Modulate raises $25M to push audio-native AI to developers

Modulate started out moderating voice chat in online games, and it still looks for harassment and child grooming on social and gaming platforms. From there its customer base widened: health care institutions use the models to screen out callers impersonating staff with deepfake voices, and a newer set of customers runs voice AI agents and uses the models to check how those agents are performing.

That range runs through Velma, the company's flagship platform. Underneath it, the Ensemble Listening Model architecture picks from more than 100 small specialized audio models for each job and blends their results — a design Modulate says is up to 1,000 times more efficient than handing the same audio to one large model. The traction is measurable: more than 10 million hours of audio a month now run through the models, the lifetime total recently passed 600 million hours, and two products have taken first place on Hugging Face leaderboards this year.

The new round is meant to widen that reach rather than change the technology. New software development kits and APIs are in the works, along with models built for specific industries, and hiring will pick up in research, engineering and developer relations. The test is likely to be whether that developer-facing push turns a base of existing customers into broader adoption, and whether the company's efficiency claims hold up as more audio flows through the system.