Planck, the insurance data analytics platform, raises $20M growth round – TechCrunch

Planck co-founders (from left to proper): David Schapiro, CEO Elad Tsur and CTO Amir Cohen. Image Credits: Planck

Planck, the AI-based data platform for industrial insurance underwriting, introduced immediately it has raised a $20 million growth round. The funding got here from 3L Capital and Greenfield Partners, together with returning traders Team8, Viola Fintech, Arbor Ventures and Eight Roads.

This brings the New York-based startup’s whole raised to $48 million, together with a $16 million Series B it introduced in June 2020. Planck stated it at present works with “dozens of commercial insurance companies in the U.S.,” together with greater than half of the top-30 insurers. It will use its new funding to construct its U.
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S. crew, develop into international markets and add merchandise for brand new business segments. Ernie Feirer has additionally joined Planck as its head of U.S. business. He beforehand held management roles at LexisNexis Risk Solutions, constructing data analytics options for property and casualty insurance carriers.

Planck’s database, which incorporates on-line photographs, textual content, movies, opinions and public data, permits it to offer insurance suppliers real-time info that helps them decide premiums, course of claims and provides SMEs quicker quotes. It covers greater than 50 business segments, together with eating places, development, retail and manufacturing, and may ship analytics by merely coming into a business’ title and handle.

For instance, if a healthcare business is searching for to purchase or renew an insurance coverage, Planck may give underwriters info equivalent to the sort of kit used, what sort of medicine it prescribes and the sort of surgical procedures it performs.

In a press release, 3L Capital principal Paige Thacher stated, “Commercial carriers and brokers can no longer afford to rely upon traditional data sources as they prospect, assess risk and monitor a small business insured’s changing exposure during the policy life cycle. The new imperative is to leverage AI and machine learning technologies to dynamically harvest business insights from the insured’s digital footprint.”

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