Foundation first
Most AI programmes in regulated industries stall for the same reason: the data underneath them was never ready. We work the foundation first and the agents second.
Our story
Built from inside
regulated industries
A small team of practitioners, building AI for work that carries real consequence.
Founded in 2025, Marzal Labs began with a simple mission: to help regulated businesses use AI on the work that carries real consequence — and to make every output of it explainable.
We are a small team of practitioners rather than a large consultancy: architecture, engineering and delivery, with two decades of that experience earned inside financial services, healthcare, UK government programmes and the Lloyd’s market. Throughout, we have stayed committed to our core values — TRUTH: think first, reality over rhetoric, understand the business, transparency, and a human-centric mindset.
Today we have three products live in production on client tenancies, one more productising for 2026, and a Bronze-tier partnership in the Databricks Brickbuilder Partner Network. We help organisations turn their data into decisions they can trust and act on.
Our vision
Governed foundations first, then the intelligence on top
AI that reaches production in a regulated firm and stays there. We are not trying to be a general AI consultancy: we are trying to be the firm called when a system has to survive an audit as well as a demo.
Then governance, before anyone builds
Ownership, lineage, access and evidence are designed in the first architecture session, because retrofitting them after a supervisory enquiry costs several times as much.
Then the agents, one purpose at a time
Single-purpose steps with structured hand-off and a documented failure mode, rather than one monolithic prompt nobody can explain to a reviewer.
And a person accountable at the end of it
Human review is not what happens when the model fails. It is how regulated work is supposed to be done, and designing for it is what makes the automation acceptable at all.