EMASS Emerges from Stealth to Redefine Edge AI

EMASS, a Nanoveu subsidiary emerging from stealth with next-gen semiconductor technology, has introduced the ECS-DoT, their edge AI system-on-chip (SoC).The new design enables always-on, milliWatt-scale intelligence for edge devices, eliminating the need for cloud-based computation. With this chip, the company is targeting the extreme edge of the network, an area occupied by compact and lightweight connected devices powered by small batteries. Application examples include medical wearables and sensor modules operating adjacent to the sensors they support.

The ECS-DoT is designed with four megabytes of on-board SRAM, enabling AI computations to run efficiently on edge and IoT devices. By processing data locally, the chip dramatically reduces latency and power consumption, opening the door for always-on intelligence in wearables, drones and predictive maintenance-dependent systems.

“We are thrilled to bring EMASS out of stealth and introduce the ECS-DoT to market, redefining what’s possible at the edge,” said Mark Goranson, CEO, EMASS. “OEMs have told us that power efficiency is the defining factor for edge AI, and ECS-DoT delivers on that promise while enabling always-on, zero-lag intelligence directly on devices.”

Compared with leading competitors, ECS-DoT operates up to 93% faster while consuming 90% less energy, all while supporting true multimodal sensor fusion on-device, eliminating the need for cloud processing.

Key ECS-DoT metric comparison

Metric	EMASS ECS-DoT	Competitor A	Competitor B
Power per Inference	0.1-5 mW	5-100 mW	30-150 mW
Latency (ms)	<10	10-15	10-100
Energy per Inference	1-10 µJ	30-150 µJ	100-2,000 µJ
On-Device Memory	Up to 2MB SRAM + 2MB MRAM/RRAM	Up to 1MB SRAM	2MB SRAM with optional 2MB MRAM
Multimodal Sensor Fusion	Yes, milliwatt-scale	Limited	Limited
Always-On Viable?	Yes	No	No