Edge AI Companies Directory

Advanced Micro Devices, Inc.

NASDAQ

AMD

Ryzen AI processors integrate a dedicated NPU (XDNA architecture, acquired via Xilinx) for on-device AI in laptops, positioning AMD in the AI PC race alongside Intel and Qualcomm.

Alphabet Inc.

NASDAQ

GOOGL

Designs its own Tensor SoCs for Pixel phones with a dedicated Edge TPU for on-device AI (Gemini Nano), and publishes MediaPipe/TensorFlow Lite tooling widely used by third-party edge AI developers.

Amazon.com, Inc.

NASDAQ

AMZN

Echo and Fire devices increasingly run wake-word detection and some voice processing on-device rather than round-tripping to the cloud; Amazon also designs its own silicon (Inferentia, Graviton), primarily for data-center AI inference.

Ambarella, Inc.

NASDAQ

AMBA

A pure-play edge AI vision company — its CVflow architecture chips power on-device computer vision and AI inference in security cameras, drones, robots, and ADAS systems without requiring cloud connectivity.

Ambiq is a pure-play edge AI chip company — its entire business is built around delivering AI compute at dramatically lower power consumption than conventional designs, enabling always-on AI in battery-constrained devices like smartwatches and hearing aids.

Anker Innovations Technology Co., Ltd.

Shenzhen Stock Exchange

300866

Eufy markets its cameras and robot vacuums around fully local, on-device AI processing — no cloud upload required for face/pet recognition or navigation mapping — positioned explicitly as a privacy-first alternative to cloud-dependent competitors.

Apple Inc.

NASDAQ

AAPL

Apple Intelligence runs largely on-device via the Neural Engine in Apple Silicon (A-series and M-series chips), with Private Cloud Compute used only when on-device processing isn't sufficient — a privacy-focused approach to edge AI.

Arlo Technologies, Inc.

NYSE

ARLO

Arlo cameras run on-device AI for person, package, and vehicle detection to cut down false alerts and reduce reliance on continuous cloud video processing, though full video history and analysis still typically runs through Arlo's cloud subscription service.

Arm Holdings plc

NASDAQ

ARM

Nearly every smartphone NPU (Apple, Qualcomm, Samsung, MediaTek) runs on an Arm-based CPU core, making Arm's architecture foundational to on-device AI across the mobile ecosystem; Arm also publishes its own Ethos NPU IP for licensees.

Autel's drones run on-device obstacle avoidance, subject tracking, and flight stabilization AI, positioning the company as one of the more prominent DJI alternatives in the consumer and prosumer drone market.

Broadcom Inc.

NASDAQ

AVGO

Designs custom AI accelerator ASICs for hyperscaler customers and networking silicon that underpins AI data center infrastructure, with less direct consumer edge AI exposure than pure-play chip makers.

DJI (SZ DJI Technology Co., Ltd.)

Private

Private

DJI drones run substantial on-device AI for real-time obstacle avoidance, subject tracking, and autonomous flight path planning, processed entirely onboard since flight control can't tolerate cloud round-trip latency.

ecobee (Generac Holdings Inc.)

NYSE

GNRC

ecobee's smart thermostats use on-device sensors and local occupancy/scheduling intelligence to optimize heating and cooling, with newer models integrating home energy management and standby generator coordination.

Honeywell International Inc.

NASDAQ

HON

Honeywell's commercial building automation systems increasingly use on-device sensor AI for occupancy detection and energy optimization — a separate business from the consumer Honeywell Home product line.

Intel Corporation

NASDAQ

INTC

Core Ultra processors include a dedicated NPU for on-device AI, positioned as the x86 foundation for Microsoft's Copilot+ PC AI PC category alongside AMD and Qualcomm silicon.

iRobot Corporation

Private (delisted from NASDAQ Jan 2026)

Private

Roomba robots use on-device SLAM (simultaneous localization and mapping) and object recognition to navigate and avoid obstacles autonomously, with no cloud connectivity required for core cleaning operation.

Lattice Semiconductor Corporation

NASDAQ

LSCC

Lattice's low-power FPGA architecture is positioned specifically for edge AI inference in sensor fusion, video/vision processing, and industrial automation, offering reconfigurable hardware acceleration where fixed-function chips are too rigid and GPUs draw too much power.

Aqara's smart home sensors and hubs run local automation logic on-device via its hub hardware, enabling instant response times for triggers like motion detection and door sensors without a round trip to the cloud.

Meta Platforms, Inc.

NASDAQ

META

Ray-Ban Meta smart glasses run on-device AI for real-time translation, object recognition, and voice assistant features, positioning Meta as a leading consumer wearable edge AI hardware maker outside of phones.

Microsoft Corporation

NASDAQ

MSFT

Created the "Copilot+ PC" hardware category, requiring an NPU capable of 40+ TOPS for on-device Windows AI features like Recall and Live Captions, driving a new AI PC refresh cycle across the Windows OEM ecosystem.

Mobileye Global Inc.

NASDAQ

MBLY

Mobileye's EyeQ chips process camera and sensor data directly within the vehicle in real time to detect obstacles, pedestrians, and traffic signs — one of the most widely deployed automotive edge AI systems, running in thousands of vehicle models.

NVIDIA Corporation

NASDAQ

NVDA

The Jetson platform (Orin series) brings on-device AI to robotics and embedded systems, RTX GPUs with Tensor Cores accelerate local AI workloads on consumer PCs, and the DRIVE platform powers on-device inference for autonomous vehicles.

Ondas' "drone-in-a-box" systems (Optimus, Scout, Raider) are highly automated, AI-powered platforms capable of continuous autonomous operation with minimal human intervention, combining edge AI flight control with dedicated private wireless data links.

Ouster's lidar sensors generate the raw 3D point-cloud data that on-device perception systems in autonomous vehicles and robots process locally in real time — a foundational sensing layer for edge AI in physical and spatial applications.