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What they do
Voice AI startup Modulate has raised $25 million in funding led by Future Ventures, with participation from Hyperplane and Lakestar. The funding will be used to expand the reach of its audio-native models to more developers, enhancing the development of technologies that analyze raw audio to capture emotion, tone, and intent.
Why it matters
Modulate's flagship platform, Velma, utilizes an Ensemble Listening Model architecture that combines over 100 specialized audio models to analyze conversations in real-time. This approach allows for the detection of emotional signals, intent, and even deepfake voices, providing a more nuanced understanding of audio interactions than traditional transcription methods.
Traction
Modulate processes over 10 million hours of audio monthly, with a lifetime total exceeding 600 million hours. Its technology is already being applied in sectors like healthcare for deepfake detection and in online gaming for moderating voice chat, indicating strong demand across various industries.
Where the market is going
As voice becomes a primary interface for AI, Modulate is positioned to address critical challenges in understanding and interpreting audio beyond mere transcription. The company's technology threatens incumbents relying on traditional speech recognition by offering a more sophisticated solution that enhances security and user experience in voice interactions.