Modulate Secures $25M for Advanced Voice AI Models Amid Rising Deepfake Threats

• •Modulate raised $25 million to enhance voice AI models for detecting deepfakes.
• •The company's models analyze emotional intent and can flag fraud attempts in real-time.
• •Modulate's deepfake detection model boasts 98.9% accuracy on benchmark data.

Voice AI startup Modulate has raised $25 million to enhance its audio-native models aimed at detecting deepfakes and analyzing emotional intent in conversations. The funding will help expand its offerings to developers and industries such as healthcare and customer service. Modulate's models can identify signs of fraud, such as deepfake voices, and monitor voice agents for compliance and performance. The company has processed over 600 million hours of audio, with its deepfake detection model achieving 98.9% accuracy. The funding round was led by Future Ventures, with previous investors Hyperplane and Lakestar participating. Modulate aims to provide tools that allow developers to integrate audio intelligence without extensive hardware requirements. The startup's technology is increasingly relevant as deepfake technology becomes more accessible, raising concerns about voice-based scams and impersonation.