aiqbench takeAI Products

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.

Source coveringSiliconANGLE

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Voice AI startup Modulate raises $25M to bring audio-native models to more developers

SiliconANGLESeptember 28, 20264 min read

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…

Excerpt shown under the publisher's RSS terms · 67 words · full text and figures are on the publisher's site

Read at SiliconANGLE ↗Ask about this article