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Kinetica for Insurance

Modernize Insurance Analysis

Kinetica is changing the game for how insurance companies evaluate risk, act on events, and provide fast and accurate claims management.

Kinetica is a real-time geospatial database that leverages advanced vectorized technology. It's being used with insurers like Liberty Mutual for faster and more sophisticated analysis of property claims from weather events with full location context.

Proven with:
Case Study

Kinetica + AWS for Real-time Claims Management

When damaging weather events occur, an insurer's response can make or break a policyholder's experience and the insurer's bottom line.

In this example, you can see how one insurer gets ahead of potential claims by analyzing how real-time weather events are affecting policies.

Kinetica and AWS provide the components to modernize claims
management using real-time location intelligence.

Architecture Diagram for Insurance Analytics
  • Ingest real-time weather events using Amazon Kinesis and Policy data from S3
  • Fuse changing weather data with building footprint data in real-time using geo-joins and temporal joins
  • Invoke containerized Sagemaker ML models to predict damage, severity, and liability in real-time
  • Visualize billions of data points in real-time by sending WMS data to your choice of BI tools using Postgres Wireline

Kinetica: The Database for an Increasingly Risky World

Insurance companies need to make good decisions based on vast quantities of location related data. Kinetica makes it quicker and easier to collate, fuse, and visualize that data for better analysis and more responsive event handling.

Real-Time Intelligence

Kinetica's lockless architecture, distributed ingestion, and vectorized query enable you to work with numerous sources of spatial and streaming data. Kinetica allows for simultaneous ingest and query, and avoids the need for constant re-indexing and re-aggregations as new data changes the picture.

Advanced Geospatial Capabilities

Kinetica is capable of analyzing billions of objects as they move in real-time. Over 130 geospatial functions, geo-joins, graph solving and matching makes analytics on spatial and time series data at scale easier and faster.

Lower TCO, Faster to Deploy

Kinetica's vectorized capabilities enable analysts and engineers to analyze and deploy systems quicker than ever. Vectorized algorithms allow for simpler data structures, which means less time engineering the data, more flexibility for exploring the data, and lower compute costs.

Try it Now: Kinetica Developer Edition is Free Get Started »

Book a Demo!

Sometimes marketing copy can sound too good to be true. The best way to appreciate the possibilities that Kinetica brings to large-scale geospatial analytics is to see it in action, or try it with your own data, your own schemas and your own queries.

Contact us, and we can set you up with a demo and a trial environment for you to experience it for yourself.