Modulate raises $25M to analyze voice tone and intent beyond transcripts
Modulate, a Boston-based AI company, secured $25 million in new funding led by Future Ventures, with participation from Hyperplane and Lakestar. The total funding now stands at $60 million. The company focuses on developing voice AI that goes beyond traditional speech-to-text by analyzing audio for emotions, tone, pauses, and conversational behavior—signals often missed by transcript-based…
Key points
- Modulate raised $25M, bringing total funding to $60M, with Future Ventures leading the round
- Velma platform analyzes audio for emotions, tone, and conversational signals beyond transcripts
- ELM architecture uses 100+ specialized models, claims 1,000x computational efficiency vs. large models
Modulate’s flagship platform, Velma, uses an Ensemble Listening Model (ELM), which coordinates over 100 specialized models to analyze audio in real time. This approach claims to be up to 1,000 times more computationally efficient than using a single large model. The technology can detect frustration in customer calls, identify deepfake speech, or monitor AI agents for unintended interruptions. Velma is already used in gaming moderation (via ToxMod) with partners like Activision and Riot Games, but Modulate is expanding into fraud detection, compliance, and customer experience. The company processes over 10 million hours of audio monthly and has handled 600 million hours total since launch.
Modulate Raises $25M to Build the Intelligence Layer for Voice AI
Unite.AI · 28 September 2026
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2sources- Modulate raises $25M for its voice models and analysis suitePress · TechCrunch AI ·
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