Complex change that actually moves.

Energy and utilities run on systems older than most vendors, with change that answers to committees, regulators and half a dozen partners at once. Kallidin is built for exactly that environment: AI answers that are checked and auditable, and a way of starting that doesn’t need a transformation programme to approve it.

From the founders who built and sold two data businesses.

The problem, in your world

Nobody in a utility needs convincing that the data could work harder. What stops it is the shape of change itself: every move touches old systems, several parties and a regulator’s expectations. So programmes grow committees, and committees grow timelines, and the pilot that was meant to prove something quietly stops being talked about. The answer is not a bigger programme. It is a smaller, sharper start that produces something auditable enough to survive the scrutiny.

What you get

The diagnostic is built to be that start: short, flat fee, and scoped to the customer facing side of the business, where the value is nearest. It finds what is broken in the foundations and designs a fix that can be sequenced through the real approval landscape. From there, KAL, the Autonomous Data Office, is built to run the daily answering work, every answer checked by an independent AI agent and carrying an audit trail, which is precisely the property regulator facing decisions need.

The trust check, done early

Your security team will have a questionnaire. We’d rather see it before the first call than after the last one. Residency, audit trails, access control, versioning and exit are answered on our trust page, including where our own certifications stand. It is written to survive a review with several parties in the room.

Why us, for this sector

The team behind Kallidin has led major programmes across the utilities industry, often with the regulator in the room, including redesigning major components of critical national infrastructure around AI first principles and democratised data. We know what multi party, regulator facing change asks of a programme because we have run that change.

John Brodie
John Brodie
Co-founder
Warwick Beresford-Jones
Warwick Beresford-Jones
Co-founder
Sam Riddington
Sam Riddington
Consulting
Anders Uhrenholt
Anders Uhrenholt
Chief Engineer

Questions we hear from energy and utilities

Our systems are old and our change process is slow. Is this even viable?
That’s the environment this was designed for. The diagnostic is short and flat fee, so it fits inside existing authority rather than needing a programme approved, and it maps the fix to your real systems and your real approval landscape, not an idealised one.
Will the output stand up to a regulator’s questions?
Every answer the platform produces carries an audit trail: what was checked, what was assumed, and why it passed. That record is what a regulator facing decision has to be able to show, and it is the reason the checking layer is never switched off.

Start with a conversation.

The first step is a discovery call, and the usual next step is the diagnostic: a short, flat fee piece of work that finds what is broken and designs the fix, sequenced for how change really gets approved in your organisation.