Data Platform in Lending & Credit
10 companies using data platform technology in the lending & credit sector. Data aggregation and enrichment platforms with minimal ML
Directory
Companies by Funding
Databricks
Unified data and AI platform
MX
AI-powered financial data enhancement
Cherre
AI real estate data management platform
Reonomy (Altus Group)
AI commercial real estate data platform
Truework (Checkr)
AI employment verification
Argyle
AI income and employment data
CompStak
AI-driven commercial real estate data analytics
LeaseAI
AI predictive leasing analytics
Uplinq
AI bookkeeping and tax for SMBs
Rentlytics (RealPage)
AI analytics for multifamily real estate
Related
Other AI Technologies in Lending & Credit
Related
Data Platform in Other Segments
Frequently Asked Questions
How is Data Platform used in lending & credit?
Data aggregation and enrichment platforms with minimal ML In the lending & credit sector, Data Platform is applied by 10 companies tracked by AIFI Map, with $15.3B in combined funding. Leading companies include Databricks (Unified data and AI platform); MX (AI-powered financial data enhancement); Cherre (AI real estate data management platform).
Which lending & credit companies use Data Platform?
The AIFI directory tracks 10 lending & credit companies using Data Platform, with a combined $15.3B in funding. Databricks, MX, Cherre, Reonomy (Altus Group), Truework (Checkr), and 5 more. (Source: AIFI Map directory.)
What is the most funded Data Platform lending & credit company?
Databricks is the most funded company using Data Platform in lending & credit, with $14.0B raised. Unified data and AI platform Followed by MX ($610M).
How does Data Platform compare to other AI technologies in lending & credit?
In the Lending & Credit segment, Data Platform ranks #3 out of 7 AI technologies by adoption, with 10 companies and $15.3B in combined funding. The most widely adopted technologies in lending & credit are Predictive ML (58 companies, $25.5B funded); Computer Vision (12 companies, $59.7B funded); Data Platform (10 companies, $15.3B 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.