Computer Vision in Risk & Compliance
17 companies using computer vision technology in the risk & compliance 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
Jumio
AI-powered identity proofing
Ocrolus
AI document automation for lending decisions
IDnow
AI identity verification for EU
AU10TIX
AI-powered ID authentication and fraud prevention
iProov
AI facial biometric authentication
Ekata
AI identity verification engine
Sumsub
AI all-in-one verification platform
Shufti Pro
AI-powered KYC and AML compliance
Identomat
AI-powered video KYC with biometrics
Didit
AI-native identity verification with free tier
iDenfy
AI-driven identity verification with 4D biometric detection
Related
Other AI Technologies in Risk & Compliance
Related
Computer Vision in Other Segments
Frequently Asked Questions
How is Computer Vision used in risk & compliance?
Image and video processing, OCR, and document extraction In the risk & compliance sector, Computer Vision is applied by 17 companies tracked by AIFI Map, with $59.5B 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 risk & compliance companies use Computer Vision?
The AIFI directory tracks 17 risk & compliance companies using Computer Vision, with a combined $59.5B in funding. OpenAI, Incode, Onfido (Entrust), Veriff, Jumio, and 10 more. (Source: AIFI Map directory.)
What is the most funded Computer Vision risk & compliance company?
OpenAI is the most funded company using Computer Vision in risk & compliance, with $57.9B raised. ChatGPT powers many fintech applications Followed by Incode ($407M).
How does Computer Vision compare to other AI technologies in risk & compliance?
In the Risk & Compliance segment, Computer Vision ranks #2 out of 8 AI technologies by adoption, with 17 companies and $59.5B in combined funding. The most widely adopted technologies in risk & compliance are Predictive ML (42 companies, $11.0B funded); Computer Vision (17 companies, $59.5B funded); Data Platform (11 companies, $17.9B 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.