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Sensory

Full company profile

uuid0006bq4

Namestring
Sensory
Legal namestring
Sensory, Inc.
Websiteurl
sensory.com
Company typeenum
Private
Founded yearint
1994
Descriptiontext

Sensory, Inc., founded in 1994 by Todd Mozer and headquartered in Santa Clara, California, develops on-device AI for voice, sound, and biometrics that runs entirely on edge hardware without cloud dependency. Its product portfolio spans wake word detection (TrulyHandsfree, Smart Wakewords, Personalized, and Secure variants), on-device speech-to-text in 40+ languages with model sizes from 5.3MB to 183MB, phrase-spotted commands, micro language models and custom grammars, environmental sound identification (SoundID), text-independent and text-dependent speaker verification, face verification with liveness detection, and the VoiceHub self-service developer platform. Models are optimized for microcontrollers, DSPs, and NPUs at sub-1mA wake word power and 6-16ms biometric inference latency.

The company sells exclusively through a B2B technology licensing model to OEMs, ODMs, and semiconductor partners, with revenue generated via per-unit royalties and one-time licensing fees tied to device volume and feature scope. Technology is pre-integrated on 60+ chip platforms (Qualcomm, MediaTek, Samsung, NXP, STMicroelectronics, Ceva, Infineon, Ambiq) and deployed in over 3 billion devices globally across automotive, mobile/PC/tablet, TV/home electronics, wearables/hearables, medical devices/healthcare, retail/POS, LLM voice agents, and embodied robotics customers. Named enterprise customers include Samsung, LG, Google, Microsoft, Huawei, Motorola, Nokia, GoPro, Lenovo, Garmin, Honda, Bentley, Volkswagen, Harman, Stryker, Edwards LifeSciences, Fujifilm, Philips, Peloton, Honeywell, Panasonic, and Mastercard. Pricing is quote-based and not publicly disclosed; contracts are multi-year and negotiated.

Sensory operates globally through silicon-vendor partnerships and direct enterprise sales, supported by an event-driven GTM at CES, MWC, Embedded World, CONNECTIONS, and NRF. The company appears to be founder-owned with no disclosed institutional or PE backing since a $400,000 seed in 2001 from Manatt Venture Fund and Norwest; one tuck-in acquisition (vocalize.ai, 2019) signals selective inorganic expansion. Headcount is in the 51-100 range.

Short descriptiontext

Sensory, Inc. is a privately held Santa Clara-based AI company that licenses on-device voice, sound, and biometric recognition technology (wake words, speech-to-text, speaker verification, face verification, sound identification) to OEMs, ODMs, and semiconductor partners across consumer electronics, automotive, healthcare, wearables, and IoT.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersSanta Clara, United States
HQ citystring
Santa Clara
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
embedded voice AI, on-device speech recognition, wake word technology, speaker verification, edge biometrics
Industry3 codes
1On-Device Speech & Audio AI (wake word, ASR, enhancement)
CodeHDAAAJAFPrimaryYes
2Wake Word & Keyword Spotting
CodeHDAAAFAJPrimaryNo
3Speech Enhancement & Noise Suppression (AEC/NR)
CodeHDAAAFAGPrimaryNo
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Embedded Voice AI Software
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model1 record
1Technology Licensing
TypeLicensing Royalties
Description

Sensory licenses its embedded voice, sound, and biometric AI technology to OEM, ODM, and semiconductor companies. Licensing covers wake words, speech-to-text, speaker verification, face verification, and SoundID. Revenue is generated through one-time licensing fees and per-unit royalties, with pricing varying by volume, device type, and feature set. The company has shipped technology in over 3 billion devices.

sensory.com
Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Pricing details1 tier
1Enterprise licensing - custom quote-based pricing
ModelOtherBilling cadenceMulti-year contract
Notes

Licensing agreements are negotiated directly with customers based on device volume, deployment scope, and feature requirements. No public pricing tiers available.

sensory.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 3 records shown
1VoiceHub
Description

Self-service platform for building custom wake words and word-spotted commands.

sensory.com
+2 more records
Core offering1 text field

Sensory licenses embedded on-device AI technology for voice, sound, and biometrics to OEM, ODM, and semiconductor companies. Its product portfolio includes wake word detection (TrulyHandsfree), speech-to-text, phrase-spotted commands, natural language understanding via Micro Language Models, sound identification (SoundID), and biometric authentication (speaker and face verification). The VoiceHub platform allows developers to create custom wake words and commands without ML expertise. All processing runs entirely on-device with ultra-low power consumption, supporting 40+ languages and deployment across 3+ billion devices.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • 93% task completion rate vs 55% for competitor in third-party microwave voice control test
+4 more records
Product overview1 text field

