Computer Vision in Enterprise Finance
11 companies using computer vision technology in the enterprise finance sector. Image and video processing, OCR, and document extraction
Directory
Companies by Funding
OpenAI
ChatGPT powers many fintech applications
ABBYY
Enterprise intelligent document processing
Hyperscience
AI-powered document processing platform
Instabase
GenAI-powered document extraction
Rossum
AI document understanding without templates
Eigen Technologies (Sirion)
AI for complex financial document extraction
Nanonets
Trainable AI OCR for finance documents
Mindee
AI document parsing with open-source docTR
Veryfi
AI expense and receipt capture
Klippa (SER Group)
AI-powered invoice and document processing
Related
Other AI Technologies in Enterprise Finance
Related
Computer Vision in Other Segments
Frequently Asked Questions
How is Computer Vision used in enterprise finance?
Image and video processing, OCR, and document extraction In the enterprise finance sector, Computer Vision is applied by 11 companies tracked by AIFI Map, with $59.9B in combined funding. Leading companies include OpenAI (ChatGPT powers many fintech applications); ABBYY (Enterprise intelligent document processing); Hyperscience (AI-powered document processing platform).
Which enterprise finance companies use Computer Vision?
The AIFI directory tracks 11 enterprise finance companies using Computer Vision, with a combined $59.9B in funding. OpenAI, ABBYY, Hyperscience, Instabase, Rossum, and 5 more. (Source: AIFI Map directory.)
What is the most funded Computer Vision enterprise finance company?
OpenAI is the most funded company using Computer Vision in enterprise finance, with $57.9B raised. ChatGPT powers many fintech applications Followed by ABBYY ($1.0B).
How does Computer Vision compare to other AI technologies in enterprise finance?
In the Enterprise Finance segment, Computer Vision ranks #3 out of 5 AI technologies by adoption, with 11 companies and $59.9B 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 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 LLM / NLP, which large language models for nlp, chat, document understanding, and text generation.