Frontier-grade security models. Yours.
Raven-1 is RavenSec's family of first-party security models — built to find vulnerabilities, write fixes and tests, and reason about threats. Every approval and rejection makes them sharper, and every fix is verified before it reaches you.
The data flywheel
RavenSec is not a permanent wrapper around someone else’s API. Every human decision is training data — so the models you run get better, cheaper, and more yours over time.
- 1An agent proposes a fix
- 2A human approves or rejects it
- 3The decision is labelled into the corpus
- 4Models train on your verified data
- 5They’re evaluated and gated
- 6Only a winner is promoted to serve
Verified, not just generated
A model is only as useful as it is correct. Every Raven-1 output passes a hard validation gate before a human ever sees it — and a model only ships when it wins on the security benchmarks.
- Every fix must compile
- Its generated tests must pass
- A re-scan must confirm the flaw is gone
- A human approves before any PR opens
GPU-accelerated, end to end.
Raven-1 trains and serves on a modern, GPU-accelerated stack — QLoRA + DPO with FP8 mixed precision on enterprise GPUs, served through an optimized inference engine and packaged as a portable microservice. The pipeline is built and functional today, ready to train the moment GPUs are provisioned.
Meet Raven-1.
Explore the models and the human-in-the-loop flywheel inside the platform.
Open the platform