Work

Outcomes, not hours logged.

A sample of what embedded, AI-native engineering delivers, and how an engagement runs from first call to shipped.

Selected outcomes
6 weeks

Payments rewrite, shipped

A two-engineer pod replaced a brittle billing service and shipped it to production in six weeks, with full test coverage.

Embedded Engineering
3× throughput

Roadmap unblocked

An embedded lead tripled a Series A team's merge rate by introducing agentic workflows and an eval harness.

AI Enablement
12 days

AI copilot, in product

A retrieval-backed copilot went from idea to a shipped beta in under two weeks, evals and guardrails included.

AI Product Engineering

Representative outcomes shown. Client names and references available under NDA.

How an engagement runs

From first call to shipped, in weeks.

01

Scope

A short call and a velocity audit. We map the roadmap and where senior, AI-native engineers move the needle fastest.

02

Embed

Engineers join your stack, standups, and board within days. No ramp tax, no hand-off layers.

03

Ship

Work lands every week behind your review gates, with tests and evals holding quality at the bar.

04

Iterate

We flex capacity up or down monthly as priorities move. You stay in control, the meter stays predictable.

We are paid to make you fast, not to bill time.

The Velocent principle

Hourly billing quietly rewards slowness. The faster we work, the less we earn, so the incentive points the wrong way.

A retainer flips it. You buy outcomes and capacity, not a timesheet, so every tool, every shortcut, every bit of AI leverage we add works in your favour. We win when you ship.

Book a call

Thirty minutes to scope your roadmap and a first month of velocity.

Scope a sprint

Fixed scope, fixed price, a guaranteed deliverable in weeks.