, spreadsheets, review comments, drafted replies. Answers cite the document and page.

  6. 6

    Undo

    Every file is copied before it changes, so any edit can be undone, one at a time or all at once.

seib Cowork: A question before it starts

Reads run directly. Writes always ask.

Databases
Microsoft SQL Server, PostgreSQL, MySQL and MariaDB, SQLite
Plant data
OPC UA (browse, read, history), MQTT and Sparkplug B, AVEVA PI, InfluxDB
Business systems
SAP (OData), Jira, Azure DevOps, ServiceNow, any REST API with OpenAPI, GraphQL, MCP servers
Documents
SharePoint and OneDrive, project folders, read-only reference folders
Mail
Exchange and any IMAP/SMTP server, Microsoft 365, Gmail. Drafts only by default
Knowledge
Your organisation's knowledge bases, searched with page-level citations

Two ways to run it.

Cloud, in the EU
seib model hosted in the EU
Nothing to install on servers. The seib model runs in the EU; project files stay on the engineer's workstation, and only what a step needs is sent, over TLS.
On-premises
Your servers, your network
For organisations that want their own internal model: the seib model, embeddings, knowledge store and policy on your hardware, with no route to the internet.
Your model, on your servers
The on-premises edition is designed so every part runs inside the company: the seib model on your GPU servers, knowledge bases on your storage, accounts and policy on your servers.
Your permissions, unchanged
Connectors are defined once, centrally, with no passwords in them. Each engineer signs in with their own account, so every system keeps its own permissions.
Your record of every step
Each task keeps a tamper-evident, hash-chained audit trail: the request, every action, and who allowed it. Export it as CSV or JSON Lines.

Mission and vision

Mission

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.

Vision

Industrial systems that understand and adapt themselves.

Systems that can reason, learn and evolve like the best engineers. One layer of intelligence the plant can think with, rather than a dozen tools it has to be translated between.

Built for the industries that build the world: automotive, electronics, industrial equipment, consumer products, aerospace & defense and energy.

A simple question needs no form.

One line is enough: a technical detail, a procurement question, or where the model is. It reaches a person who can answer it, not a support queue.

Request pilot access.

Not a waitlist. Tell us the problem and we’ll tell you honestly whether seib is ready for it.

  1. 1A person reads your request and replies within a few business days.
  2. 2A short call about the line, the toolchain and what's slow today.
  3. 3A Cowork pilot starts with one team, read-only connectors and two or three knowledge bases.
Pilot request, confidential0 of 5 complete
Interested in