Sensory offers a comprehensive on-device voice and AI platform consisting of multiple integrated products. The core portfolio includes wake word technology (TrulyHandsfree) with variants for standard, smart (context-aware), personalized, and secure (biometric) deployment; speech recognition via Speech-to-Text and Phrase Spotted Commands; natural language understanding through Micro Language Models and Custom Grammars; sound identification via SoundID; and biometric authentication including Text-Independent and Text-Dependent Speaker Verification plus Face Verification. The VoiceHub platform serves as a self-service development portal for creating custom wake words and commands. All products share a common architecture optimized for ultra-low power, on-device processing with no cloud dependency, supporting 40+ languages and integration across major chip platforms. The company positions itself as the edge AI specialist powering billions of devices for major global brands.

Product and service12 records
1Sensory Smart Wake Word
CategoryWake Word Technology
Description

Context-aware on-device wake word AI with flexible wake phrase placement, adaptive thresholds based on noise levels, and conversational follow-up support without requiring repeat wake words. Designed for OEMs building natural voice-activated consumer devices.

2Sensory Wake Word
CategoryWake Word Technology
Description

Ultra-low power, on-device wake word detection with ~15-20KB RAM footprint supporting 40+ languages. Pre-built wake words for fast OEM deployment across microcontrollers, DSPs, NPUs, and application processors.

3Sensory Personalized Wake Word
CategoryWake Word Technology
Description

User-defined wake words trained in under 15 seconds (4 repetitions) running fully on-device. Language and accent agnostic with optional voice biometric security for personalized OEM voice experiences.

4Sensory Secure Wake Word
CategoryWake Word Technology
Description

Combines wake word detection with built-in speaker verification, ensuring devices respond only when the correct user says the trigger phrase. Phrase-matched security with low-power always-listening architecture.

5Sensory Speech-to-Text
CategorySpeech Recognition
Description

Real-time on-device transcription with model sizes ranging from 5.3MB to 183MB, supporting 40+ languages. Runs on mobile operating systems, bare-metal chip deployments, and hybrid cloud configurations with reduced bandwidth.

6Sensory Phrase Spotted Commands
CategorySpeech Recognition
Description

Recognizes multiple predefined voice commands simultaneously and triggers immediate actions with ultra-low latency. Noise-robust on-device performance for real-world and far-field use cases.

7Sensory Micro Language Models and Custom Grammars
CategoryNatural Language Understanding
Description

Compact natural language understanding engines for embedded systems interpreting user intent locally without servers. Custom Grammars enable precise recognition of structured commands with task completion rates of 93% vs 55% for competitors.

8Sensory SoundID
CategorySound Identification
Description

Detects and classifies 16+ environmental sounds in real time including alarms, sirens, baby cries, glass breaks, coughing, and snoring. Runs fully on-device with multi-stage detection and optional neural revalidation.

9Sensory Text-Independent Speaker Verification
CategoryBiometric Authentication
Description

Authenticates users based on vocal characteristics from any spoken phrase without requiring a fixed passphrase. Models optimized for CPU at 0.6M-2.5M parameters with 6-16ms inference latency.

10Sensory Text-Dependent Speaker Verification
CategoryBiometric Authentication
Description

Ties user identity to a specific spoken phrase with two-stage verification combining lightweight first-pass matching and neural revalidation. Provides high-accuracy phrase-matched security on-device.

11Sensory Face Verification
CategoryBiometric Authentication
Description

Fast on-device facial authentication with millisecond speed, anti-spoofing liveness detection, and works across varied lighting and camera types. Pairs with voice verification for dual-biometric sign-in.

12VoiceHub
CategoryDevelopment Platform
Description

Self-service online portal for building custom wake words and voice control models without coding. Supports multiple chip architectures, flexible model sizes, and dozens of languages.

Scale indicator7 records

Each record includes

Type, Value, Description, Source

Partnership7 partners
Strategic tierMajorTypeTechnology or IntegrationAnnounced on2026-03-10
Description

Sensory featured at STMicroelectronics' AI Partner Wall at Embedded World 2026 (Hall 4A/4A-148). Demonstrates how Sensory Speech-to-Text runs on everyday home electronics using ST hardware platforms.

