Data Platform in Insurance
5 companies using data platform technology in the insurance sector. Data aggregation and enrichment platforms with minimal ML
Directory
Companies by Funding
Related
Other AI Technologies in Insurance
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Data Platform in Other Segments
Frequently Asked Questions
How is Data Platform used in insurance?
Data aggregation and enrichment platforms with minimal ML In the insurance sector, Data Platform is applied by 5 companies tracked by AIFI Map, with $16.8B in combined funding. Leading companies include Databricks (Unified data and AI platform); Palantir (AI data platform for finance); Cherre (AI real estate data management platform).
Which insurance companies use Data Platform?
The AIFI directory tracks 5 insurance companies using Data Platform, with a combined $16.8B in funding. Databricks, Palantir, Cherre, Orbital Insight, Planck (Applied). (Source: AIFI Map directory.)
What is the most funded Data Platform insurance company?
Databricks is the most funded company using Data Platform in insurance, with $14.0B raised. Unified data and AI platform Followed by Palantir ($2.5B).
How does Data Platform compare to other AI technologies in insurance?
In the Insurance segment, Data Platform ranks #4 out of 6 AI technologies by adoption, with 5 companies and $16.8B in combined funding. The most widely adopted technologies in insurance are Predictive ML (28 companies, $10.8B funded); Computer Vision (7 companies, $58.4B funded); LLM / NLP (7 companies, $101.9B funded). While Data Platform focuses on data aggregation and enrichment platforms with minimal ml, alternative approaches include Predictive ML, which traditional ml algorithms for classification, regression, and scoring models, and Computer Vision, which image and video processing, ocr, and document extraction.