Spring Silicon builds full-stack compute infrastructure—from compilers to ASICs—designed specifically for physical AI applications like robots, drones, and autonomous vehicles. Its vertically integrated stack targets edge inference rather than scaling down datacenter or consumer hardware, aiming to deliver performance and efficiency for intelligent machine autonomy.
Funding
Funding not disclosed
Founders
Product
Problem
Robots, drones, autonomous vehicles, and heavy industrial systems lack compute hardware tailored to their real-time, physical constraints. Existing solutions are either scaled-down datacenter systems or repurposed consumer chips, which fail to deliver the performance, latency, and power efficiency required for reliable edge inference in dynamic environments.
Solution
Spring Silicon is building a full-stack compute platform specifically for physical AI, spanning compilers, software, and custom ASIC hardware. The company designs its infrastructure from the ground up for edge inference, ensuring every layer—from low-level kernels to silicon—is co-optimized for the demands of autonomous machines. This vertical integration allows workloads to run more efficiently than generic alternatives, with software and hardware engineered together to maximize real-world performance. The result is a purpose-built stack that powers next-generation machine autonomy across robotics, drone, and vehicle platforms.
Target Audience
Primary customers are companies developing autonomous robots, drones, and vehicles, along with heavy-industry operators requiring dedicated edge-inference compute for intelligent machine decision-making.
Features
- Custom ASIC design tailored for edge inference workloads in physical AI
- Full software stack including compilers, embedded systems, and operating-system kernels
- Co-optimized hardware and software architecture developed in-house across the entire compute stack
- Focus on real-time performance and power efficiency for autonomous machines rather than repurposed consumer or datacenter parts