We build the whole thing ourselves
Most AI consultancies integrate someone else’s platform. When you ask them where your data sits, or who is accountable when the system does something it shouldn’t, the answer has to travel through a vendor.
We built the data pipeline, the approval and audit layer, and the deployment tooling. Nothing in the stack is a black box we resell, which is why we can answer those questions in the first meeting.
Who you would be working with
Two founders, and no delivery team behind us that you have not met. When we say senior people do the work, this is who we mean.
James Storrier
Twenty years building infrastructure, and the founder of Aquient, which he sold in 2023. He has spent most of that time on the unglamorous half of the work: the pipelines, the access models and the logs that decide whether a system can be trusted with anything that matters.
James Coffey
How we work
Four commitments. They’re the reason clients pick us over a larger firm, and occasionally the reason we don’t win the work.
We'll tell you not to do it
If the audit shows the data isn't there, or the workflow doesn't justify the spend, that's what the report says. You've paid for an answer, not for encouragement, and a fixed-fee audit that sometimes ends in “not yet” is the only version of this that's honest.
Fixed prices, quoted before we start
The audit is A$12,000. The build is quoted as a number, not a rate card, and the scope is written down. The price is fixed against the scope in the audit, and a change to that scope is re-quoted rather than absorbed. That is a strong incentive for us to scope it properly the first time.
Senior people do the work
The person who scopes your project builds it. We're deliberately small and we take on a limited number of engagements at a time, so there's no handover to a delivery team you haven't met.
You keep the asset
Your prepared corpus, your configuration and your audit log are yours. If you leave us, they go with you. We'd rather earn the renewal than rely on the cost of exit.
Where we work
Australia and Singapore, with engagements across the region. Both are markets where professional firms carry hard confidentiality obligations and where data residency is a real constraint rather than a preference, which is precisely the problem we’re built for.
Australian work is quoted in A$, Singapore in S$ at equivalent scope. The deployment region is scoped in the audit and named in your contract before you commit to anything.
Why we started
Because two things were happening at once in every professional firm we talked to. Staff were quietly pasting confidential material into public AI tools to get through the day. And the vendors selling them “AI features” couldn’t say where the data went or prove what the system had done.
Both problems have the same solution: something private, grounded in the firm’s own knowledge, that keeps a record. Nobody was building that for firms this size. So we did.