Cartesia Raises $27 Million to Build the Next Generation of Real-Time AI Models
Summary
Cartesia plans to build on the success of Sonic with a long-term roadmap that includes developing multimodal AI models capable of ingesting and processing different inputs such as text, audio, video, images, and time-series data, with the goal of creating real-time intelligence that can reason over massive contexts across a wide range of applications. By building the next wave of foundation models with long-term memory and low latency, Cartesia aims to transform industries ranging from healthcare to robotics to gaming, paving the way for ubiquitous, interactive, and real-time AI available to anyone, on any device. Cartesia is led by a group of Stanford researchers that includes Goel, his former labmates Albert Gu (named one of Times 100 most influential people in AI), Arjun Desai, and Brandon Yang, along with their former professor Chris Ré. Theyre joined by a diverse and well-rounded product team that brings experience from companies like DoorDash, Salesforce, Meta, Scale AI, Microsoft, Google Brain, and Zoom, ensuring that Cartesia is equipped to deliver real-world value to businesses across a range of industries. Led by a group of Stanford researchers and engineers, Cartesia is at the forefront of AI innovation, delivering highly efficient, scalable solutions that power real-time applications across industries like healthcare, robotics, gaming, and more.