Our Company

Insurdata intelligently captures, enhances, scores and transfers high-resolution,
peril-specific geocoding data.

Our vision is to provide re/insurers with granular geocoding data at the
individual risk level, accessible in real-time at any point in the re/insurance chain.
That heightened granularity enables more accurate pricing, supports targeted
underwriting and means better-informed risk assessment decisions.
Pricing Impact: Our study of 19 re/insurers aggregated data for 20,000 locations
identified 25% of geocodes were displaced by more than 100m. This created a
60% average per location change in modelled annual average loss.

To deliver on that mission, our experts come from across the re/insurance,
catastrophe modelling, technology and risk management fields to create our
data thinktank. Out of that collective knowledge base, we have developed a
unique geocoding algorithm.

The iD algorithm converts the crude, incorrect geocoding information that
underpins underwriting decisions into the refined, accurate data that can
effectively power high-resolution pricing and underwriting decisions.
Insurdata technology significantly increases the value received from core
functions, such as underwriting, accumulation management and catastrophe
modelling.

By generating and delivering portfolio-wide, high-resolution, accurate geocoding
data, Insurdata is helping drive the re/insurance industry forward.