Underwriting, pricing and claims analytics

Risk data for insurers 4 companies

Insurers price each policy from data on the property, the driver and past claims.

VeriskVerisk, with engineers in Hyderabad, is the data company of American property and casualty insurance.HyderabadHired recently

Cambridge Mobile TelematicsCambridge Mobile Telematics, with engineers in Chennai, uses sensors in a phone or car to score how safely someone drives and to detect crashes.ChennaiHiring now

ArchipelagoArchipelago, with engineers in Delhi, organises the data on large companies' commercial buildings for the insurers that cover them.Delhi NCRHired recently

Cotality (CoreLogic)Cotality, formerly CoreLogic, sells the property data used to price a home's insurance.Delhi NCRSee alsoReal estate portals and mortgage tech

The tech, explainedProperty risk data Usage-based insurance (telematics)AI claims estimation Automated valuation model (AVM)↗ Proptech

Tools for underwriters and risk managers 3 companies

Underwriters review each application on one screen, AI models read applications and first claim reports, and large companies track their own risks.

Riskonnect Inc.Riskonnect, with engineers in Delhi, Bengaluru and Pune, keeps large companies' insurance policies, claims and risks in one system.Bengaluru · Delhi NCR · Pune

FurtherAIFurtherAI uses an AI model to read applications for cover and the first reports customers make after a loss.Bengaluru

SendSend, with engineers in Bengaluru, sells the underwriter's workbench: one screen for reviewing each application.

The tech, explainedUnderwriter workbench AI for insurance submissions and claims Risk management information system (RMIS)

How it all worksInsurtechInsuring the car, then a scooter hits it.

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What's changing

Claims settled from a photograph.

For a dented car or a cracked screen, an AI model can now estimate the repair from a photo and approve the claim in minutes, with a person checking only the unusual ones.