Modulate Raises $25M to Fight Deepfake Voices With Next-Generation Audio AI
Modulate raised $25 million to scale audio AI that detects deepfake voices and conversation fraud.
Modulate raised $25 million, led by Future Ventures and joined by Hyperplane and Lakestar, bringing its total funding to $60 million for audio AI aimed at deepfake voice fraud and impersonation. Its Velma platform uses an Ensemble Listening Model that coordinates more than 100 specialized audio models and claims up to 1,000 times greater inference efficiency. A 316-million-parameter detector reported a 1.104% average equal error rate, about 98.9% accuracy, across 14 Speech DF Arena datasets as of August 19, 2026, with streaming verdicts after 2.5 seconds. Modulate says it inspects more than 10 million audio hours monthly and has processed over 600 million hours overall.
- Future Ventures led the $25 million round; total funding is now $60 million.
- Velma detects fraud, harassment, and synthetic speech during live calls.
- A 316M-parameter detector posted a 1.104% equal error rate on 14 datasets.
- Modulate says it analyzes more than 10 million audio hours each month.
- Vendors
- Modulate
- Products
- Velma
- Organizations
- ModulateFuture VenturesHyperplaneLakestar
- AI models
- VelmaEnsemble Listening Model
From the original article
3 min read at cybersecuritynews.com
Modulate has secured $25 million in funding to expand its audio-native AI platform as enterprises confront deepfake voice fraud, impersonation, and unsafe automated conversations. Future Ventures led the round, joined by Hyperplane and Lakestar, bringing the company’s funding total to $60 million. The investment will accelerate AI research, engineering, developer tools, partnerships, and deployment options […]
By Guru Baran · cybersecuritynews.com
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