AI That Listens, Sees, and Understands — On the Edge

On-Device Voice & Sound AI for Embodied Robots

Give embodied robots natural voice, sound awareness, and biometrics that run fully on-device so they can interact safely, privately, and intelligently in the real world.​

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Smarter Robots, Safer Real-World Interactions

Embodied robots need more than motion. They need multimodal perception and communication that works reliably in noisy, dynamic environments. Sensory’s embedded AI platform gives embodied robots custom wake words, conversational speech recognition, sound awareness, and biometrics, all processed locally for low latency and strong privacy.​

Using Sensory’s suite of AI voice and vision technologies, robotics teams can build agents that understand commands, react to events, and recognize users without relying on the cloud. On-device language models and hybrid options allow robots to combine fast, local understanding with selective, controlled access to larger LLMs when needed.​

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Key Features for Embodied Robotics Teams

On-device voice, sound, and biometric AI engineered for embodied robots that must be responsive, power-efficient, and trustworthy.​

1

Always-on wake words and commands

Branded or personal hotwords that wake robots instantly.

2

Conversational speech recognition and NLU

On-device STT and language models for natural voice, with optional cloud LLMs.

3

Environmental sound understanding with SoundID

SoundID for alarms, calls for help, glass breaking, and mechanical issues.​

4

Face and voice biometrics for personalization

User recognition and access control without passwords or phones.​

5

Edge-optimized, battery-friendly performance

Compact models for CPUs, NPUs, and MCUs in mobile, power-limited robots.

6

Privacy-first, offline-capable design

On-device audio and biometrics for private, reliable operation anywhere.​

Why Embodied Robotics Teams Choose Sensory

Trusted, production-proven embedded AI that helps embodied robots listen, understand, and respond without giving up privacy, performance, or control.​

Proven in real-world robotic companions

Powers robots like ElliQ for wake words, personalization, and ambient awareness.​

Multimodal perception from one partner

Voice, sound, and biometrics delivered in one integrated SDK.​

Low-latency, on-device responses

Local inference so robots react in real time, even without connectivity.​

Custom wake words and vocabularies

Branded, domain-specific phrases tailored to each robot.​

Future-ready for embodied LLMs

On-device perception that slots into embodied LLM planning and dialog.​

Embodied Robot Use Cases

Sensory supports social, service, and industrial robots operating in homes, workplaces, and public spaces.​

  • Companion and social robots– Natural conversation, user recognition, and sound awareness in the home.​
  • Service and hospitality robots– Branded, multilingual voice for guest requests and check-in flows.​
  • Healthcare and elder-care robots– Voice, biometrics, and SoundID with sensitive data kept local.​
  • Logistics and industrial mobile robots– Robust commands and sound detection in loud warehouses and factories.
  • Educational and consumer robots– Interactive lessons and games on low-cost, resource-limited hardware.​
  • Embodied LLM Platforms– Perception (wake word, STT, NLU, biometrics, SoundID) feeding LLM-driven autonomy.
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Trusted by
Global Innovators

See how leading brands use Sensory’s on-device AI to deliver faster, safer, and more intuitive user experiences at scale.

Andrew Doyle
VP for Frontline Workers
Jabra

“Sensory’s technology has exceeded our high standards for accuracy, speed, and efficiency. By enabling hands-free control of key functions through voice commands, we’re boosting productivity and streamlining workflows for retail staff. This allows our frontline workers to focus on what matters most – delivering exceptional customer service.”

Ephrem Chemaly
General Manager & VP of the Automotive Business Unit
MediaTek

“By combining MediaTek’s expertise in generative AI technology with Sensory’s strengths in on-device voice AI, the collective efforts of our companies enable significant strides in providing next-level entertainment and security in vehicles powered by MediaTek Dimensity Auto.”

Michael Anderson
CEO
Nextbase

“Sensory’s TrulyHandsfree technology is a key component in making the Piqo not just compact and powerful, but also incredibly user-friendly. This partnership enhances our ability to provide unmatched value and safety to our customers.”

Sascha Prueter
Chief Product Officer
Telly

“The smartest TV ever deserves the smartest approach to privacy. With Telly’s use of Sensory’s on-device speech-to-text and voice technologies, we are able to bring extremely fast, low-latency voice commands to the living room.”

Cynthia Lee
Lead Product Manager
Zoom

“Zoom is passionate about making collaboration easier, but we always put our customer’s privacy and security front and center. Sensory’s technology checked all the boxes for us: accurate, fast and private…”

Experience Sensory
Technology Live

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Frequently Asked Questions

Everything you need to know about Sensory for embodied robots

Yes. Sensory’s wake words, STT, NLU, SoundID, and biometrics are designed to run entirely on-device, so robots can respond instantly and remain operational even when offline.​

Sensory uses compact, efficient models optimized for CPUs, NPUs, and microcontrollers, enabling always-listening wake words and speech understanding within tight power and memory budgets.​​

Yes. Sensory Custom Wake Word and Sensory Personalized Wake Word allow robots to respond to unique brand phrases or user-defined hotwords, improving engagement and reducing false activations.​​

Sensory SoundID lets robots detect and classify key sounds such as alarms, glass breaking, distress calls, or mechanical anomalies, helping them act as more aware, safety-conscious agents in homes and workplaces.​

Sensory provides C/C++, Android, Linux, and embedded integrations that fit into common robotics and edge AI stacks, and its STT and NLU outputs can feed directly into your existing planning, control, or LLM-based dialog layers.