Verbit.ai operates a hybrid AI + human transcription and captioning platform serving speech-intensive industries. The tech stack reveals a real-time streaming infrastructure (AWS Lambda, EventBridge, RTMP, WebSockets) paired with Python/React application logic and Claude/RAG for AI augmentation — indicating active development on low-latency, AI-driven transcript and caption generation. Current hiring is heavily weighted toward engineering and legal roles, with a focus on scaling real-time transcription performance and building out a litigation-focused product (Legal Visor), suggesting the company is pivoting from pure transcription toward vertical-specific workflow tools.
Notable leadership hires: Director of Finance
Founded in 2017, Verbit.ai builds transcription, captioning, and speech analytics products for education, legal, media, and enterprise markets. The platform combines automated AI transcription with human transcriber networks to handle accuracy-critical use cases. Core offerings include real-time captioning (Captivate), legal-focused products (Legal Visor) that surface insights during proceedings, and transcript search and SEO optimization. The company employs 201–500 people across New York (HQ), the United States, Ukraine, and Israel, with active hiring across engineering, legal operations, and finance to support platform scaling and vertical expansion.
Python, React, FastAPI, Flask, PostgreSQL, DynamoDB, AWS (Lambda, EventBridge), GCP, Docker, Claude, RAG, Langfuse, and RTMP/WebSockets for real-time streaming. Sales stack includes Salesforce and Outreach.
Real-time transcription engine integration into AI workflows, an AI-driven litigation ecosystem (Legal Visor), legal tech products, AI-powered assistants for legal teams, and platform scaling for low-latency performance across diverse streaming protocols.
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