Veryfi develops APIs and SDKs powered by in-house AI models for multimodal document data extraction, fraud detection, and workflow automation. The platform transforms receipts, invoices, bank checks, bank statements, bills of lading, purchase orders, W-2s, W-9s, credit cards, insurance cards, and dozens of other document types into structured, actionable data with 99%+ accuracy. Veryfi's product suite includes mobile camera SDKs for iOS and Android, browser-based document capture, RESTful APIs for data extraction across 30+ document types, and AI agents for document classification, fraud prevention, PDF splitting, product intelligence, and conversational data insights. The company also offers no-code solutions including an embedded AI experience builder, a WhatsApp chatbot, a practice management app, and a rules engine for workflow automation. Veryfi serves organizations across accounting, banking, construction, CPG and FMCG, fintech, healthcare, and real estate industries, enabling them to automate accounts payable, expense management, insurance claims processing, KYC and KYB workflows, loyalty programs, and remote deposit capture. The platform is SOC 2 Type II certified and compliant with GDPR, HIPAA, CCPA, and ITAR standards. Veryfi provides free SDKs in 11 programming languages including Python, Java, Node.js, Go, Rust, and Swift. Founded in 2017 and headquartered in San Mateo, California, Veryfi has raised $18.9M in Series A funding from investors including Y Combinator, Zillionize, NewView Capital, Act One Ventures, and Transpose Platform.
Veryfi
Series AVeryfi develops APIs and SDKs powered by in-house AI models for multimodal document data extraction, fraud detection, and workflow automation. The platform transforms receipts, invoices, bank checks, bank statements, bills of lading, purchase orders, W-2s, W-9s, credit cards, insurance cards, and dozens of other document types into structured, actionable data with 99%+ accuracy. Veryfi's product suite includes…
About
Business model
Enterprise Information Management > Enterprise Data Management > Data Quality,
Digital Transaction Management > Document Management > Data Extraction,
Image Recognition > Optical Character Recognition > Online Solutions,
Y Combinator Batches > 2017 > Winter
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