Precision
We name the control, the standard and the number. Vague reassurance is not a product.
About UsWe build the systems
We build the systems
enterprises run on.
Geniaz builds enterprise software for organisations operating at scale. Its Enterprise AI Control Plane, GenVeris, is the layer an organisation’s AI runs through: every model, agent and tool registered in one place, every call routed and authorised, policy enforced in the request path, and the cost and behaviour of all of it visible as it happens. Governance and assurance fall out of that as a by-product rather than as a separate exercise.
Geniaz builds enterprise software. Not one product in one category — a set of solutions for the parts of a large organisation that are complicated, operational, and usually held together by spreadsheets and goodwill.
What those solutions have in common is where we choose to sit. We build the layer the work runs through rather than a system beside it that reports on what happened. That is a harder place to build, because it has to be available, fast and correct on every request. It is also the only place from which anything can actually be changed.
GenVeris is the clearest example of it. Enterprises adopted AI far faster than they built any common point for it to pass through, so every team wired its own stack, held its own keys and interpreted policy its own way. GenVeris is the control plane that was missing: one layer every model, agent and tool registers with and every call runs through. Governance, cost control and security follow from that — they are not separate products we bolted on.
Our Core Philosophy
Four beliefs that shape what we build
These are not values on a wall. Each one shows up as a decision in the product.
01Principle
Control should make teams faster, not slower
Most controls are built to stop things. We build the opposite: limits explicit enough, and enforced close enough to the work, that a team can ship without waiting for a committee to decide whether they are allowed to. Clear limits move faster than vague ones.
02Principle
Build in the path, not beside it
A system that observes can only ever report. A system the work runs through can decide, route, stop and change things. We build in the path, and accept the availability bar that comes with it, because that is where control actually lives.
03Principle
Evidence beats assertion
A policy document proves nothing. A timestamped record of what ran, on whose behalf, and what was allowed or refused, proves a great deal. When you are in the path, that record is a by-product rather than a project — which is the whole argument for being there.
04Principle
One system, several audiences
Platform engineering, security, finance and risk each need something different from the same set of facts. Our solutions earn their place by serving all of them from one record, in terms each can act on, rather than shipping four disconnected views.
Vision
A world where the hard operational parts of an enterprise run through systems built for the job, so that “what is it doing, and how do you know?” is as ordinary a question to answer as one about the finances.
Financial reporting took a century to become routine, auditable and comparable across firms. Enterprise AI will not take a century — but it will take infrastructure, not dashboards. That is the part we build.
Mission
Build the layer, not the report
Solutions that sit in the path of the work, keep up with the pace it changes at, and can be operated by the team that owns it.
Openness
Our customers can see how a judgement was reached. Nothing important happens in a black box.
Durability
We build for systems that will be audited years from now, by people who were not in the room.
Restraint
We would rather ship a smaller claim we can evidence than a larger one we cannot.