Veryfi Tech Stack

AI-powered document data extraction API for invoices, statements, and unstructured records

Software Development San Mateo, California 51–200 employees Founded 2017 Privately Held

Veryfi extracts structured data from documents using fine-tuned vision-language models, built on Python + Flask + Django + NumPy/SciPy and deployed via REST API. The company is tackling a narrow but high-friction problem: reducing manual data entry and comprehension across invoicing, accounting, and financial statements. Support and engineering are roughly co-weighted in hiring, but pain points center on integration friction, onboarding success, and ML model scaling—suggesting the API's ease-of-use and training-data quality remain constraints even after six years of model iteration.

Tech Stack 19 technologies

Core StackPython Flask Django Pandas NumPy Linux React JavaScript HubSpot Jira Confluence Postman SciPy Jinja Handlebars Nvidia Xcode REST API

What Veryfi Is Building

◆Challenges

Integration challenges
Successful onboarding
Performance issues
Reducing ticket escalation
Improving sla adherence
Optimizing training data pipelines
Scaling machine learning models
Expanding revenue from existing customers
Client relationship maintenance
Customer satisfaction

▲Active Projects

Api implementation
Api usage monitoring
Ai skunk works projects
Client onboarding
Training data infrastructure evolution
Outbound customer demand generation
Sales strategy for finserv sector
Document processing workflows
Product feature feedback
Expansion strategy development

Hiring Activity

Decelerating25 roles · 4 in 30d

Department

Support

Engineering

Sales

Data

Seniority

Mid

Senior

Director

Notable leadership hires: Sales Director

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About Veryfi

Veryfi builds a document data extraction API powered by fine-tuned LLMs with vision capabilities. The platform processes invoices, bank statements, and other unstructured documents—converting them into structured, queryable data. The company targets fintech firms and CPG brands, selling through API-first adoption with sales support in fintech verticals. At 51–200 employees, Veryfi maintains distributed hiring across North America, South America, Europe, and Eastern Europe. The product surface includes training data infrastructure, API usage monitoring, client onboarding workflows, and expanding revenue from installed-base customers.

HeadquartersSan Mateo, California

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States, Colombia, Slovakia, Mexico, Serbia, Brazil, Poland, Argentina

Frequently Asked Questions

What tech stack does Veryfi use?

Python, Flask, Django, NumPy, SciPy, React, and REST APIs power the core platform. Nvidia hardware supports model inference. HubSpot, Jira, Confluence, and Postman handle operations and development workflows.

Where does Veryfi hire for engineering and support?

Veryfi posts roles across the United States, Colombia, Slovakia, Mexico, Serbia, Brazil, Poland, and Argentina. Current open roles span support (11), engineering (6), sales (6), and data (1), with hiring velocity decelerating.

What are Veryfi's main product challenges?

Integration friction, customer onboarding success, and scaling ML models rank among top pain points. The company also focuses on reducing support ticket escalation and optimizing training data pipelines.