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Design and sell ultra-low-power AI processors and MEMS microphones for always-on, on-device machine learning in battery-powered consumer electronics and industrial devices.

Builds power-efficient AI chips and software platforms that let devices run machine learning models at the edge without sending data to the cloud.

Mythic designs energy-efficient AI inference chips using analog compute-in-memory architecture, competing with Nvidia on power efficiency rather than raw performance.

Designs low-power AI processor chips for edge devices—phones, cameras, robots, vehicles, and retail systems—that run AI models locally without sending data to the cloud.

Nota AI provides software that compresses and optimizes AI models so they can run efficiently on edge devices like cameras, smartphones, and industrial sensors, rather than requiring cloud servers.

A software platform that lets developers build and deploy machine learning models to run on small, low-power devices like sensors and microcontrollers, rather than in the cloud.

Designs and sells energy-efficient AI accelerator chips and systems for running AI models at the edge and in data centers.

Armada provides portable data centers, edge computing software, and satellite connectivity management for deploying AI and real-time data processing in remote and industrial environments.