Category and buyer
Enterprise learning and communications teams are paying for AI video generation to turn documents, slides and screen recordings into on-brand training and internal updates without relying on studios, agencies or scarce video talent.
Synthesia, the UK-based AI video generation platform, has raised EUR 190 million in a recently announced funding round. Google Ventures led the financing, joined by Evantic, Hedosophia, NVentures, Nvidia, Accel, Kleiner Perkins, New Enterprise Associates, PSP Growth, Air Street Capital and MMC Ventures.
The funding was disclosed as a Series E round valuing Synthesia at USD 4 billion (per Tech.eu), underscoring continued investor appetite for applied AI software that is already embedded in large enterprise workflows.
Why this round fits the current market
AI video has moved from experimentation to operational content production. The addressable market is still early: the AI video generation market was estimated at USD 550 million in 2023 and is projected to reach nearly USD 2 billion by 2030, implying about 20% CAGR. For investors, that growth profile is most attractive where the product is tied to recurring enterprise spend and clear ROI, not consumer virality.
Synthesia is positioning itself squarely in that enterprise lane. The company says the round is driven by “a rare convergence” of:
- A technology shift, with AI agents becoming more capable
- A market shift, where upskilling and internal knowledge sharing have become board-level priorities
That framing matters commercially. Training and internal comms budgets tend to be more durable than marketing experimentation, and they map to repeatable, template-driven production where software can replace external services.
Product depth and switching costs
Synthesia’s retention story is less about one-off video creation and more about becoming a workflow layer for knowledge creation and distribution. Recent product releases highlighted in the reporting include:
- Personal avatars with emotions
- A Chrome extension to create videos from screen data
- An AI video assistant that converts documents into videos
- Collaboration features for simultaneous editing
These features push the platform toward day-to-day usage across teams. Collaboration and document-to-video conversion, in particular, create stickiness because they tie the product to internal content pipelines and approval processes. Once a company standardises templates, avatar libraries, brand rules and review workflows, switching costs rise, even if baseline “text-to-video” capabilities commoditise.
Synthesia’s breadth also supports expansion. The platform offers 240+ avatars in 160+ languages and a tiered SaaS subscription model with free and paid plans. For global enterprises, multilingual coverage is not a nice-to-have: it is a prerequisite for scaling training across geographies without multiplying production cost.
Go-to-market signal: enterprise traction
Synthesia is used by over 90% of the Fortune 100, indicating strong penetration into large-company accounts and a sales motion that can survive procurement scrutiny. In practice, that level of enterprise traction typically correlates with:
- Security, compliance and admin controls that satisfy IT and risk teams
- Repeatable deployment patterns across HR, L&D, internal comms and operations
- Budget expansion as teams move from pilots to ongoing content programmes
It also suggests the category is consolidating around a few credible vendors for mission-critical internal content, rather than being fragmented across dozens of tools.
What the financing likely supports
Synthesia has not disclosed a detailed use-of-proceeds in the provided source. Based on the company’s stated ambition to build “the defining company” at the intersection of AI agents and enterprise upskilling, likely focus areas (inference) include:
- Deeper agent-assisted creation and governance features to reduce time-to-publish and enforce brand and policy controls
- Scaling enterprise sales and customer success capacity to expand within existing large accounts
- Continued investment in multilingual and localisation capabilities to support global rollouts
The investor mix reinforces that direction. With GV leading and participation from both top-tier software investors and Nvidia’s venture arm, the round reads as a bet on an enterprise application layer that can compound usage as model capabilities improve.
Competitive context
AI video generation is becoming a crowded space, with both startups and larger platforms adding video capabilities. The near-term competitive pressure will be on ease-of-use and price. The longer-term differentiator will be workflow integration: governance, collaboration, asset management, security and measurable training outcomes. Synthesia’s product roadmap and enterprise footprint indicate it is aiming for that higher-control, higher-retention segment.
What this enables
- Faster production of training and internal comms content at lower marginal cost
- Standardised, multilingual content distribution for global workforces
- Expansion from “video tool” to a collaboration and knowledge workflow layer
What to watch
- Whether AI agents become a practical, auditable layer for enterprise content creation and approvals
- Procurement dynamics as incumbents add similar capabilities and bundling pressure increases
- How Synthesia defends pricing as baseline generation quality improves across the market
- Evidence of expansion beyond L&D into operational training, compliance and frontline enablement