Work with us

From one problem to production

We start small, on one problem that matters to you. You see the gain before you commit resources, and your engineers stay involved at every step.

  1. 1

    Pre-assessment

    We find your highest-impact bottleneck and the gain you can expect, before you commit resources.

  2. 2

    Technical deep dive

    We review your workflows, tools and data together with your engineers.

  3. 3

    Proof of concept

    We train a model on your data and validate it against agreed success criteria.

  4. 4

    Deployment

    Your teams evaluate new designs directly in the platform, in the cloud or on premise.

  5. 5

    Scaling

    The model improves with new data and extends to more products, teams and physics.

Questions engineering teams ask us

Something else? Talk to us

Do you use our data to train models for other customers?

No. Your data trains only your models, and it is never combined with data from other customers.

How much data do we need to start?

Much less than you might expect. Our lightweight approach removes the data burden: the governing physics is built into the model, so you can start from the data you already have. The pre-assessment confirms it for your application.

Does Fainite replace our solver?

No. Fainite speeds up exploration and early decisions. Your validated solver stays the reference for final verification.

Can it run on our own infrastructure?

Yes. Fainite runs in a secure cloud environment or on premise, depending on your requirements.

Find out what your engineering data could do

Share one engineering challenge with us. We will show you where Physics AI saves the most time.