Partner practices
Databricks partnershipPlatforms we build on
Microsoft AzureGoogle CloudAnthropic ClaudeOpenAISnowflakeHow we choose
Regulatory frameworksVendor neutrality
Analytics & Artificial Intelligence
Evidence your risk, audit, and compliance functions will accept.
AI creates value when it is actually in use, trusted, and connected to a decision somebody is accountable for. Marzal Labs takes AI from promising demonstration into everyday operation — with testing, monitoring, and human review built in from the start rather than added when a concern is raised.
Capabilities
The change
Activity is high and adoption is low. Ideas get built, demonstrations impress, and then progress stalls at the moment risk, compliance, or audit ask what happens when it gets something wrong. The obstacle is rarely whether the technology works. It is that nobody can yet show how it will be controlled.
Putting AI into real use needs testing you can show, monitoring that catches problems early, clear points where a person decides, and a record of all three. Together those turn a promising idea into something the business can stand behind publicly.
Establish what is needed to run AI dependably rather than experimentally.
Apply AI to the reading, checking, and comparing that consumes people’s time.
Put forecasting and analysis to work in decisions the business makes daily.
Give your risk and compliance functions the evidence they need to approve.
What makes us different
Most AI work concentrates on making the model better and treats governance as a later conversation. We reverse it — testing, review, and record-keeping are agreed in the first phase. It is the difference between something that impresses in a demonstration and something that clears a risk committee.
Our document understanding tools exist because we built them against real documents and put them in front of real reviewers.
Review is a deliberate part of how the system works, with agreed thresholds — not a disclaimer at the bottom of a report.
We design so that changing provider is a decision, not a rebuild.
Outcomes that matter
Stated as commitments we can evidence in a diligence conversation. Where we publish a figure, we can produce the working behind it.
Trusted work
Narratives are anonymised by agreement.
A specialty MGA operating in the Lloyd’s market400+ submissions / week
An NHS acute trust running seven specialty pathways2,400 referrals / month
A professional services firm mid-market enterprise14 source systems unified
A specialty carrier writing UK and US E&S businessClient reference — STARR
A UK building society and retail lenderProgramme delivery
A UK government public health programmeNational scale
