Modulate Raises $25M to Expand Voice AI Analysis and Deepfake Detection Platform
Modulate’s platform runs more than 100 AI models for emotion, synthetic-voice, scam and policy-violation analysis—not just transcription. Future Ventures led the $25 million round, joined by Hyperplane and Lakestar, in September 2026.
Boston-based voice intelligence startup Modulate has raised $25 million in new funding to expand its platform, which uses an array of small AI models to offer enterprises transcription, emotional analysis, deepfake detection, AI music detection, and policy enforcement for voice agents in regulated industries. The round was announced in September 2026.
The funding was led by Future Ventures, with participation from Hyperplane and Lakestar. According to PitchBook data, Modulate had raised $41 million at a $170 million valuation prior to this round.
Modulate was founded in 2017 by Mike Pappas and Carter Huffman, who met as MIT physics undergraduates. The company initially focused on voice modulation for gaming before shifting toward voice-based moderation tools. It now operates more than 100 models organized into two categories: signal extraction models that assess vocal emotion, tone, language, and synthetic voice detection; and analysis models that evaluate caller intent, rule violations, and potential scam activity.
Co-founder Carter Huffman said the platform is designed to go beyond basic transcription. “There’s not really any capability out there that gets the full nuance and full understanding of a conversation, which is so important when you’re talking to another human being,” he told TechCrunch.
Huffman also noted that standard emotion metrics can be misleading. “Many times people will be polite even to AI agents or bots, and they won’t come across as angry, but they’ll be very dissatisfied,” he said, suggesting that surface-level sentiment analysis may miss meaningful signals about call quality.
Modulate’s technology is used by call centers to flag potential deepfake calls, monitor AI agent compliance in regulated industries, and detect cyberattacks conducted via voice. The company said its use of smaller models reduces the need for specialized hardware and makes it easier to add new capabilities over time.
Modulate currently employs 40 to 45 people and plans to hire around 10 more to support model development. The company is also working to expand its on-premises and on-device deployment options to address enterprise privacy requirements.