AI-Powered Software Delivery. Specs ship with acceptance tests.
Every feature begins as a spec with its acceptance tests written first. AI builds to that standard, tests confirm it, and a human approves the release, making delivery a governed pipeline end to end.
DELIVERY · AI BUILDS, HUMANS GATEWhat this engagement is
Our delivery platform treats software the way the Company Brain treats decisions: nothing moves forward without evidence. Every feature begins as a versioned specification with acceptance criteria attached, code is generated and reviewed against it, and every release requires a approval. The result is speed you can verify: a working product in as little as two weeks, with the full traceability regulated industries require.
AI does the volume, drafting specifications, generating code, writing and running tests, assembling release notes. Your people do the judgment: every approval, from specification to release, is signed by a named person looking at the actual change in front of them.
The numbers behind it
What ships
Spec-driven development
PRD → gated specs → derived stories; nothing builds without an approved spec.
Agentic build
Code generated against specs on our production platform, humans reviewing every PR.
Acceptance-test contracts
Every spec ships with executable acceptance tests, so done means proven.
Signed releases
Go/no-go gates with runbooks, evidence packs and named approvers.
2-Week Prompt-to-MVP
The fast lane: from a one-page intent to a working, gated MVP in two weeks.
Full traceability
Spec → code → test → release, linked end-to-end in the graph.
How the engagement runs
Six phases from acceptance-test-first specs to releases that compound.
Proof from production
Specs on Monday, gated releases by Friday
“Acceptance-test-first specs let AI build while humans gate, holding a weekly release cadence for months, with regressions caught by the tests before users ever saw them.”
Questions teams ask
Is AI-written production code safe?
The gate is the answer, not trust in the model. Acceptance tests define done before code exists; humans review the diffs and the decisions; nothing merges ungated. Safety is the process.
Where does the speed actually come from?
AI does the volume, covering scaffolding, tests, migrations and boilerplate, while people spend their time on judgment. We're measured on outcomes shipped, not hours logged.
Who owns the code?
You do, from the first commit. Repositories live in your organisation; specs, tests and decision records are part of the deliverable.
What stacks do you cover?
Web, mobile, data and agent stacks, with code intelligence spanning 13 languages. The spec-and-gate model is the constant; the stack is whatever your estate needs.
Pick your function. Own the intelligence behind it.
Discover one opportunity, engineer one capability and deliver one measurable outcome, then scale.