Your data and IP stay yours
Commercial AI APIs are the right default — until data privacy, unit economics, or air-gap requirements say otherwise. We build and operate the alternative.
01How it works
Where your data lives, and who owns the result
On your hardware, or in your cloud
We deploy models like Llama and Gemma on your own hardware, fully air-gapped, and help you build generative AI applications on top. The right choice when your data cannot leave the building.
- Azure
- AWS
- Google Cloud
- Modal
- RunPod
Geometry, BOMs and field data stay with you
Runs on your infrastructure, so your geometry, BOMs, and field data stay in your environment. IP ownership of what the pipeline produces is yours, written into the engagement.
The source and the know-how are yours
We design and build the production system on your infrastructure, validated against your solvers and data, with the source code, documentation, and knowledge transfer so your team can own it.
Deliverable: a production-grade system, full source and docs, and your team trained to run it.
Through your tools' own interfaces
Read context. Pull in the material an agent needs to plan and decide — geometry and model files, simulation setups, past runs, mesh quality reports, test data. Execute actions. Drive the tool itself through its scripting and API layer — running cleanup operations, generating meshes, configuring solvers, launching runs.
No vendor to protect
We don't resell software, so our only incentive is what works on your stack. We sit over your existing stack instead of asking you to rip it out and start again.
Security requirements differ by team. Tell us yours and we will scope the deployment around them.
Discuss your requirements