Intransic
Trust infrastructure for AI-built software — every compliance and security claim traces to executable evidence before it ships
Trust Infrastructure for AI-Built Software | In development.
The problem: AI coding tools collapse the sequence from idea to shipped software — but authentication, logging, RBAC, encryption and compliance still have to get built in, usually by assembling twenty unrelated packages after the fact.
The approach: Intransic owns the moment before the first line of AI-generated code exists. Every claim it makes about a system's security or compliance posture traces back to executable evidence — a test, an audit log, an observed behaviour — not a policy document nobody re-checks.
Building an Evidence-Backed Trust Layer
The Product
A claim-to-evidence assurance process: a repository's actual state is assessed against a Foundation, every claim in the public trust package is checked against evidence in an internal ledger, and validators fail the build the moment a claim outruns what can be proven.
Key Features
- Claim → evidence → verify → publish, evidenced end to end
- Generates a public trust layer straight from internal test and audit results
- Built to sit before the first line of AI-generated code, not after
Status
In active development. This case study will be updated as Intransic moves toward a public release.
Trust infrastructure is the same argument the Launch Gate Audit makes, turned into a product: a claim is worth what its evidence is worth. More in the portfolio.
Want to Build Trustworthy AI Software?
Work with a team that treats security and compliance as engineering, not paperwork.
