Modulate Raises $25M to Expand Voice Intelligence and AI Audio Detection Platform

Modulate, a Boston-based voice intelligence startup, has raised $25 million in new funding to expand a platform that combines transcription, emotional analysis, deepfake and AI music detection, and policy enforcement for voice agents.

Future Ventures led the round, with participation from Hyperplane and Lakestar. Before the new financing, Modulate had raised $41 million and was valued at $170 million, according to PitchBook data cited in the source material.

Founded in 2017 by MIT physics graduates Mike Pappas and Carter Huffman, Modulate initially focused on voice modulation for gaming before shifting toward voice-based moderation technology. The company is now concentrating on detecting synthetic audio and understanding the intent and nuance behind spoken conversations.

Modulate Uses More Than 100 Specialised Voice Models

Modulate currently operates more than 100 smaller models divided broadly into two groups. Signal extraction models analyse characteristics such as vocal emotion, tone, language and whether a voice is synthetic. In contrast, analysis and detection models examine intent, potential scams and whether callers or AI systems are violating rules.

Huffman said smaller models reduce the need for specialised hardware and heavy computing resources. The architecture also allows Modulate to train models for new capabilities and have an orchestration system call the appropriate model when needed.

“Our insight into the voice AI space is that a lot of folks are doing transcription, but there’s not really any capability out there that gets the full nuance and full understanding of a conversation,” Huffman said.

Deepfake Detection and AI Agent Monitoring

Modulate works with a range of customers but has developed a particular focus on deepfake detection and alerting organisations such as call centres to suspected scams. Its technology can also monitor how AI agents interact with customers and check whether those agents follow compliance requirements in regulated industries.

The platform can operate alongside a company’s existing voice technology to analyse calls rather than replace the underlying communications system.

As businesses deploy more AI-powered customer service systems, Modulate is also trying to provide more detailed insight into why interactions succeed or fail. Huffman said simple positive or negative emotion labels can miss customer dissatisfaction because people may remain polite even when they are unhappy with an AI agent.

The company said it is also using its technology to monitor cyberattacks carried out through voice calls.

Modulate Plans to Expand Its Models and Private Deployments

Modulate currently employs about 40 to 45 people and plans to hire roughly 10 more employees in the coming months, primarily to strengthen its model development work.

The startup is also expanding its on-premises and on-device deployment capabilities, giving organisations additional options for processing sensitive voice data with greater privacy.