July 7, 2026
news
SiMa.ai announced Palette Neat, an agent development environment for physical AI that generates application timelines ranging from months to days. The platform is purpose-built, open source, and features an integrated development environment that combines a physical AI execution library and an agent workflow layer for productivity-focused agent development.
When combined with the Modalix MLSoC SoM or its new PCIe companion card form factor, this solution is ideal for physical AI workloads across robotics, automotive, drones, industrial automation, aerospace and defense, smart vision, and healthcare.
“SiMa.ai is an AI software company that builds its own silicon,” said Krishna Rangasai, Founder and CEO of SiMa.ai. “Today, we are delivering the industry’s first agent development environment for physical AI. Together, Palette Neat and our pin-compatible SoM break down the existing GPU moat and enable developers to design and develop systems in plain English in days or even hours.”
New development paradigm:
- Using AI to deploy physical AI, designers can build complete systems using natural language commands, allowing users to focus on system-level differentiation in both new and legacy applications.
From months to days or hours:
- Agent environments autonomously build applications and map directly to silicon
- Preserve approximately 90 percent of legacy software investments by seamlessly reusing existing application code
Smooth platform migration:
- Palette Neat with pin-compatible SoM and new PCIe companion card breaks down existing GPU moat to extend physical AI
- Palette Neat Open Source: Visit GitHub.
- Palette Neat Documentation: Start with the Developer Center.
- Modalix MLSoC SoM: Read the complete hardware specifications.
- Upcoming Webinar: Register for the June 30th event on “Scaling Physical AI.”
For more information, please visit sima.ai.
Chad Cox is a production editor at Embedded Computing Design. His responsibilities focus on content creation, writing and editing, and article research and development. Chad is known for covering industry news and events and interacting with various industry leaders through in-house visits and online interviews. He is responsible for distributing news through our digital footprint and social media posts, creating advertising, and producing newsletters. Embedded Computing Design Daily.
He is well-versed in various aspects of industrial computing including edge AI, IoT, processing, security, open source, and more.
Chad graduated from the University of Cincinnati with a bachelor’s degree in cultural analysis literature and a master’s degree in education.
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