Intelligence that
never sees the cloud

Models that understand the design, not just the file in front of them.

Chapter - 03 ]
The guarantee

No third-party frontier model ever sees your design. The models that touch IP are ours, and they run on your hardware.

IP-sensitive teams will not send RTL to a cloud service, whatever the model behind it. That is not a preference we accommodate - it is the precondition the whole architecture was built around.

Frontier models are used where they are safe to use: at the interface, for natural-language intent and explanation. They never receive the design. Everything that reads your RTL, constraints, power intent or netlists is proprietary and local.

01

Models per tool, not one for all

Each engine has a model trained on its own domain and its own deterministic feedback, so the advice is specific rather than generic.

02

Frontier models at the surface only

The CLI uses frontier models for natural-language intent and explanation. Routing, redaction and egress stay under our control.

03

Advisory is never signoff

AI output is architecturally separated from deterministic results. It is labelled, it is auditable, and it never enters a CI gate by default.

Why it works

An assistant bolted onto a text editor sees one file at a time

Ours sits on top of 50 tools that already produce structured, machine-readable context about the design - netlists, clock domains, constraints, power intent, timing outcomes. The models act on that context rather than on raw text.

Every deterministic run is training signal.

Because the suite is ours end to end, every run produces a labelled, reproducible outcome the models can learn from. A wrapper over someone else’s software never gets that.

Status

What is live, and what is not

Now

The deterministic suite

All nine engines, built and functional. The design-partner beta ships deterministic only, with no AI in the initial release.

In build

The ML layer

The models and the shared context they run on, across the suite. This is the layer currently being built.

We would rather ship a deterministic tool an engineer can trust than an AI feature they have to check. The order is deliberate.