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Manufacturing

Every line should know which AI is running it.

Vision inspection, robot cells and quality checks now run on AI models that change with every update. A plant has to know which model is on which line, and that it is the one quality signed off.

Industrial machinery on a factory floor.
What is at stake

When the AI is not the AI that was approved.

01

A defect waved through

An inspection model that drifted, or was swapped, passes parts it was approved to reject.

02

One update, many lines

A model pushed to every plant at once spreads any mistake at the same speed.

03

The recall question

When something ships wrong, the first question is which model made the call, and nobody can say.

The path of one model

Trust has to survive every handoff.

  1. Vendor or data teamA model is trained for a line.
  2. Quality sign-offQuality approves that exact model.
  3. Line rolloutIt ships to cells across plants.
  4. On the lineEach cell runs a model, every shift.
  5. AuditEvery cell shows which model it ran.
How Vraelis fits

Approve. Deploy. Verify.

  1. 01 · Approve

    Quality locks the exact model it signed off.

    Vraelis Prompto

  2. 02 · Deploy

    Each approval is bound to the lines and plants it covers.

    Vraelis Contour

  3. 03 · Verify

    Every cell shows the model it is running, side by side with the approval.

    Vraelis Contour

Build trusted AI for the physical world.

Join us in building Vraelis.