Sensory: On-Device AI for Voice, Sound, and Biometrics
Sensory helps hardware manufacturers integrate voice and biometric controls directly into devices. It is designed for companies requiring privacy and low power consumption without recurring SaaS fees.
At a glance
- Category
- Security
- Best for
- Hardware manufacturers, Embedded systems engineers, Consumer electronics developers, Automotive technology teams, Medical device designers
- Pricing
- Pricing was not clearly available from the provided evidence. However, the vendor states there are no recurring SaaS fees for its on-device solutions. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Hands-Free Device Activation, Private User Authentication, Environmental Sound Monitoring, In-Car Voice Control, Medical Device Interaction
- Official website
- sensory.com
Sensory is an embedded AI platform for manufacturers adding voice, sound, and vision capabilities to hardware. The technology processes data on the device, which means it does not require a cloud connection to function.
The platform is designed for hardware including automotive systems, consumer electronics, medical devices, and wearables. Local processing supports faster response times and keeps biometric data on the device.
Users can employ the platform for tasks such as detecting wake words or verifying identity via face or voice biometrics. The company provides VoiceHub, an online portal to help teams build custom voice models without writing code.
As this is an embedded SDK, buyers should confirm technical requirements for their specific hardware, such as MCU or DSP compatibility, and review licensing options with the vendor.
Key Features
Runs AI models locally on hardware to remove cloud dependency and support data privacy.
Supports pre-built, personalized, and secure wake words for hands-free device activation.
Provides speaker verification (text-dependent and independent) and face verification for user authentication.
Recognizes and classifies real-world environmental sounds directly on the device.
An online portal used to create custom wake words and voice control models.
Compact AI models designed to minimize memory footprint and power consumption on embedded chips.
Use Cases
Using wake words to trigger device responses in noisy environments.
Verifying identity through voice or face biometrics without sending data to a cloud server.
Detecting sounds such as alarms or glass breaks to trigger automated device alerts.
Supporting driver interactions through voice commands to help maintain focus on the road.
Enabling touch-free control for healthcare tools to support hygiene and privacy.
Best For
Pricing
Pricing was not clearly available from the provided evidence. However, the vendor states there are no recurring SaaS fees for its on-device solutions. Buyers should confirm current pricing on the vendor website.
FAQ
Yes, all processing is designed to run locally on the device, meaning it can function without a network connection.
Because the AI processes voice and biometric data on-device, the data does not leave the product, which helps reduce the risk of cloud exposure.
It is designed for hardware including cars, TVs, wearables, medical tools, and retail POS systems.
Source category: Security
Source subcategory: Identity & Access Management
