Synthesia reaches 90% of Fortune 100 with enterprise AI video platform that replaces text, not Hollywood

Summary

Synthesia co-founder and CEO Victor founded the company in 2017 with the original ambition of enabling Hollywood-quality films from a laptop. After three to four years of R&D, the company shipped its first avatar technology in 2020, then deliberately pivoted away from creative video toward enterprise knowledge communication. That pivot is now validated by one number: Synthesia reaches 90% of the Fortune 100.

Replacing text, not video

The core positioning is that Synthesia competes against slide decks and long-form text, not against Sora or Runway. Victor argues most people would rather watch a short explainer than read a page of dense copy — whether they're trying to understand a mortgage payment or a new product feature — and that the addressable market for converting enterprise knowledge into video is larger than the market for AI-generated entertainment.

That distinction also sidesteps the uncanny valley problem that plagues consumer-facing AI video. Synthesia's enterprise viewers aren't choosing between an AI avatar and a prestige production; they're choosing between an AI avatar and a PDF. The quality bar is meaningfully lower, and the captive-audience dynamic inside corporate training or product marketing means the content doesn't need to compete for attention.

Workflow over model

Victor is explicit that pixel generation is only a fraction of what Synthesia actually sells. The platform includes a Canva-style video editor aimed at PowerPoint users rather than Adobe users, a collaboration layer, a content management system, a translation platform, and an LLM-powered co-pilot for scripting and design. The five-year build has been around the full workflow from idea to viewer, not just the generative model underneath it.

Internally, the company operates by a principle it calls "utility over novelty" — customer value over demo impressiveness.

Model strategy

Synthesia trains its own models where it believes it has a competitive advantage, particularly around avatar consistency across clips — a gap Victor says frontier models still haven't closed despite impressive demos. At the same time, the platform now aggregates third-party models, including access to Veo 3, for content that sits outside what avatar models handle well. Victor's position is that competing at the foundation model layer requires capital and talent that very few companies can sustain, and that avoiding large training runs is the rational default unless there's a specific reason to do otherwise.