Veryfi, Inc. GTM brain

Veryfi provides document extraction, capture and fraud detection APIs and SDKs to software builders and finance operations teams.

category

Document AI and fraud detection

market profile

  • text: Financial workflows require extraction from receipts, invoices, bank statements and checks, often at application scale.
  • text: Fraud detection and capture quality are adjacent needs to OCR for fintech and expense platforms.

personas

  • title: Fintech product and engineering leader
    pains:
    • Building reliable document capture and structured extraction into an existing application
    • Balancing implementation time with sensitive financial data protection
  • title: Accounts payable operations director
    pains:
    • Manual invoice and receipt entry slows processing
    • Inconsistent documents and fraudulent submissions require review
  • title: Fraud and risk manager
    pains:
    • Detecting manipulated or repeated financial documents at intake
    • Explaining risk flags to investigators

icp

  • text: Fintech, payments and expense software vendors embedding document workflows in customer-facing products.
  • text: Companies with recurring document volumes in accounting, banking, construction, healthcare or consumer loyalty.

message pillars

  • text: Extract data and flag suspicious documents through one integration.
  • text: Address privacy from the start.
  • text: Automate business documents quickly.

objections

  • objection: Will it work with our document mix and accuracy requirements?
    response: Run a representative free pilot and measure extraction and exception rates by document type.
  • objection: How will costs scale?
    response: Model document volume and mix against published rates and the Starter minimum, then request volume pricing if appropriate.
  • objection: Can we trust it with sensitive documents?
    response: Review security and data retention terms with the team before production.

competitors

  • name: Mindee
    why: Developer-oriented document extraction APIs.
  • name: Nanonets
    why: AI document processing and workflow automation.
  • name: Rossum
    why: Automates financial document processing.
  • name: ABBYY
    why: Established document capture and intelligent processing vendor.

keywords

  • receipt OCR API
  • invoice data extraction API
  • document fraud detection
  • bank statement OCR
  • mobile document capture SDK
  • intelligent document processing
  • accounts payable automation

voice

  • direct
  • playful
  • developer-friendly

signals

  • text: A fintech is adding receipt, check or bank statement capture to its product.
  • text: An AP team is digitizing high-volume invoice intake and reviewing fraud exposure.

stack

  • API
  • mobile SDK
  • browser SDK

pricing

model: usage
starting price: Free up to 100 documents per month; Starter minimum $500 per month

motion

hybrid

channels

  • SEO
  • developer documentation
  • LinkedIn
  • customer case studies

confidence

high

Founders

  • name: Dmitry Birulia
    title: Founder
    role: Founder
    bio: 2017: Cofounded Veryfi to build Stripe for Data Extraction & Transformation 2010: Led 3 Engineering teams at Coupons, Inc. (NYSE: QUOT). Experienced evolution of the company from a Startup to IPO 2009: Came to the US from Belarus 2006: Master's Degree in Computer Science
  • name: Ernest Semerda
    title: Founder
    role: Founder
    bio: 2017: Cofounded Veryfi to build the world’s most experienced data extraction expert! 2012: Cofounded (Medlert, now VectorCare); a logistics & communication platform to connect hospitals to ambulances in the US #HealthTech. Today the software powers logistics & communication at Kaiser, Sutter, Emery et al. 2010: Led International Engineering at Coupons, Inc. (now Quotient Technologies NYSE: QUOT). Got to experience the journey from startup to a $2B IPO.

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