Real time multimodal intelligence for every device
Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. We're pioneering the model architectures that will make it possible.
Out Now Cartesia Sonic
The fastest, ultra-realistic generative voice API.
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Research
Based: Simple linear attention language models balance the recall-throughput tradeoff
Sabri Eyuboglu, Simran Arora, Michael Zhang
Mamba-3B-SlimPJ: State-space models rivaling the best Transformer architecture
Albert Gu*, Tri Dao*
About
Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a fundamental new primitive for training large-scale foundation models. Over the past four years, we’ve built the theory behind SSMs and scaled it up to achieve state-of-the-art results in modalities as diverse as text, audio, video, images, and time-series data.
Meet the team