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Veryfi Tech Stack

AI-powered document-to-data extraction APIs for financial and CPG workflows

Software Development San Mateo, California 51–200 employees Founded 2017 Privately Held
veryfi.com LinkedIn

Veryfi extracts structured data from documents using fine-tuned LLMs and vision models, built on Python + Flask + Django with heavy ML infrastructure (NumPy, SciPy, Pandas). The company is actively scaling training-data pipelines and ML models while pursuing 'bleeding edge AI skunk works projects'—indicating product expansion beyond core document parsing. Hiring is decelerating but sales-weighted (5 sales vs. 4 engineering), suggesting customer acquisition is the current growth lever.

Tech Stack 21 technologies

Core StackPython Flask Django Pandas NumPy HubSpot Jira Confluence React JavaScript Postman Adobe Premiere Pro After Effects SciPy Nvidia Xcode Webhooks Photoshop Jinja Handlebars

What Veryfi Is Building

◆Challenges

  • Optimizing training data pipelines
  • Scaling machine learning models
  • Technical issues blocking sales opportunities
  • Technical challenges
  • Performance issues
  • Integration challenges

▲Active Projects

  • Sales strategy for finserv sector
  • Training data infrastructure evolution
  • Training data pipeline optimization
  • Outbound customer demand generation
  • Veryfi apis and portal
  • Bleeding edge ai skunk works projects
  • Api implementation guidance
  • Api usage monitoring
  • Document processing optimization

Hiring Activity

Decelerating10 roles · 1 in 30d

Department

Sales
5
Engineering
4
Data
1
Support
1

Seniority

Mid
5
Senior
4
Director
2

Notable leadership hires: Sales Director

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About Veryfi

Veryfi builds APIs that convert documents—invoices, statements, receipts, and unstructured PDFs—into machine-readable data. The product targets fintech and CPG companies seeking to automate data entry and comprehension workflows. Founded in 2017 and based in San Mateo, the company operates a 51–200-person team with engineering concentrated in the US and sales expansion into Latin America (Colombia, Brazil, Argentina). Core projects span API reliability, training-data infrastructure, and demand generation for the financial-services vertical.

HeadquartersSan Mateo, California
Company Size51–200 employees
Founded2017
Hiring MarketsUnited States, Colombia, Brazil, Argentina

Frequently Asked Questions

What technology does Veryfi use to extract data from documents?

Veryfi uses fine-tuned large language models paired with vision models, built on a Python/Flask/Django stack with NumPy, SciPy, and Pandas for ML operations. The system is designed to parse unstructured documents regardless of layout or format.

What sectors does Veryfi serve?

Veryfi targets fintech and CPG (consumer packaged goods) companies. Current project focus includes a dedicated sales strategy for the financial-services vertical, with API implementation and monitoring as ongoing operational priorities.

How this profile is built

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.