WHO'S IT FOR
FOR INSURERS
Independent studies put 93% of UK properties and 90% of US commercial buildings on the wrong sum insured. Intelligent AI closes that gap, returning a complete, verified profile for every address you write, so selection and pricing rest on evidence rather than assumption.
Rebuild Cost Assessment, 2025; Kroll appraisal study via Triple-I, 2024.
PORTFOLIO OVERSIGHT
A survey programme reaches a fraction of a book. Everything it cannot reach is renewed on data gathered once and trusted ever since. Intelligent AI assesses every location you hold, and refreshes it on a cycle you set rather than one your engineering capacity dictates. One UK mutual moved from surveying ten percent of its hundred thousand addresses to continuous oversight of all of them, with assessment cycles falling from eighteen months to near-immediate.
DATA YOU CAN DEFEND
Trust is the gate every risk model has to clear. Each figure we return carries its source, a confidence score and the date it was last verified, held in a permanent record of what was known at the point of bind. That is what makes it usable under Solvency II governance, defensible in a reserving review, and credible in front of a reinsurer.
RECOGNISED ACROSS THE MARKET
INSURER CASE STUDIES
What changes when exposure data stops being an assumption: sharper selection, steadier loss ratios, and portfolio decisions a board can follow all the way back to source.
A UK insurer
Cleaning up degraded address data showed that 7.3% of the file was listed buildings, with reinstatement value understated by about £188m.
OUR PRODUCT
The data behind every risk, the coverage it spans, and how it reaches your underwriting workbench.
WHO ELSE WE SERVE
Insurers are one of four groups who rely on Intelligent AI.
FREE TRIAL
Run up to 50 of your own risks through the platform and compare what comes back against the data sitting in your files today. No integration and no commitment, just a measured read on how much of your portfolio is currently priced on assumption.
