Preview
Real-time models that meet your users where they are.
Fast, private, offline inference. Now on your device.
Stream In, Stream Out
Built for streaming using our first-of-its-kind low-latency state space model stack.
Fully Private
Keep secrets right where they belong. No data ever leaves the inference hardware.
Own your inference
Deploy and run models on custom hardware, your way.
Available Models
Sonic On-Device
A voice for every device.
Rene On-Device
The fast on-device LLM.
Fast, private, offline inference with state space models.
State space models make it possible to build real-time on-device applications in ways that were previously impossible. Cartesia's models leverage our deep domain expertise to bring this technology to your users.
Constant memory usage
Run large models on small devices without hogging memory.
High throughput
Power many applications with the same model by taking advantage of our efficient inference stack.
Low latency
Stream data in real-time with our first-of-its-kind low latency state space model inference stack.
Long context
Access long-term knowledge with ease, making it possible to build complex applications.
Power efficient
Optimized for power-efficient, on-device deployments.
Stateful
Keep track of memory across multiple interactions and devices.
Explore Open-Source
We recently released Edge (Apache 2.0), a GitHub repository that brings together an ecosystem of multimodal models built on state space technology.
