Loading page
Chronixa is an AI engineering firm. We audit, architect, build, evaluate and then operate the systems we deliver — a deliberately unfashionable way to work, and the reason our clients' agents are still running a year after launch.
Every engagement opens with a paid audit — including the part where we tell you what is not worth building.
Not because the models are not good enough — they have been good enough for a while. They die because nobody agreed what "working" meant, because the thing that impressed a steering committee was never measured against the work it was supposed to replace, and because the team that built it moved on the week it went live.
We started Chronixa to work the other way round. Define the measurement first. Build against it in two-week sprints with something runnable at the end of each one. Then stay on the rota once it is carrying real traffic, because a system nobody owns is a system that degrades quietly until someone notices the numbers stopped moving.
An AI system you cannot evaluate is not an asset. It is a liability with good demo footage.
That is the whole company. Everything below is a consequence of it.
Stated plainly, because every one of them costs us work we would otherwise win.
We do not sell pilots. Every engagement is scoped to reach production, with the evaluation criteria agreed before a line of code is written — and we will tell you which of your use cases are not worth building.
A task-specific eval suite gates every release. Nothing ships until it beats the baseline on your own data, not on a public benchmark that has no relationship to the work you actually do.
Tracing, drift alerts, cost dashboards and an on-call team who already know your stack. The engagement does not end at handover, because that is the point at which most AI systems quietly stop working.
The Chronixa journey
Every system we were called in to rescue had already worked once — in a demo.
Not one of them could say what working meant.
Agents carrying live traffic, gated by evaluations that run on your own data.
Every decision traceable, eleven months later.
Domain platforms being built the way we build everything — measured before they ship.
Some of this is running. Some of it is still a wireframe.
We are building what comes next.
Chronixa
Five differences, each one a decision we made on purpose and can be held to.
The usual engagement
A Chronixa engagement
What you buy first
A proof of concept, priced as discovery
A paid two-week audit with a ranked, costed backlog
Who sets success
Agreed after the demo lands well
Evaluation criteria signed before any code is written
What gates a release
A public benchmark and a stakeholder review
A task-specific eval suite running on your own data
The third-week deliverable
A deck and a roadmap
A working agent your team can put real input through
After go-live
Handover, then a support contract
Tracing, drift alerts and an on-call rota we sit on
Aggregated across every production engagement currently under our operations retainer. Reviewed quarterly with each client.
Executed across production deployments in the last 12 months.
Measured across all managed inference and retrieval services.
Per automated workflow, twelve months after go-live.
From signed discovery to the first agent serving live traffic.
Northwind LogisticsSupply ChainEvery other vendor showed us a demo. Chronixa showed us an evaluation suite running against our own data, and told us which two of our five use cases were not worth building. We signed the next week.
Priya RamanChief Technology Officer68%exceptions auto-resolvedBring one process you think an agent could run. We'll tell you straight whether it's worth building — and what it would cost if it is.