{"slug": "modulate-accelerates-enterprise-voice-ai-with-twilio-ventures-investment-and-new", "title": "Modulate accelerates enterprise voice AI with Twilio Ventures investment and new real-time audio intelligence capabilities", "summary": "Modulate, the frontier audio AI company, announced new investments from Twilio Ventures and Kayak co-founder Paul English alongside updates to its Velma audio intelligence platform that let enterprises identify AI callers in real time. Modulate's latest models cut median synthetic-voice identification time from 2.25 seconds to 1.6 seconds while holding greater than 99.1% detection accuracy on real-world AI and human voice calls, and the technology analyzes underlying audio without relying on model-provider watermarks. The investments follow Modulate's previously announced $25 million round led by Future Ventures, as CEO and co-founder Carter Huffman said call operators \"must be able to recognize what's happening in those conversations and respond appropriately while the interaction is still ongoing.", "body_md": "*Hollywood & Games returns to Los Angeles on December 10, bringing together 250+ executives, founders, investors and decision-makers at the Grammy Museum's Clive Davis Theater. Explore the business of entertainment's biggest partnership through independent, journalist-led conversations on IP, investment, storytelling and new opportunities across gaming and Hollywood.*\n\n**Space is limited.**[Secure your seat today.](https://events.gamesbeat.com/hollywood26/)\n[Modulate](https://gamesbeat.com/modulate-raises-25m-for-native-ai-based-frontier-audio/), the frontier audio AI company, has announced new investments from Twilio Ventures and technology entrepreneur Paul English, co-founder of Kayak, alongside significant advancements to its Velma audio intelligence platform. The updates enable enterprises to identify AI callers in real time and gain greater visibility into the performance of AI voice agents. The investments follow Modulate’s recently announced $25 million in funding led by Future Ventures, and come as the company expands its technology to address growing demand for enterprise.\n\nAlready putting that funding to work, Modulate has released new updates to its Velma audio intelligence platform designed to address two converging trends: a growing flood of calls placed by personal AI voice agents, such as Meta’s Muse, and the continued rise of synthetic voice and deepfake threats. The updates also give enterprises greater visibility into the increasingly complex conversations taking place between humans and AI.\n\nModulate’s latest models have reduced the median time to identify a synthetic voice from 2.25 seconds to 1.6 seconds, while maintaining greater than 99.1% detection accuracy on real world AI and human voice calls. The technology is designed to identify synthetic callers quickly enough for enterprises to route, flag or respond to AI-generated calls while the interaction is still underway.\n\n“We’re reaching a point where AI agents will be calling businesses, talking to customers, and interacting with other AI agents every day,” said Carter Huffman, CEO and co-founder of Modulate in a press release. “Call operators – human or AI agent – must be able to recognize what’s happening in those conversations and respond appropriately while the interaction is still ongoing. We’re focused on delivering real solutions to these challenges, ready to deploy at scale and within economics that make sense for businesses.”\n\nAs autonomous voice agents become easier to deploy, enterprises increasingly need to distinguish between human callers and synthetic agents in real time. Contact centers and other voice systems may want to identify AI-generated calls in order to route them differently, apply different policies, track their behavior, or determine whether additional verification is warranted.\n\nModulate’s synthetic voice detection technology analyzes the underlying audio without relying on watermarks from individual model providers, enabling it to identify synthetic speech from a wide range of generation systems, including newer speech-to-speech and full-duplex voice models.\n\nThe same capability can be combined with Velma’s broader conversation intelligence for fraud and security applications. By analyzing additional signals including intent, manipulation, tone, and conversational behavior, Velma can help enterprises distinguish legitimate AI agents from potentially fraudulent or suspicious interactions.\n\n“As personal voice agents become more common for everyday tasks like booking a dinner reservation, knowing that a voice is synthetic on its own is no longer a useful metric,” Huffman said in the same press release. “An AI agent making a legitimate appointment and a deepfake impersonating an employee may both use synthetic speech. Businesses need enough context to know how to handle each interaction while it’s happening, whether they’re managing a single phone line or a global customer support operation.”\n\nModulate is also expanding Velma’s role as an audio-native observability layer for companies deploying AI voice agents, providing deeper insight into agent performance, conversation quality, and where interactions may be breaking down.\n\nThis month, the company added more than a dozen new audio-native signals to Velma, giving developers and enterprises greater visibility into the quality of AI-led conversations. These capabilities can help identify issues such as response timing, audio quality and conversational misunderstandings that cannot be reliably measured from transcripts alone.\n\nTraditional agent analytics largely evaluate what was said. Velma also analyzes the underlying audio and how a conversation unfolds, including emotion, cadence, hesitation, emphasis and changes in conversational behavior. These insights help enterprises evaluate agent performance and identify opportunities to improve the customer experience.\n\nTwilio Ventures and Paul English are the latest investors to support Modulate’s next stage of growth. Twilio Ventures’ investment brings support from a major communications infrastructure provider as [Modulate](https://www.modulate.ai/) expands its technology for identifying synthetic callers and monitoring AI voice agent performance. The additional capital will support continued AI and machine learning research, product development, developer adoption, partnerships and expanded deployment options for Modulate’s audio-native models.\n\nTwilio Ventures and Paul English join the group of investors supporting Modulate’s next stage of growth following the company’s recently announced financing led by Future Ventures, with participation from Hyperplane and Lakestar.", "url": "https://wpnews.pro/news/modulate-accelerates-enterprise-voice-ai-with-twilio-ventures-investment-and-new", "canonical_source": "https://gamesbeat.com/modulate-accelerates-enterprise-voice-ai-with-twilio-ventures-investment-and-new-real-time-audio-intelligence-capabilities/", "published_at": "2026-11-10 14:00:00+00:00", "updated_at": "2026-11-10 15:53:18.072331+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-products", "ai-safety", "ai-agents"], "entities": ["Modulate", "Twilio Ventures", "Paul English", "Kayak", "Velma", "Future Ventures", "Carter Huffman", "Meta"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/modulate-accelerates-enterprise-voice-ai-with-twilio-ventures-investment-and-new", "markdown": "https://wpnews.pro/news/modulate-accelerates-enterprise-voice-ai-with-twilio-ventures-investment-and-new.md", "text": "https://wpnews.pro/news/modulate-accelerates-enterprise-voice-ai-with-twilio-ventures-investment-and-new.txt", "jsonld": "https://wpnews.pro/news/modulate-accelerates-enterprise-voice-ai-with-twilio-ventures-investment-and-new.jsonld"}}