Data Platform in Enterprise Finance
6 companies using data platform technology in the enterprise finance sector. Data aggregation and enrichment platforms with minimal ML
Directory
Companies by Funding
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Other AI Technologies in Enterprise Finance
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Data Platform in Other Segments
Frequently Asked Questions
How is Data Platform used in enterprise finance?
Data aggregation and enrichment platforms with minimal ML In the enterprise finance sector, Data Platform is applied by 6 companies tracked by AIFI Map, with $627M in combined funding. Leading companies include MX (AI-powered financial data enhancement); Heron Data (AI document intake for lending and insurance).
Which enterprise finance companies use Data Platform?
The AIFI directory tracks 6 enterprise finance companies using Data Platform, with a combined $627M in funding. MX, Heron Data. (Source: AIFI Map directory.)
What is the most funded Data Platform enterprise finance company?
MX is the most funded company using Data Platform in enterprise finance, with $610M raised. AI-powered financial data enhancement Followed by Heron Data ($17M).
How does Data Platform compare to other AI technologies in enterprise finance?
In the Enterprise Finance segment, Data Platform ranks #4 out of 5 AI technologies by adoption, with 6 companies and $627M in combined funding. The most widely adopted technologies in enterprise finance are Predictive ML (58 companies, $13.0B funded); LLM / NLP (17 companies, $87.0B funded); Computer Vision (11 companies, $59.9B 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 LLM / NLP, which large language models for nlp, chat, document understanding, and text generation.