Computer Vision in Lending & Credit
12 companies using computer vision technology in the lending & credit sector. Image and video processing, OCR, and document extraction
Directory
Companies by Funding
OpenAI
ChatGPT powers many fintech applications
Incode
AI identity verification with deepfake detection
Onfido (Entrust)
AI document and biometric verification
Veriff
AI identity verification
OpenSpace
AI for construction documentation
Jumio
AI-powered identity proofing
Tractable
AI for auto insurance claims
Ocrolus
AI document automation for lending decisions
AU10TIX
AI-powered ID authentication and fraud prevention
CAPE Analytics
AI geospatial property analysis
Nanonets
Trainable AI OCR for finance documents
Sumsub
AI all-in-one verification platform
Related
Other AI Technologies in Lending & Credit
Related
Computer Vision in Other Segments
Frequently Asked Questions
How is Computer Vision used in lending & credit?
Image and video processing, OCR, and document extraction In the lending & credit sector, Computer Vision is applied by 12 companies tracked by AIFI Map, with $59.7B in combined funding. Leading companies include OpenAI (ChatGPT powers many fintech applications); Incode (AI identity verification with deepfake detection); Onfido (Entrust) (AI document and biometric verification).
Which lending & credit companies use Computer Vision?
The AIFI directory tracks 12 lending & credit companies using Computer Vision, with a combined $59.7B in funding. OpenAI, Incode, Onfido (Entrust), Veriff, OpenSpace, and 7 more. (Source: AIFI Map directory.)
What is the most funded Computer Vision lending & credit company?
OpenAI is the most funded company using Computer Vision in lending & credit, with $57.9B raised. ChatGPT powers many fintech applications Followed by Incode ($407M).
How does Computer Vision compare to other AI technologies in lending & credit?
In the Lending & Credit segment, Computer Vision ranks #2 out of 7 AI technologies by adoption, with 12 companies and $59.7B 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 Computer Vision focuses on image and video processing, ocr, and document extraction, alternative approaches include Predictive ML, which traditional ml algorithms for classification, regression, and scoring models, and Data Platform, which data aggregation and enrichment platforms with minimal ml.