Strategic tierMajorTypeTechnology or IntegrationAnnounced on2026-03-02
Description

Collaboration to optimize Sensory Micro speech recognition and biometric engine for Qualcomm's Snapdragon Wear Elite wearable chipset. Enables wake word detection and voice commands on next-generation wearables using Qualcomm's Low Power Island architecture and dedicated eNPU. Samsung confirmed Galaxy Watch will use Snapdragon Wear Elite platform.

Strategic tierMajorTypeTechnology or IntegrationAnnounced on2026-01-22
Description

Sensory's wake word technology integrated into NXP's edge AI portfolio. Partnership expands voice AI capabilities for software-defined vehicles and IoT devices using NXP processors.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-01-06
Description

Sensory provides voice biometrics technology for Durin's MagicKey multi-factor authentication system for home entry. The product combines UWB proximity detection, on-device facial recognition, and voice biometrics. Sensory's technology enables secure voice-based user verification in the smart home access market.

Strategic tierMajorTypeTechnology or IntegrationAnnounced on2026-01-06
Description

Sensory's TrulyHandsfree technology integrated into Ceva's NeuPro-Nano NPU ecosystem for ultra-low-power voice activation in battery-constrained consumer electronics including smart home, automotive, and wearable applications.

Strategic tierMajorTypeTechnology or IntegrationAnnounced on2026-01-05
Description

Integration of Sensory's TrulyHandsfree voice activation technology into Ceva's NeuPro-Nano neural processing unit (NPU). Enables ultra-low power, always-on voice interfaces for battery-constrained consumer devices including TWS earbuds, smartwatches, smart remotes, and home appliances. All processing occurs on-device ensuring privacy without cloud connectivity.

Strategic tierCoreTypeTechnology or Integration
Description

Combining MediaTek's generative AI technology with Sensory's on-device voice AI for next-level entertainment and security in vehicles powered by MediaTek Dimensity Auto. Ephrem Chemaly (GM & VP Automotive) leads the partnership.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Picovoice builds on-device voice AI (wake words, ASR, speech-to-intent) that runs across MCU/CPU/GPU/DSP with similar privacy-first positioning. It is the closest direct substitute to Sensory's TrulyHandsfree and on-device STT for embedded developers.

TypeDirect peer
Description

Syntiant develops ultra-low-power neural decision processors and edge audio/vision models targeting always-on wake word, sound detection and biometrics on battery-constrained devices. Its ultra-low-power edge AI focus and audio model portfolio overlap directly with Sensory's wake word and SoundID offerings.

TypeBroad incumbent
Description

Cerence is a large, established AI provider for automotive in-cabin experiences spanning voice, vision, and biometrics. While it owns the incumbent automotive voice stack, Sensory is increasingly positioning its smaller, on-device engine as a complementary or alternative layer for the same OEMs.

TypeDirect peer
Description

Audio Analytic builds on-device AI for environmental sound recognition (alarms, glass break, baby cry) deployed in smart home, security, and IoT. It directly competes with Sensory's SoundID product line in the embedded sound awareness category.

TypeDirect peer
Description

Pindrop, through its ID R&D acquisition, offers text-independent and text-dependent speaker verification plus facial biometrics for on-device authentication. It is a direct competitor to Sensory's Text-Independent/Text-Dependent Speaker Verification and Face Verification products.

TypeBroad incumbent
Description

SoundHound provides a broader voice AI platform (including automotive voice assistants and SoundHound Chat AI) covering more of the full stack. While not exclusively on-device, it competes with Sensory at the OEM voice experience level for automotive and IoT customers.

TypeEmerging player
Description

Fluent.ai offers embedded, language-agnostic speech understanding that runs on small devices offline. It overlaps with Sensory's Micro Language Models and Custom Grammars for compact, multilingual on-device command recognition.

TypeDirect peer
Description

Retune DSP provides voice control and keyword spotting algorithms deployed in smart speakers, hearables and IoT. It is a comparable embedded voice AI vendor with similar target customers in low-power consumer devices.

TypeEmerging player
Description

Ambiq builds ultra-low-power semiconductors and reference AI models (including a voice frontend) for always-on wearables and IoT. It is a partial competitor and ecosystem partner to Sensory, as it sometimes bundles voice capabilities with its low-power MCUs.

