Applied Brain Research: Edge AI Development Platform
Applied Brain Research helps companies integrate real-time voice and sensor processing into hardware. It is designed for teams building devices that require offline AI to support privacy or operate with low power.
At a glance
- Category
- Software Development
- Best for
- Companies building AI hardware, OEMs evaluating low-power AI chips, Product teams developing AR/VR devices, Robotics developers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- AR/VR Wearables, Smart Home Appliances, Robotics, Health and Fitness Wearables
- Official website
- appliedbrainresearch.com
Applied Brain Research is an edge AI platform that combines state space models with purpose-built silicon. This technology is designed to process data locally on the device, which supports lower latency and privacy for the end user.
The platform is intended for developers and OEMs creating AI-enabled hardware. It focuses on streaming audio and time-series data for devices that need to process voice or biological signals in real time without a constant internet connection.
Buyers can access the technology through developer kits and an early access program. Because this involves specialized hardware (the TSP1 chip), buyers should confirm how the hardware integration fits into their product design and power requirements.
Key Features
A chip designed to run state space models at the edge with power consumption under 30 mW.
AI models based on the Legendre Memory Unit (LMU) designed for computational efficiency in edge devices.
Supports streaming speech-to-text, text-to-speech, and speech-to-intent understanding locally on the device.
Processes biosignals and time-series data from the body in real time.
Supports live translation between languages without requiring a cloud connection.
Hardware boards and SDKs available through an early access program for product evaluation.
Use Cases
Integrating real-time speech transcription and translation into glasses or headsets without cloud reliance.
Implementing local voice control and intent detection for home devices.
Adding speech understanding and text-to-speech for machine interaction.
Continuous processing of voice and biosignals using low power to support battery life.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It provides edge AI solutions using state space models and the TSP1 chip to enable real-time, low-power AI processing directly on devices without needing the cloud.
It is designed for resource-constrained devices such as AR/VR headsets, smart home appliances, robotics, and wearables that require always-on voice or biosignal processing.
Interested companies can apply for the Early Access Program to obtain TSP1 developer boards, which include hardware, demo apps, and a Host SDK.
Source category: Software Development
Source subcategory: AI Development Platform
