Built for regulated operations.
Novaquant Intelligence Systems is designed around regulated environments where AI-assisted workflows need review, oversight, and clear operational evidence.
Regulatory areas we track
This list is not a claim of certification, approval, or rule-by-rule coverage. It shows the supervisory environments we monitor while shaping the product.
Trust principles
Evidence should be structural.
Governed AI workflows should produce useful evidence as part of normal operation, rather than depending only on after-the-fact policy documents or manual reconstruction.
Deployment control matters.
Regulated teams need a clear answer for where systems run, where data moves, and who controls operational records. Those requirements guide the architecture.
Reviewability is a product requirement.
Consequential AI-assisted workflows should preserve enough context for a qualified reviewer to understand what happened, why it happened, and who approved it.
Evidence should remain usable.
Operational records should be exportable and understandable outside a single vendor interface. Portability is part of the trust model we are designing toward.
Specific regulator or procurement questions? Send them to us and we will route them to the right person.