Data Platform in Trading & Markets
11 companies using data platform technology in the trading & markets sector. Data aggregation and enrichment platforms with minimal ML
Directory
Companies by Funding
Databricks
Unified data and AI platform
Palantir
AI data platform for finance
Dataminr
AI for real-time event and risk detection
Yipitdata
AI consumer transaction analytics
Orbital Insight
AI geospatial analytics for finance
Earnest Analytics (Consumer Edge)
AI consumer transaction data analytics
Thinknum
AI alternative data for investors
Related
Other AI Technologies in Trading & Markets
Related
Data Platform in Other Segments
Frequently Asked Questions
How is Data Platform used in trading & markets?
Data aggregation and enrichment platforms with minimal ML In the trading & markets sector, Data Platform is applied by 11 companies tracked by AIFI Map, with $18.4B 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 trading & markets companies use Data Platform?
The AIFI directory tracks 11 trading & markets companies using Data Platform, with a combined $18.4B in funding. Databricks, Palantir, Dataminr, Yipitdata, Orbital Insight, and 2 more. (Source: AIFI Map directory.)
What is the most funded Data Platform trading & markets company?
Databricks is the most funded company using Data Platform in trading & markets, with $14.0B raised. Unified data and AI platform Followed by Palantir ($2.5B).
How does Data Platform compare to other AI technologies in trading & markets?
In the Trading & Markets segment, Data Platform ranks #4 out of 8 AI technologies by adoption, with 11 companies and $18.4B in combined funding. The most widely adopted technologies in trading & markets are Agentic AI (19 companies, $197M funded); Reinforcement Learning (17 companies, $58.7B funded); LLM / NLP (17 companies, $103.5B funded). While Data Platform focuses on data aggregation and enrichment platforms with minimal ml, alternative approaches include Agentic AI, which autonomous ai agents that execute actions independently, and Reinforcement Learning, which reinforcement learning for trading and portfolio optimization.