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Verbit.ai Tech Stack

AI transcription and captioning platform for legal, education, and media

Digital Accessibility Services New York, NY 201–500 employees Founded 2017 Privately Held
verbit.ai LinkedIn

Verbit.ai combines machine learning transcription with human review to serve speech-intensive industries. The stack reveals a hybrid architecture: Python + FastAPI for ML inference, AWS/GCP for scale, and PostgreSQL/DynamoDB for storage, paired with Salesforce and Outreach for GTM. Current hiring is engineering-heavy (5 roles) with senior-level focus, while active projects center on legal AI workflows and transcription automation — suggesting a shift toward verticalized, AI-native products beyond generic captioning.

Tech Stack 36 technologies

Core StackPython AWS Cursor RAG Java Node.js Ruby on Rails Playwright TypeScript Salesforce React FastAPI Flask AWS Lambda Docker PostgreSQL DynamoDB ADP GCP Langfuse LiteLLM Resque ADP Workforce Now Outreach LinkedIn Sales Navigator AWS EventBridge SQLAlchemy HiBob WebSockets RTMP+6 more

What Verbit.ai Is Building

◆Challenges

  • Limited brand recognition
  • Building net-new pipeline
  • Scalable automation solutions
  • Reporting and process improvement

▲Active Projects

  • Ai-driven litigation ecosystem
  • Ai-powered workflows for legal teams
  • Ai-powered transcription engine workflows

Hiring Activity

Accelerating8 roles · 6 in 30d

Department

Engineering
5
HR
1
Legal
1
Sales
1

Seniority

Senior
6
Junior
1
Mid
1
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About Verbit.ai

Verbit.ai delivers transcription, captioning, and speech-derived insights to enterprises in legal, education, and media. The product combines AI-powered speech recognition with human transcriber review to meet accuracy requirements in regulated and high-stakes contexts. Founded in 2017, the company operates from New York and employs 201–500 people. Beyond core transcription, Verbit offers specialized products like Legal Visor, which surfaces real-time insights during legal proceedings. The platform serves both content accessibility (compliance, SEO, audience expansion) and operational intelligence use cases.

HeadquartersNew York, NY
Company Size201–500 employees
Founded2017
Hiring MarketsIsrael, United States, India, Ukraine

Frequently Asked Questions

What tech stack does Verbit.ai use?

Python, FastAPI, Flask for backend; React for frontend; AWS and GCP for infrastructure; PostgreSQL and DynamoDB for data; Salesforce and Outreach for sales ops. Also uses RAG, Langfuse, and LiteLLM for AI/ML workflows.

What is Verbit.ai working on?

Three core active projects: an AI-driven litigation ecosystem, AI-powered workflows for legal teams, and an AI-powered transcription engine. Strategic focus is on verticalized legal and automated transcription.

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How this profile is built

Verbit.ai'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.