
Inference startup Runware has raised a $50 million Series A round to accelerate its vision of providing "one API for all AI" across image, video and audio generation. The San Francisco– and London-based company says it has already powered more than 10 billion outputs for 200,000+ developers and 300 million end users, routing workloads through a unified API backed by its custom Sonic Inference Engine. Dawn Capital led the round, joined by Comcast Ventures, Speedinvest, Insight Partners, a16z Speedrun and other backers, bringing Runware’s total funding to $66 million and cementing it as one of Europe’s most heavily backed AI infra plays. The company claims its tightly integrated hardware–software stack can deliver up to 10x faster, cheaper inference than conventional data-center setups, while aggregating hundreds of thousands of model variants behind a single integration. Strategically, Runware is positioning itself as a neutral layer above the model wars, promising to onboard millions of additional open-weight models by 2026 so developers can swap and combine models without re-architecting their stacks.
Runware raised a $50 million Series A round led by Dawn Capital to scale its unified API and custom inference infrastructure for multimodal generative AI.
Runware raised a $50 million Series A to expand its real-time generative media API platform and underlying AI inference infrastructure.