US-based SiMa.ai has secured an undisclosed investment from Micron Technology to scale production-ready physical AI systems. The companies will deepen collaboration on integrated compute and memory architectures for edge applications such as robotics and autonomous systems.
The investment aims to improve performance-per-watt and accelerate deployment timelines for real-world intelligent systems. SiMa.ai has already integrated Micron’s LPDDR5X memory into its Modalix MLSoC (machine learning system-on-chip) platform to support high-bandwidth, power-efficient workloads at the edge.
“Physical AI places extraordinary demands on memory, and Micron’s LPDDR5X technology is the ideal memory foundation for our Modalix MLSoC,” Krishna Rangasayee, Founder and CEO of SiMa.ai, said in a statement. “This hardware synergy allows our customers to deploy complex AI at the edge with ease.”
Physical AI systems require memory architectures that balance bandwidth and power efficiency. SiMa.ai said its Modalix MLSoC uses a memory hierarchy to support workloads such as large language models and vision language models at the edge.
The companies aim to address hardware-software co-optimisation challenges to maximise efficiency and reduce time-to-market. SiMa.ai’s system-on-modules, built with Micron memory, allow customers to move from prototype to production within existing platforms.
Andrew Byrnes, Director of Venture Capital at Micron, added that SiMa “delivers performance at low power and scales across a wide variety of physical AI applications.”
The investment also strengthens SiMa.ai’s ecosystem, which includes Arm, Cerence AI, L&T Technology Services, Synopsys, Cisco, TSMC, and Wind River. The company said Micron’s supply chain relationships will support broader adoption of its platform.
SiMa.ai said the collaboration positions its Modalix platform as a validated solution for physical AI deployments across robotics, automotive, industrial automation, aerospace, and healthcare sectors.
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