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Rev is a technology company.
Rev offers a comprehensive speech-to-text platform, providing services that convert audio and video content into highly accurate text. Its core offerings include human-powered transcription, closed captions, and global subtitles, supplemented by advanced AI features such as AI transcription, AI notetaker, and AI captions. The platform is designed to process various media, delivering precise textual records and facilitating detailed analysis, including multi-file comparative insights.
The company was founded in 2010 by Jason Chicola and Paul Huck. Their foundational insight stemmed from recognizing the widespread need for reliable and efficient conversion of spoken words into text, addressing the challenges of managing and analyzing vast amounts of audio and video information across various professional domains. This led to the development of a scalable service combining human expertise with technological advancements.
Rev serves a diverse clientele across multiple industries, including legal professionals, market researchers, journalists, and educational institutions. Its platform assists with everything from legal evidence review and court reporting to creating accessible video content. The company's vision centers on transforming disparate audio and video content into definitive, searchable records, thereby surfacing critical information with accuracy and efficiency for its users.
Rev has raised $5.0M across 1 funding round.
Rev has raised $5.0M in total across 1 funding round.
Rev is a speech technology company specializing in speech-to-text solutions, offering APIs for asynchronous and streaming transcription, human-reviewed services, language identification, sentiment analysis, and topic extraction. It serves businesses, developers, journalists, researchers, and legal teams by converting audio and video into accurate transcripts, summaries, and insights, with a focus on high-stakes accuracy for sectors like legal and media.[1][2][3] Founded in 2010 and headquartered in Austin, Texas, Rev powers integrations with Zoom, YouTube, and Vimeo, employs around 270 people, and has achieved profitability while raising millions from Silicon Valley VCs, earning recognition as one of Forbes' Most Promising AI Companies.[1][2][5]
The company addresses the challenge of extracting actionable intelligence from unstructured audio/video content, blending proprietary AI with human oversight to deliver 99%+ accuracy, especially for complex terminology. Its growth includes rapid expansion, leadership in CB Insights' Generative AI for meeting intelligence (alongside Deepgram and Otter.ai), and recent executive hires like a Chief Product Officer in 2023.[1][2][5]
Rev was founded in 2010 by five MIT alumni in what was initially San Francisco, later relocating its HQ to Austin, Texas, with additional offices.[2][5] The idea emerged from recognizing the need for reliable speech-to-text amid growing audio/video content, starting as Rev.com to provide online audio transcription, video captions, and translation services.[1][5] Early traction came from serving hundreds of thousands of customers annually, raising millions in VC from top Silicon Valley firms, and scaling through AI-powered work-from-home jobs for transcribers.[2]
Pivotal moments include exceptional internal and external growth, a rebrand from Rev.com, and Forbes acclaim as a top AI company, attracting elite engineers and speech scientists. By 2023, it appointed leaders like Aron England as Chief Product and Technology Officer and Fernando Trueba as Chief Marketing Officer to fuel expansion.[2][5]
Rev rides the Generative AI wave for conversation intelligence, capitalizing on exploding demand for tools that transcribe, summarize, and analyze meetings, calls, and videos amid remote work and content proliferation.[1] Timing aligns with post-pandemic shifts to hybrid collaboration and AI accessibility needs, where market forces like regulatory demands for verifiable AI (e.g., in legal) and multimodal LLMs favor its hybrid approach over less accurate pure-play rivals like Verbit or Speechmatics.[1][3]
It influences the ecosystem by powering accessibility (captions/subtitles), enabling global reach for creators, and setting standards for trustworthy AI in high-stakes fields like justice and journalism—transforming scattered media into "definitive records" that drive insights and equity.[2][3]
Rev's hybrid model positions it to dominate trustworthy speech AI, with expansions into deeper legal/enterprise tools, more integrations, and AI enhancements for real-time insights. Trends like agentic AI, multimodal analysis, and stricter data regs will amplify its edge, potentially scaling revenue beyond $52M via global fiber-like network effects in speech data.[3][5] As AI matures, Rev could evolve from transcription leader to full conversation platform, transcending communication barriers and redefining accuracy in an era of fabricated outputs—cementing its role as the go-to for precision where it matters most.[1][2][3]
Rev has raised $5.0M in total across 1 funding round.
Rev's investors include Venky Ganesan, PE MBA, Greylock, Menlo Ventures, Meritech Capital Partners, Sequoia Capital, Austin Ligon, Craig Sherman.
Rev has raised $5.0M across 1 funding round. Most recently, it raised $5.0M Series A in November 2011.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Nov 1, 2011 | $5.0M Series A | Venky Ganesan, PE MBA | Greylock, Menlo Ventures, Meritech Capital Partners, Sequoia Capital, Austin Ligon, Craig Sherman |