CelerIQ

We design and build applications infused with intelligence.

CelerIQ is heads-down on its first product. What we can say now: It is for teams whose best decisions still live in a few experienced heads and one carefully guarded spreadsheet, and it is built to carry more of that work without taking the judgment away from them.

Three commitments we hold to, whatever we end up shipping.

Intelligence as substrate

We start from what a system should be able to reason about, then design the application around that. Models are infrastructure here, not a feature strip added late.

Earned speed

Half the name is speed. The other half is why speed on its own is worthless here: a wrong number delivered quickly is just a faster way to lose money.

Evidence over demos

Everything gets measured against the work it is meant to replace. If it does not hold up inside a real workflow on a real day, it does not ship.

The hours between the invitation and the number you submit.

That window is where margin is won and lost, and it is still carried by a handful of experienced people, a pile of drawings, and a spreadsheet only one of them fully understands. Addenda land late. Scope falls between trades. The judgment that matters most is the hardest part to scale.

We are building for that window, and taking on a small number of early partners while we do. Partners get the product before it is announced, a direct line to the people building it, and real influence over what we prioritise. We would rather talk with people who live in that window than explain it to people who do not.

Few people, early, with a lot of room to follow.

We hire slowly and give each person a real surface of their own. Expect ambiguity, short feedback loops, and the chance to shape a product while it is still soft.

Product & full-stack engineering

Applied AI / ML engineering

Product design