MosChip Supports EMASS’s RISC-V Edge AI SoC
December 05, 2025
News
MosChip Technologies is now supporting EMASS’s RISC-V based ECS-DoT Edge AI System-on-Chip (SoC). It integrates dual neural accelerators and 4MB of on-chip memory. The SoC facilitates real-time, milliwatt-class inference for vision, audio, and sensor workloads without dependance on the cloud. The ultra-low-power chip provides always-on AI capabilities for drones, wearables, healthcare trackers, and industrial monitoring systems.
“This collaboration demonstrates the impact of pairing innovative SoC architecture with experienced silicon engineering support,” said Srinivasa Rao Kakumanu, CEO & Managing Director at MosChip Technologies. “EMASS defined a highly differentiated architecture, and MosChip was pleased to support its silicon implementation through our physical design and product engineering services.”
EMASS set goals for performance and efficiency, wanting up to 93 percent enhanced processing with a target of 90 percent lower energy usage when compared to current AI solutions. MosChip provided design expertise for the silicon implementation in 22nm technology contributing to physical design flows, tape-out coordination, packaging, assembly, evaluation hardware, and validation activities.
“MosChip played an important role in supporting the silicon implementation of our architecture,” said Mark Goranson, CEO at EMASS. “Their contributions in physical design, product engineering, and validation complemented our internal efforts and helped us bring a robust SoC to our OEM partners.”
For more information, visit nanoveu.com/emass and moschip.com.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
