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Research & Data×Data Platform

Data Platform in Research & Data

29 companies using data platform technology in the research & data sector. Data aggregation and enrichment platforms with minimal ML

Companies 29
Total Funding $19.1B

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Companies by Funding

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Frequently Asked Questions

How is Data Platform used in research & data?

Data aggregation and enrichment platforms with minimal ML In the research & data sector, Data Platform is applied by 29 companies tracked by AIFI Map, with $19.1B in combined funding. Leading companies include Databricks (Unified data and AI platform); Palantir (AI data platform for finance); Dataminr (AI for real-time event and risk detection).

Which research & data companies use Data Platform?

The AIFI directory tracks 29 research & data companies using Data Platform, with a combined $19.1B in funding. Databricks, Palantir, Dataminr, Yipitdata, Cherre, and 16 more. (Source: AIFI Map directory.)

What is the most funded Data Platform research & data company?

Databricks is the most funded company using Data Platform in research & data, with $14.0B raised. Unified data and AI platform Followed by Palantir ($2.5B).

How does Data Platform compare to other AI technologies in research & data?

In the Research & Data segment, Data Platform ranks #1 out of 8 AI technologies by adoption, with 29 companies and $19.1B in combined funding. The most widely adopted technologies in research & data are Data Platform (29 companies, $19.1B funded); LLM / NLP (19 companies, $105.5B funded); Infrastructure (10 companies, $1.3B funded). While Data Platform focuses on data aggregation and enrichment platforms with minimal ml, alternative approaches include LLM / NLP, which large language models for nlp, chat, document understanding, and text generation, and Infrastructure, which ai/ml infrastructure, compute networks, and tooling.