● Covered by 2 sources · 2 reportsMedium impact2 neutral
Modulate Secures $25M in Funding for Voice AI Analysis and Deepfake Detection
Key points
- Modulate raised $25 million in new funding.
- The platform uses small models for voice analysis and deepfake detection.
- Funding was led by Future Ventures, with participation from Hyperplane and Lakestar.
- The company focuses on detecting AI audio generation and analyzing conversational intent.
- Modulate's total funding reached $60 million.
- The platform is named Velma.
- Velma uses an Ensemble Listening Model (ELM) architecture.
- Velma integrates over 100 specialized models.
- Modulate analyzes over 10 million hours of audio monthly.
- Modulate analyzed over 600 million hours of audio in total.
- Modulate's models ranked #1 on Hugging Face benchmarks.
- Velma is twice as accurate as traditional LLMs.
- Velma generates seven times fewer false positives.
- Velma operates in real time.
Modulate Secures New Funding Round
Modulate, a voice intelligence startup based in Boston, has successfully raised $25 million in a new funding round. This investment will support the continued development of its platform, which utilizes multiple small models to offer services such as transcription, emotional analysis, deepfake and AI music detection, and policy enforcement for voice agents in regulated industries. The funding round was led by Future Ventures, with additional participation from Hyperplane and Lakestar.
Platform Capabilities and Technology
Modulate's platform is built on an array of over 100 small voice models, categorized into signal extraction and analysis/detection. Signal extraction models focus on understanding vocal emotion, tone, language, and identifying synthetic voices. Analysis/detection models interpret intent, such as customer needs, rule violations, or scam attempts. The use of smaller models allows the company to operate without specialized hardware and extensive compute resources, facilitating easier training and integration of new capacities.
Evolution and Market Focus
Founded in 2017 by MIT physics graduates Mike Pappas and Carter Huffman, Modulate initially focused on voice modulation for gaming before shifting to voice-based moderation tools. With the rise of voice AI models, the company now concentrates on detecting various forms of AI audio generation and analyzing the intent behind spoken words. This approach addresses the need for nuanced understanding in conversations, which is crucial for human interaction.
Industry Impact and Customer Base
The funding reflects a broader trend in the voice AI industry towards supporting companies that enhance the human-like quality of AI voices and detect malicious voice cloning. Modulate's services rival those of companies focused on analyzing conversational intent and protecting against deepfake calls. The company serves a diverse customer base, specializing in deepfake detection and alerting organizations like call centers to potential scams. It also monitors AI agent responses to customers for quality assessment.
Updates
- Modulate's total funding reached $60 million.
- The platform is named Velma.
- Velma uses an Ensemble Listening Model (ELM) architecture.
- Velma integrates over 100 specialized models.
- Modulate analyzes over 10 million hours of audio monthly.
- Modulate analyzed over 600 million hours of audio in total.
- Modulate's models ranked #1 on Hugging Face benchmarks.
- Velma is twice as accurate as traditional LLMs.
- Velma generates seven times fewer false positives.
- Velma operates in real time.
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How outlets covered it
Modulate, an AI firm specializing in audio-native models, raised an additional $25 million in funding, bringing its total funding to $60 million. This investment will support the development of its deepfake detection and voice analysis platform, Velma, and expand its team and infrastructure.
Modulate, a Boston-based startup, has raised $25 million in new funding to advance its voice intelligence platform, which provides transcription, emotional analysis, deepfake detection, and policy enforcement for voice agents. This funding enables Modulate to further develop its array of small voice models for nuanced conversation understanding and protection against AI audio generation and scams. The investment highlights continued interest in voice AI technologies that aim to make AI voices more human-like and detect malicious uses of voice cloning.