AI document data extraction APIs for receipts, invoices and statements
Veryfi sells document-to-data extraction APIs built on a Python-heavy ML stack (Flask, Django, Pandas, NumPy, SciPy) running on NVIDIA hardware. Job posts point to two fronts: reworking training data pipelines to scale its models, and a newer loyalty-campaign line using WhatsApp bots where fraud and duplicate submissions are live problems. Hiring is slow and senior-weighted, with a Sales Director search signaling a push into financial services.
Notable leadership hires: Sales Director
Veryfi, founded in 2017 and headquartered in San Mateo, California, builds AI models that extract structured data from documents such as invoices, receipts and bank statements. The product is delivered as APIs and a developer portal, with webhooks for integration into customer systems. Its core buyers include fintech companies and consumer packaged goods brands, with additional relevance to accounting, bookkeeping and AEC workflows. The privately held company employs 51–200 people and hires across the United States, Colombia and Mexico.
Veryfi runs on Python with Flask, Django, Pandas, NumPy and SciPy, uses NVIDIA for ML workloads, React and Node.js on the front end, plus HubSpot, Jira, Confluence and Postman.
Job posts cite training data infrastructure and pipeline optimization, the Veryfi APIs and portal, experimental AI projects, WhatsApp bots for loyalty programs, and a financial services sales strategy.
Veryfi is headquartered in San Mateo, California, and hires in the United States, Colombia and Mexico.
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Veryfi's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.