SiMa.ai enables a new class of conversational machines with real-time Physical AI — running speech, language, and multimodal reasoning fully on-device on a single chip under 10W.
Partner Highlight
Bring private, zero-latency conversational capabilities directly to the edge.
How conversational AI evolves from infotainment to true AI assistants at the edge.
Input
Output
The foundational model that enables reasoning in machines.
The multimodal interface for machines to integrate and execute tasks.
Modalix MLSoC runs the entire conversational pipeline natively — one chip, full stack, at 25-200 TOPS under 10W, at scale and effortlessly.
Experience real-time conversational AI running speech, language, and reasoning directly at the edge.
How It Works
Modalix MLSoC runs the complete conversational pipeline on-device, combining audio preprocessing, speech recognition, Gemma language reasoning, application logic, and text-to-speech on a single low-power platform.
Key Benefits
Use Cases and Demos
Our purpose-built architecture delivers unparalleled performance, enabling robust conversational capabilities without cloud dependencies.
Palette Neat software flexibility delivers across current and next generation hardware. Saving time and cost in production.
Parallel compute for CNNs, VLMs, LLMs, and next generation AI models all on one device.
Industry leading latency. Query to response less than 80 milliseconds, delivering natural conversations.
Parallel compute in the smallest power envelope. Under 10W enabling sub-second LLM processing and response.