Last updated 06-28-2026
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SiMa.ai
SiMa.ai is a co-optimized hardware and software platform for building physical AI applications that run on the edge. It pairs the Modalix MLSoC chip with Palette, an integrated development environment that compiles ONNX models into hardware-ready binaries and ships them to robots, vehicles, drones, and industrial systems where cloud latency is not an option.
Palette Neat is the agentic layer on top of Palette SDK. It was built from scratch for physical AI rather than adapted from legacy ML frameworks, and it collapses typical application timelines from months to days. Developers work in a containerized environment with model compilation, runtime APIs, and deployment tools wired together in one workflow.
The Modalix MLSoC delivers 50 TOPS at under 10 watts with native support for CNNs, vision transformers, LLMs, and multimodal models. SiMa.ai targets teams building perception, robotics, automotive, retail, healthcare, and defense applications that need deterministic on-device inference without external accelerators or glue chips.
Palette Neat cuts physical AI app timelines from months to days
Compiles 200+ ONNX and Hugging Face models to .sima binaries in one API call
Modalix MLSoC hits 50 TOPS under 10W with BF16, INT8, and INT16 inference
Pin-compatible SoM drops into existing NVIDIA Jetson Orin carrier boards
Shadow inference on hardware validates latency before binary emit
Model Browser benchmarks CNNs, VLMs, and LLMs against Modalix silicon
Co-designed silicon and software stack removes glue chips and external accelerators from edge deployments.
Palette SDK compiles ONNX models with mixed-precision quantization and under 1% accuracy delta.
Modalix SoM is pin-compatible with NVIDIA Jetson Orin boards for drop-in upgrades.
Open-source Palette Neat environment on GitHub with a full Developer Center.
Hardware purchases required; no cloud-only or free software tier for production deployment.
Chip-down and PCIe card pricing require contacting sales rather than self-serve checkout.
Palette Neat and SDK target Modalix silicon, not general-purpose GPU or CPU hardware.
What is Palette Neat on SiMa.ai?
Palette Neat is SiMa.ai's agentic development environment for physical AI. It combines an execution library and agent workflow layer in a containerized setup so developers can compile models, build pipelines, and deploy to Modalix hardware in days instead of months.
What hardware does SiMa.ai sell?
SiMa.ai offers the Modalix MLSoC chip, a Modalix SoM starting at $449, a half-height PCIe card, and a Modalix DevKit priced at $1,499 that includes a carrier board, SoM, PSU, and 500GB NVMe storage with Palette software pre-installed.
Which AI models does SiMa.ai support?
SiMa.ai's Palette SDK compiles ONNX-compatible models from ResNet, YOLO, and SegFormer to GenAI models like Gemma, Qwen, and Llama. The Model Browser lists benchmarked CNN, VLM, and LLM performance on Modalix hardware.
How do I get started with SiMa.ai development?
SiMa.ai provides a Developer Center at developer.sima.ai with documentation and tooling. Palette SDK source code is on GitHub at github.com/sima-neat, and dev kits can be purchased at devkit.sima.ai.
What industries does SiMa.ai target?
SiMa.ai builds for industrial robotics, drones, automotive, government, smart retail, and healthcare. The platform targets edge deployments where cloud round-trips are too slow for real-time physical AI.
Where is SiMa.ai headquartered?
SiMa.ai is headquartered at 333 W. San Carlos St., Suite 1100, San Jose, CA 95110. The company was founded in 2018 and has offices in eight countries including Germany, India, Israel, Japan, Korea, Poland, and Taiwan.