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Modulate's latest funding highlights a strategic pivot from gaming-centric voice modulation to enterprise-grade safety and intent analysis for regulated industries. By deploying an array of specialized models to detect deepfakes, fraud, and emotional nuance, the startup addresses critical gaps in current voice AI infrastructure where simple transcription is insufficient for human interaction. This development underscores the growing necessity for robust detection layers as synthetic audio generation becomes more prevalent.

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Modulate raises $25M for its voice models and analysis suite

TechCrunchSeptember 28, 20263 min read

Modulate deploys its models to detect deepfake, fraud and scam

Boston-based voice intelligence startup Modulate has raised $25 in new funding for its platform that uses an array of small models to offer enterprises transcription, emotional analysis, deepfake and AI music detection, and policy enforcement for voice agents in regulated industries. The funding follows a popular trend among investors in the growing voice AI industry: backing companies that are trying to make AI voices sound more human.…

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