Manufacturing

Put decades of engineering knowledge to work, inside your own walls.

Manufacturers hold their advantage in drawings, test data and the judgement of senior engineers. SuperBrains puts that knowledge to work in AI that runs inside your network, and protects design IP along the way.

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Challenges

  • Engineering judgement retires with senior staff.
  • Drawings and specifications are spread across CAD, PLM and file shares.
  • Design IP and export-controlled data cannot leave the site.
  • Plant networks have no internet route.

Available

  • Engineering and R&D knowledge assistants.
  • Drawing automation from reference designs.
  • Design calculations run as code.
  • Quality, maintenance and troubleshooting agents from the catalogue.

Typical Work

  • “Which past designs used this material at this temperature?”
  • “Generate the drawing set for this refurbished part from the closest reference design.”
  • “Run the thermal calculation for this revision and show the inputs.”

Deployment

  • On-premises or air-gapped, next to your engineering systems, with open-weight models on your hardware.

Rules We Map

  • Protection of design IP, export control where it applies, data localisation and plant network security.

Case Study

Manufacturing

Scaling to production

R&D and process engineering

Challenge
Decades of engineering judgement sat in drawings, test data and the experience of senior engineers.
What was built
An engineering knowledge layer and agents that give R&D teams access to prior designs, test data and process knowledge, running inside the client's own environment.
Result to date
[client-approved result]

Client names are available under NDA.

Next Step

Start with a discovery session.

Book a Discovery Session