SiMa.ai cuts physical AI deployment from months to days with agentic developer tooling
Artificial intelligence chip startup SiMa Technologies Inc. today launched Palette Neat, a purpose-built agentic AI development environment for creating applications that connect the physical world to AI models. The new tool can be paired readily with the company's Modalix MLSoC system-on-module or the company's new PCIe companion card, allowing developers to rapidly build apps that can [...
Key Takeaways
- SiliconANGLE UPDATED 12:00 EDT / JUNE 16 2026 AI SiMa.
ai cuts physical AI deployment from months to days with agentic developer tooling by Kyt Dotson Artificial intelligence chip startup SiMa Technologies Inc.
- "Today, we are delivering the industry's first agentic development environment for Physical AI.
" Rangasayee explained that using Palette Neat, today's developers will be able to take their knowledge and simply speak or type their ideas directly to the AI agent, which will take their abstract thoughts and build them directly into low-level compute code.
- SiMa said this lets them reuse application code and preserve 90% of their legacy software investment from other platforms without needing to rewire everything.
Providing developers with alternatives to Nvidia in edge AI The company's Modalix SoM can run multiple large language models concurrently alongside vision and sensor models, all under 10 watts.
- Most developers learn to build for the Nvidia ecosystem because most cloud-based GPU hardware is CUDA-based, and Nvidia already holds almost 39% of edge AI, and Qualcomm Inc.
Developers tend to gravitate towards the tooling that they already know and what they have on hand.
- " SiMa is betting that developers will want the opportunity to have their software and models run on different hardware that can manage different opportunities for scalability, performance-per-watt, thermal envelopes and dynamic demands.
Stats & Key Facts
- #SiMa said this lets them reuse application code and preserve 90% of their legacy software investment from other platforms without needing to rewire everything.
- #Providing developers with alternatives to Nvidia in edge AI The company's Modalix SoM can run multiple large language models concurrently alongside vision and sensor models, all under 10 watts.
- #Most developers learn to build for the Nvidia ecosystem because most cloud-based GPU hardware is CUDA-based, and Nvidia already holds almost 39% of edge AI, and Qualcomm Inc.
SiliconANGLE UPDATED 12:00 EDT / JUNE 16 2026 AI SiMa. ai cuts physical AI deployment from months to days with agentic developer tooling by Kyt Dotson Artificial intelligence chip startup SiMa Technologies Inc. today launched Palette Neat , a purpose-built agentic AI development environment for creating applications that connect the physical world to AI models.
The new tool can be paired readily with the company's Modalix MLSoC system-on-module or the company's new PCIe companion card, allowing developers to rapidly build apps that can see, learn, adapt and interact with the real world. This is the vision of physical AI , where artificial intelligence models are used to power robotics, autonomous cars, drones, industrial machines, aerospace platforms, smart vision and more. ai is an AI software company that builds its own silicon," said founder and Chief Executive Krishna Rangasayee.
"Today, we are delivering the industry's first agentic development environment for Physical AI. " Rangasayee explained that using Palette Neat, today's developers will be able to take their knowledge and simply speak or type their ideas directly to the AI agent, which will take their abstract thoughts and build them directly into low-level compute code. This eliminates months of labor traditionally spent wiring up or porting and integrating applications onto new silicon.
For more details please read the original article at SiliconANGLE AI.
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