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Modulate's $25M funding round validates the strategic shift toward processing raw audio signals rather than relying solely on text transcripts for AI interactions. By leveraging an ensemble architecture that combines over 100 specialized models, the company achieves significant efficiency gains while addressing critical challenges like deepfake detection and real-time sentiment analysis in voice agents. This approach establishes a robust foundation for building more secure and emotionally intelligent voice interfaces as audio becomes a primary interaction modality.
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Voice AI startup Modulate raises $25M to bring audio-native models to more developers

SiliconANGLE4 min de cititArticolul și perspectiva sunt în engleză.

Voice artificial intelligence startup Modulate Inc. today announced it has raised $25 million in new funding to get its audio-native models in front of more developers. Modulate offers AI models that work on the raw audio of a conversation. Emotion, tone and intent all register as signals, as do signs that a voice is a […] The post Voice AI startup Modulate raises $25M to bring audio-native models to more developers appeared first on SiliconANGLE.

Voice artificial intelligence startup Modulate Inc. today announced it has raised $25 million in new funding to get its audio-native models in front of more developers. Modulate offers AI models that work on the raw audio of a conversation. Emotion, tone and intent all register as signals, as do signs that a voice is a deepfake. The models can combine those readings to flag a fraud attempt…

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