# Intransic

> Trust infrastructure for AI-built software — every compliance and security claim traces to executable evidence before it ships

- URL: https://envisageapps.com.au/blog/portfolio-item/intransic/
- Type: caseStudy
- Published: 2026-08-17

### 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](/launch-gate-audit/) makes, turned into a product: a claim is worth what its evidence is worth. More in the [portfolio](/case-studies-app-development/).

### Want to Build Trustworthy AI Software?

Work with a team that treats security and compliance as engineering, not paperwork.