Cartesia builds real-time multimodal AI models for voice applications, with production systems spanning text-to-speech and speech-to-text. The company emerged from Stanford's AI Lab, where the founding team - led by CEO Karan Goel - pioneered work on State Space Models (SSMs) before transitioning to commercial infrastructure. Their technical approach combines model innovation with systems engineering, focusing on the latency, throughput, and operational constraints that define production voice AI.
The core product line includes Sonic, a text-to-speech model designed for emotive, human-like output, and Ink, a recently launched speech-to-text system purpose-built for real-time voice applications. Both systems address the fundamental trade-offs in voice AI: achieving low-latency inference while maintaining quality at scale. The company's technical domains span foundation model development, real-time multimodal intelligence, and developer tooling - infrastructure that runs where users are rather than requiring server-side processing.
Cartesia's engineering stack runs on Python, Go, and TypeScript, supporting developers building voice interfaces that demand sub-second response times and reliable performance under production load. The team's research background in SSMs informs their approach to model efficiency and scalability, though the company now focuses on shipping production systems rather than pure research. Their stated mission centers on ubiquitous, interactive intelligence - systems that handle the operational complexity of real-time voice while remaining accessible to developers building conversational interfaces.