SiMa.ai is a next-generation AI computing platform company expanding the future of Physical AI.
Built on purpose-designed system-on-chips (SoCs) for edge AI computing and a software-first platform approach, SiMa.ai delivers optimized solutions that enable fast and efficient deployment of complex Physical AI applications.
With industry-leading performance per watt and an intuitive software experience, SiMa.ai is accelerating AI adoption across a wide range of industries, including robotics, automotive, industrial automation, aerospace & defense, smart vision, and healthcare.
Through its purpose-built, integrated AI platform, SiMa.ai connects everything from data processing to intelligent decision-making in real-world environments, delivering innovative solutions for the era of Physical AI.
The Silicon Behind Physical AI
Purpose-built MLSoC delivers 50 TOPS,
sub-10W for vision, perception, and autonomous systems.
Palette Neat
Months of work.
Collapsed to days/hours.
Our software platform features Palette Neat, an agentic environment that collapses complex application timelines from months to days. The open source, purpose-built environment combines an execution library and agent workflow layer for fast development.
Seamless Migration
Seamless migration in a single prompt
Agentic Development
Build a conversational Al pipeline in minutes
Autonomous Deployment
Low latency, on device object detection built and deployed in minutes
WORKFLOW
How it all works.
From ONNX model to production binary on SiMa.ai's Modalix MLSoC — four steps, no surprises.
01
Develop
02
Compile
03
Run
04
Device
Coding Agent and Dev Tools
Developers (human + agentic) write, debug, and orchestrate projects.
Palette Neat Agentic Environment
Containerized environment that builds, optimizes, and packages models for the Modalix MLSoC.
Palette Neat Library
Runtime that orchestrates inference on both host PC and the MLSoC.
Modalix MLSoC
0
MLSoc
MODALIX
GET STARTED!
Build the next generation
of physical AI.
Get started at our Developer Center and begin shipping production-grade physical AI applications.