Synthesia

Until a few years ago, producing a professional training video required a studio, a presenter, a post-production team, and weeks of work. For large companies needing to train thousands of employees across dozens of languages, costs multiplied quickly to a point that made systematic video-based learning impractical. Synthesia changed that equation entirely: the London-based startup lets anyone create professional videos with speaking avatars simply by typing a script, in over 120 languages, with no cameras or studios required. The platform is built on AI video generation technology. A user writes a script, selects from a library of avatars or creates a custom one, chooses a language, and has a finished video within minutes. The output is broadcast-quality, localizable to any language without reshooting, and updatable in real time by editing the source text. Companies like L'Oréal, Deloitte, and Reuters have adopted Synthesia for internal training and corporate communications, drawn by an immediate value proposition: dramatically lower production costs, faster turnaround, and the ability to keep content current without effort. The core market is enterprise learning and development alongside corporate communications — sectors where demand for video content is growing far faster than traditional production capacity can keep up with. HR, L&D, and marketing teams at large organizations face pressure to produce enormous volumes of multilingual content, often with constrained budgets and lean teams. Synthesia addresses that pressure with a subscription SaaS model that scales with the volume of content produced. By lowering the technical barrier to video creation — no video skills are needed to use the platform — it opens the potential market to teams that previously couldn't afford professional video production at all. Founded by Victor Riparbelli, Dimitri Ghanem, Steffen Tjerrild, and Matthias Niessner, Synthesia has built a leadership position at the intersection of generative AI, video production, and enterprise software. As large language models improve and avatar quality continues to advance, the platform is well-placed to extend the range of content types it can power — from training materials to external communications and personalized marketing at scale.