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 massive cloud-hosted simulation environments, we test custom migration paths before anything touches your production network.
We continuously leverage heavy cloud GPU compute to fine-tune open-weight foundation models. As the open-source AI landscape rapidly moves, our training pipeline ensures we are always utilizing the most advanced 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.