Sensory’s broad portfolio of voice, biometric, and sound identification SDKs gives product teams a single, flexible AI stack that fits everything from in-car systems to medical devices, PCs, and smart watches.
A modular, API-driven architecture that lets you mix, match, and scale the right capabilities for every device and market.
Step 1: Select the Core Capabilities
Product teams choose from wake word, command-and-control, speech-to-text, biometrics, and sound ID modules based on target use cases and user journeys.
Step 2: Configure Wake Words & Models
Using tools like VoiceHub, teams define custom wake words, intents, and grammars, adjust model sizes, and choose languages that fit memory budgets and UX goals.
Step 3: Integrate Across Platforms
SDKs and sample project code are available to support major operating systems and silicon platforms, allowing engineers to reuse core logic across microcontrollers, application processors, and cloud-connected devices.
Step 4: Connect to LLMs and Cloud Services
Sensory’s on-device components handle wake word, local recognition, and biometrics, then hand off transcripts or intents to LLMs or domain services for richer conversational experiences when desired.
Step 5: Tune, Deploy, and Scale
Models and thresholds are tuned for accuracy, latency, and power, then deployed across product lines and regions with consistent APIs and configuration patterns.
This modular approach lets teams add or swap capabilities—like sound ID or biometrics—later without re-architecting their entire stack or changing platforms.
Faster launches, less integration risk, and a clear path from today’s features to tomorrow’s AI roadmap.
Real results. Real stories. Powered by Sensory AI.
Interact with real-time AI demos and find out what sets us apart.
Everything you need to know about Sensory’s portfolio and deployment flexibility.
Sensory provides wake word, command-and-control, embedded STT, face and voice biometrics, and environmental sound identification SDKs for a wide range of devices.
Developers can create many types of branded or user-defined wake words and flexible command sets in multiple languages, each with configurable tuning for accuracy, memory, and power.
Sensory supports dozens of languages, major operating systems and silicon architectures, from mobile and desktop to embedded MCUs and DSPs.
Yes. The same APIs and models can be deployed across many SKUs and products, with configuration options that adapt to memory, CPU, and connectivity constraints.
On-device wake word, speech, and biometrics modules feed text or intents into LLM-based services, enabling responsive, natural VoiceChat-style experiences without sacrificing privacy or power efficiency.