Reduce Settlement Time
Combine real-time data sources with spatial and actuarial datasets to reduce time from FNOL to settlement
Kinetica for Insurance
Modernize Property & Casualty Insurance
Kinetica is changing the game for how insurance companies evaluate risk, respond to major weather events, and expedite the claims settlement process.
Kinetica is a real-time geospatial database that leverages advanced vectorized technology. It's being used with large insurers for faster and more sophisticated analysis of property claims from weather events with full location context.
Improve Claims Adjuster Efficiency
Direct claims adjusters to areas most likely to be impacted. Provide insight ahead of the weather event that helps predict potential loss.
Increase Capability to Identify Claim Fraud
Leverage machine learning models with real-time data to identify discrepancies between claims and predicted damages.
Recent Webinar:
Modernize Property & Casualty Insurance: A Live Demo from Kinetica
BEFORE: Batch & Summarized Data
AFTER: Real-time & Detailed
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.
- 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.
Time-Series and Geospatial Capabilities
Kinetica combines time-series, spatial, and graph capabilities into a unified database available through a SQL & Postgres compatible interface. 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 Kinetica Now:
Kinetica Cloud is free for projects up to 10GB
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Webinar
Modernize Property & Casualty Insurance: A Live Demo with Kinetica
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Talk to Us!
The best way to appreciate the possibilities that Kinetica brings to high-performance real-time analytics is to see it in action.
Contact us, and we'll give you a tour of Kinetica. We can also help you get started using it with your own data, your own schemas and your own queries.
Frequently asked questions
How does Kinetica accelerate weather-event claims processing?
Kinetica ingests real-time weather events via Amazon Kinesis and policy data from S3, then fuses
changing weather with building-footprint data using geo-joins and temporal joins. Containerized
SageMaker ML models predict damage and liability inline, and the results are served back to BI tools
via the Postgres wireline protocol with WMS-rendered map layers.
How does Kinetica change the day-to-day claims workflow?
Kinetica replaces the legacy batch-and-summarized dashboard with a real-time, detailed view.
Real-time intelligence reduces FNOL-to-settlement time, directs claims adjusters to the
highest-impact areas, and uses ML on real-time data to flag claim/damage discrepancies for fraud
review.
What core database features make Kinetica a fit for P&C insurance?
A lockless architecture with distributed ingestion and vectorized query allows simultaneous ingest
and query without re-indexing, and over 130 geospatial functions plus geo-joins, graph solving, and
matching make spatial+temporal correlation on claims data tractable through SQL.
Do I keep my existing BI tools and ML stack?
Yes. Kinetica's Postgres wireline lets BI tools connect directly, the WMS endpoint feeds
visualizations, and the SageMaker integration pattern shows how containerized ML models plug into
the same pipeline that ingests Kinesis streams.
What does "lower TCO" actually mean here?
Vectorized algorithms allow simpler data structures, which means less time engineering schemas, more
flexibility for ad-hoc analysis, and lower compute costs — important for spiky workloads tied to
severe weather events.