Verbit

Verbit

Verbit was founded in Tel Aviv in 2017, born from the insight that attorneys were overspending on slow, inaccurate legal transcripts. The company built a vertical-specific AI transcription engine, Captivate, that it now pairs with human editors to serve law firms, court systems, media networks, and university campuses. It has since relocated its global headquarters to New York. Verbit’s strategy centers on a hybrid AI-plus-human service model across several asset-class-adjacent verticals: legal technology, media localization, corporate research, and education accessibility. The platform covers live and on-demand transcription, closed captioning, dubbing, translation, and audio description. Its product portfolio is organized around end-users — Legal Visor for litigation teams, Verbit Dub for broadcasters, and Campus Complete for higher education compliance — rather than a generic horizontal SaaS deployment. The firm supports over 28 languages and counts more than 3,000 clients (per the firm). Its investor base includes names like Jai Das of Sapphire Ventures and Daniel Shinar of Third Point Ventures, and the company had raised over $550 million in primary capital through 2022 (per TechCrunch, 2022). Verbit operates from offices in the United States, Canada, the United Kingdom, and Israel. The company publicly lists its leadership team, including Seth Dobrin, Ph.D., and several investor directors. Public site content suggests an active internal awareness of accessibility regulations, referencing ADA Title II, FCC mandates, and WCAG standards as adoption drivers. In May 2024, Verbit did not publish a material structural change, though its ongoing expansion of language coverage, now supporting 28 languages, signals a focus on global content localization for streaming and corporate needs. Structurally, Verbit is a venture-backed operating company rather than a fund, yet its capital-intensive balance sheet and client concentration in regulated verticals make it resemble a hands-on private equity services roll-up. It has no disclosed philanthropic foundation. What distinguishes the architecture is the editing layer: the firm employs a distributed human workforce to review AI-generated transcripts, sidestepping the quality collapse that plagues fully automated competitors and creating a moat in compliance-heavy industries where accuracy mandates are non-negotiable.