Location Intelligence
Background
The Location Intelligence API enables customers to improve business decisions and uplevel risk management by delivering instant access to the most sophisticated geocoding, hazard, exposure, and loss data. It was the first RMS API service built on AWS. In the short six months, we designed, built, and delivered the service to autoscale. Moreover, it operates at 30% of the previous operational cost, while supporting more load and throughput.
Challenges
Many challenges presented themselves while developing Location Intelligence. At the time, the DevOps environment did not exist. There was no proper API developer portal to host technical documentation needed to onboard and support API customers. Observability, system limits, and quota controls were either inconsistent or missing across RMS services. Launching the service also required extensive security validation, including internal and external penetration testing, given our industry is heavily regulated and requires meeting advanced security standards.
Results
Designing Location Intelligence API as a single service to deliver the latest RMS model science and instant risk analytics results for clients and all RMS applications was the first step in transforming RMS into a genuine SaaS business. With supporting 500+ concurrent lookups in milliseconds, Location Intelligence has an unfailing SLA record and meets even complex, multi-layer workflow requirements with a single, low-latency API call. By leveraging the best practices for building resilient, large-scale, performant, secure, cost-effective SaaS solutions, Location Intelligence monetized previously untapped markets, grew product acquisition, engagement, and revenue, and, most notably, gave customers real-time insights. With Location Intelligence API, customers can now understand, measure, and manage their business risk in milliseconds.
Today, Location Intelligence API delivers critical data and insights to major RMS customers and powers all RMS flagship applications, including SiteIQ, ExposureIQ, and Risk Modeler.
