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Modulate Raises $25 Million for Voice-Analysis Platform
Modulate raised $25 million in a round led by Future Ventures, with Hyperplane and Lakestar participating. The Boston startup plans to expand its voice-analysis platform, which detects deepfakes and scams and monitors AI agents for policy c
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“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, which is so important when you’re talking to another human being,”
Carter Huffman, co-founder, Modulate
Modulate raises $25 million for voice analysis
Boston-based Modulate has raised $25 million in a funding round led by Future Ventures, with existing investors Hyperplane and Lakestar also participating. The company is building a platform that analyzes audio for enterprises, offering transcription, emotional analysis, deepfake and AI-generated music detection, and policy checks for voice agents in regulated industries. The funding was announced on September 28.
Modulate’s pitch goes beyond converting speech into text. Its software examines vocal signals and conversational context to assess what a speaker may intend, whether a caller could be attempting a scam, and whether an AI agent follows rules during a customer interaction. The company also says its technology is used to monitor cyberattacks conducted through voice calls.
More than 100 models split the work
Modulate runs more than 100 models, according to co-founder Carter Huffman. One group extracts signals such as emotion, tone, language, and whether a voice is synthetic; another analyzes intent, including what a customer is trying to communicate or whether a caller may be breaking rules. An orchestrator selects models for the task.
Huffman told TechCrunch that smaller models reduce the need for specialized hardware and large amounts of computing power. He also said the company can train models for new capabilities and add them to the system. That design gives Modulate a way to expand its audio analysis without relying on a single model to handle every task.
From gaming tools to enterprise calls
Founders Mike Pappas and Carter Huffman started Modulate in 2017 after meeting as physics undergraduates at MIT. The company initially worked on voice modulation for gaming, then shifted toward voice-based moderation. As voice AI has grown, Modulate has focused on identifying synthetic audio and interpreting intent.
The company says its customer work includes flagging potential scams for call centers and reviewing how AI agents handle customer calls. For businesses, that means assessing more than whether a call sounds positive or negative: the system aims to identify dissatisfaction or policy violations that may not be obvious from a transcript or a simple sentiment score.
Hiring and private deployment plans
Modulate has between 40 and 45 employees and plans to add 10 people in the coming months, TechCrunch reported. The company expects those hires to strengthen model development. It is also working on deployments that run on-premises or on devices, which could give customers more control over where voice data is processed.
The round backs a product positioned between speech transcription, fraud detection, and oversight of automated customer-service systems. Modulate’s bet is that organizations need tools that interpret audio itself—not just the words a transcript captures—as they put more voice agents into customer-facing work.