Alternatives to Tinyedge

Inference is the primary workload, not an add-on. An inference-first runtime built on Zephyr RTOS for MCUs with NPUs.

Full-stack edge AI solutions enabling on-device AI inference with integrated hardware and software.

Velaura AI develops ultra-low power silicon and software technologies for AI infrastructure, focusing on energy efficiency for data centers and physical AI applications.

Develops low-energy AI processors with spatial dataflow architecture for extended device operation.

Develops advanced humanoid and quadruped robots with onboard AI for consumer and industrial applications.

Expedera provides scalable Neural Processing Unit (NPU) semiconductor IP for edge AI inference.

Fabless semiconductor company designing and licensing graphics IP for embedded systems.

AI computing company providing programmable edge AI hardware and software solutions.

AI chip startup focused on energy-efficient inference acceleration, acquired by AMD.

Designs and manufactures ultra-low power microcontrollers and processors for IoT and wearable devices.

AI vision software for embedded processors, enabling high accuracy with minimal resources.

Breakthrough speaker-in-chip technology for ultra-compact, high-quality audio experiences.

Develops AI chips for edge computing, enabling AI processing on devices.

AI chipmaker

Privacy-first, cloud-free AI for smart glasses.

Canadian fabless semiconductor company specializing in low-power analog AI compute-in-memory chip technology for edge devices.

Logarithmic computing for AI inference.

Oculi is a provider of AI-based sensor processors.

Reduces computer-vision AI cost and power consumption for edge and cloud deployments.

Develops power-efficient AI processors for automotive ADAS and connected devices.