Enterprise AI, in production.
    Four desks, one beat.

    Retail · News

    Voice AI That Feels Like a Conversation with Cartesia’s Sonic Transforming Real-Time Interactions

    Our vision is to bring high-powered models to devices, allowing them to interact and respond with genuine immediacy and a touch of humanity.

    Last updated

    Voice AI That Feels Like a Conversation with Cartesia’s Sonic Transforming Real-Time Interactions

    Two Stanford AI Lab alumni Karan Goel and Albert Gu founded Cartesia in 2023 as a transformative force in the voice AI industry, creating groundbreaking real-time, multimodal intelligence solutions built on their proprietary State Space Models (SSM) architecture. Cartesia’s mission is to redefine the boundaries of AI applications through efficiency and low latency, focusing particularly on real-time text-to-speech and voice transformation.

    Revolutionizing Voice AI with Sonic

    Cartesia’s flagship product, Sonic, is a next-generation text-to-speech engine delivering real-time, ultra-natural voice output in under 100 milliseconds—an unparalleled achievement in the realm of interactive applications. Sonic’s ultra-low latency, combined with its nuanced audio quality, positions it as a vital asset for industries where immediacy and engagement are critical. "Sonic is a really fast text-to-speech engine," Goel explains, underscoring its appeal to sectors as diverse as gaming, virtual assistants, and high-interactivity customer support. Sonic opens new possibilities for seamless AI-driven conversations, allowing for a fully immersive experience that mirrors human interaction more closely than any comparable technology.

    "With Sonic," Goel continues, "we’re not just creating voices; we’re designing experiences that feel alive. The dream is to have millions of users interacting in real-time with these models, where every response is instant and lifelike."

    Expanding Sonic's Capabilities

    Cartesia’s ambition extends beyond just voice generation. Sonic incorporates emotionally responsive elements, enabling voice output that goes beyond words to capture the subtleties of human expression. Goel candidly shares the company’s objective to bridge the gap between synthetic and human voices. "Most text-to-speech systems fail the audio Turing test. We’re constantly refining Sonic so that it captures a range of human emotions and nuances. That’s what will make interactions truly meaningful."