We build strategic migration roadmaps and fine-tune open-weight models using intensive cloud compute to audit your implementation flaws. Flexible deployment: entirely air-gapped on-prem or natively within your existing cloud perimeter.
Every organization running RSA, ECC, or other soon-to-be-broken cryptography needs a thorough audit before migrating to NIST-standardized post-quantum algorithms. But sending proprietary source code to generic third-party AI models is a non-starter.
Models fine-tuned specifically to understand cryptographic implementation and logic flaws, providing accuracy that traditional static-analysis keyword scanners simply cannot match.
Whether you need our models packaged into hardened Docker containers for your air-gapped VPC, or deployed directly into your existing cloud environments—your code never leaves your custody.
We assess your current cryptographic footprint and build a phased roadmap to post-quantum standards — sequenced so production systems keep running while you migrate.
Using dedicated cloud simulation environments, we test custom migration paths before anything touches your production network.
We leverage continuous cloud compute to fine-tune open-weight foundation models. As the open-source AI landscape rapidly moves, our pipeline ensures we utilize optimal models to identify flaws in new post-quantum deployments.
Our models scan your codebase for legacy algorithms and cryptographic API misuse — the same class of bugs static-analysis tools catch, plus the context-dependent cases they miss.
We simulate your specific migration path against a benchmarked set of known cryptographic vulnerabilities in our isolated cloud environments, proving the strategy works.
New post-quantum implementations get the same scrutiny as the legacy code they replace — because a rushed migration can introduce vulnerabilities of its own.
We do the heavy lifting of continuous GPU fine-tuning on our servers. The resulting optimized models are then packaged and deployed directly into your own infrastructure—be it on-premise or your existing cloud instances.