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Always On2026-07-07T08:51:36-07:00

Real-Time Intelligence that Never Sleeps

BrainChip’s Akida delivers continuous, ultra-low-power AI
processing
for battery-constrained devices with low latency
wake-up and uncompromising privacy.

What is Always-On AI

Continuous, real-time intelligence for battery-constrained devices
without “wake-up” lag or high idle power.

The Challenge

Awake Drains Power; Asleep Misses Events

  • Keeping the main processor awake drains battery fast
  • Letting the processor sleep can cause missed critical events
  • Edge devices face a power vs. responsiveness trade-off
  • Always-on sensing is difficult with traditional architectures

The Solution

Akida Listens so the Main Processor Can Sleep

  • A dedicated Akida core runs inference continuously at microwatt power
  • The main processor stays fully off until needed
  • Akida wakes the system instantly when a meaningful event is detected
  • No lag, no missed events, and less frequent battery replacement

Core Benefits of Always-On AI

Zero Wake-Up Latency

Instant response to meaningful events, with no delay from waking the main processor.

Milliwatt Power Envelope

Continuous sensing and inference at ultra-low power for battery-powered devices.

Secure by Architecture

No cloud connection means no attack surface. Security is an outcome of how Akida is built.

Where Always-On AI Matters

Wearables

Always-on health tracking, voice commands, and gesture detection — all day, without charging.

Smart Home

Always-listening voice assistants, local presence detection, and smart appliance interfaces — no cloud, no delay.

MedTech

Continuous vital sign monitoring, seizure prediction, and neural interfaces — at implant-grade power.

Industrial IoT

Predictive maintenance, anomaly detection on motor vibration, and remote asset monitoring at battery-powered sensors.

Build with BrainChip Akida

Explore Akida products and the use cases they enable.

Always-On AI in MedTech & Wearables

Onsor built AI-enabled smart glasses that continuously analyze real-time sensor data to predict epileptic seizures before they occur. Leveraging AKD1500 Edge AI co-processor, Onsor smart glasses enables ultra-low power, always-on health monitoring.

G-Brain is developing neural implants for Parkinson’s disease patients — enabling real-time brain signal interpretation within the ultra-strict power constraints required for implantable medical devices.

AkidaTag is ideal for collecting EEG signals during motion to develop a CNN model to classify movement states (walking, resting, and eating).” – Dr. Sung

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