Allocation that is fair, fast and economically better — all at once.
We are a small London team working on a genuinely hard problem: allocation that is simultaneously fair, fast and economically better than the alternative. Most of the industry treats those as trade-offs. We do not.
Optimisation and allocation at 45ms decision latency. Six-dimensional arbitrage across resource, cost, speed, time, geography and information. Learning loops that have to improve a live operation without destabilising it. Interfaces that make an algorithmic decision explainable to the driver it affects.
It is the kind of problem where the theory and the operational reality argue with each other constantly, and both have a point.
We do not maintain a public vacancy list. That is deliberate — we hire when we meet someone who should be working on this, rather than filling a pipeline.
If that describes you, write to office@omnioiq.com. Tell us what you would want to work on and why this problem is interesting to you. A link to something you have built is worth more than a covering letter.
London-based, small enough that the person who builds a capability is the person who sees it meet a real operation. If you want a narrow brief and a long approval chain, this will frustrate you.
Tell us what you would want to build.
Write to us