Rev is an AI Company providing advanced Speech-to-Text solutions, enabling developers to integrate speech recognition and natural language processing into applications. Powered by a highly accurate ASR engine, Rev supports real-time transcription, human transcription, and AI-driven insights, delivering reliable, enterprise-grade speech-enabled solutions for businesses worldwide.
Rev uses advanced speech artificial intelligence technology together with human-verified transcription systems to convert audio and video content into usable information. The platform provides developers and enterprises with tools for sentiment analysis, topic extraction, and summarization, which they can use to build intelligent voice-enabled applications for multiple industries.
Rev.ai uses strong deep-learning models to generate precise results that work with various languages and different accents. The system delivers secure enterprise-grade solutions that enable automation and innovation through its features of real-time streaming and custom vocabulary and its strict compliance standards.
| Legal Name | Rev.com, Inc |
| Headquarters | San Diego, California |
| Business Model | B2B |
| Founding Date | 2013 |
| No. of Employees | Approx 150 (As of 2025) |
Rev offers Asynchronous Speech-to-Text, Streaming Transcription, Human Transcription, Language Identification, Sentiment Analysis, Topic Extraction, Summarization, Translation, Forced Alignment, multilingual speech support, speech insights, documentation resources, pricing solutions, and use-case based speech AI services.
| Jason Chicola | Founder & Chief Executive Officer (CEO) |
| Paul Huck | Co-Founder & Chief Technology Officer (CTO) |
| Zach Tanner | Vice President of Finance |
| Pat Krouse | Vice President of Operations |
| David Sweet | Vice President of Marketing |
| Michael Lane | Vice President of Development |
| Miguel Jetté | Vice President of AI and R&D |
Rev earns revenue through subscriptions, pay-per-use, and API integrations, providing AI-driven and human-verified speech solutions to individuals, enterprises, and B2B clients.
Client Segments: Enterprises and organizations needing transcription, captioning, and AI-powered speech solutions across media, legal, education, and technology sectors.
Target Companies: Corporations, educational institutions, media organizations, and technology platforms integrating speech-to-text or AI insights.
Target Geography: Primarily North America, with verified presence and compliance-ready deployments in Europe.