TypeDirect peer
Description

Paravision provides on-device face recognition and liveness AI for access control, mobile, and automotive identity. It competes directly with Sensory's Face Verification module in the on-device face biometrics category.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers64 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment8 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile7 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration3 records

Each record includes

Title, Type, Description, Source

AI capability7 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature11 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance2 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors2 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A1 record

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Sensory

Embedded Voice AI Softwaresensory.com

Sensory, Inc. is a privately held Santa Clara-based AI company that licenses on-device voice, sound, and biometric recognition technology (wake words, speech-to-text, speaker verification, face verification, sound identification) to OEMs, ODMs, and semiconductor partners across consumer electronics, automotive, healthcare, wearables, and IoT.

What Sensory does

Sensory, Inc., founded in 1994 by Todd Mozer and headquartered in Santa Clara, California, develops on-device AI for voice, sound, and biometrics that runs entirely on edge hardware without cloud dependency. Its product portfolio spans wake word detection (TrulyHandsfree, Smart Wakewords, Personalized, and Secure variants), on-device speech-to-text in 40+ languages with model sizes from 5.3MB to 183MB, phrase-spotted commands, micro language models and custom grammars, environmental sound identification (SoundID), text-independent and text-dependent speaker verification, face verification with liveness detection, and the VoiceHub self-service developer platform. Models are optimized for microcontrollers, DSPs, and NPUs at sub-1mA wake word power and 6-16ms biometric inference latency.

The company sells exclusively through a B2B technology licensing model to OEMs, ODMs, and semiconductor partners, with revenue generated via per-unit royalties and one-time licensing fees tied to device volume and feature scope. Technology is pre-integrated on 60+ chip platforms (Qualcomm, MediaTek, Samsung, NXP, STMicroelectronics, Ceva, Infineon, Ambiq) and deployed in over 3 billion devices globally across automotive, mobile/PC/tablet, TV/home electronics, wearables/hearables, medical devices/healthcare, retail/POS, LLM voice agents, and embodied robotics customers. Named enterprise customers include Samsung, LG, Google, Microsoft, Huawei, Motorola, Nokia, GoPro, Lenovo, Garmin, Honda, Bentley, Volkswagen, Harman, Stryker, Edwards LifeSciences, Fujifilm, Philips, Peloton, Honeywell, Panasonic, and Mastercard. Pricing is quote-based and not publicly disclosed; contracts are multi-year and negotiated.

Sensory operates globally through silicon-vendor partnerships and direct enterprise sales, supported by an event-driven GTM at CES, MWC, Embedded World, CONNECTIONS, and NRF. The company appears to be founder-owned with no disclosed institutional or PE backing since a $400,000 seed in 2001 from Manatt Venture Fund and Norwest; one tuck-in acquisition (vocalize.ai, 2019) signals selective inorganic expansion. Headcount is in the 51-100 range.

Sensory firmographics

Firmographics
Name
Sensory
Legal name
Sensory, Inc.
Website
https://sensory.com
Company type
Private
Founded year
1994
Operating status
Operating
Headcount range
51–100 employees
Short description
Sensory, Inc. is a privately held Santa Clara-based AI company that licenses on-device voice, sound, and biometric recognition technology (wake words, speech-to-text, speaker verification, face verification, sound identification) to OEMs, ODMs, and semiconductor partners across consumer electronics, automotive, healthcare, wearables, and IoT.
Ownership category
akta.pro rank

Sensory industry classification

Industry
Product category
Embedded Voice AI Software
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
On-Device Speech & Audio AI (wake word, ASR, enhancement) (HDAAAJAF)
akta.pro secondary industries
Wake Word & Keyword Spotting (HDAAAFAJ), Speech Enhancement & Noise Suppression (AEC/NR) (HDAAAFAG)

Keywords

  • Embedded voice AI
  • On-device speech recognition
  • Wake word technology
  • Speaker verification
  • Edge biometrics

Where Sensory is headquartered

Location

Headquarters

HQ city
Santa Clara
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Sensory business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure

Revenue model

  1. Technology Licensing: Sensory licenses its embedded voice, sound, and biometric AI technology to OEM, ODM, and semiconductor companies. Licensing covers wake words, speech-to-text, speaker verification, face verification, and SoundID. Revenue is generated through one-time licensing fees and per-unit royalties, with pricing varying by volume, device type, and feature set. The company has shipped technology in over 3 billion devices.

Pricing tiers

ModelBillingPrice
OtherMulti-year contractEnterprise licensing - custom quote-based pricing

Go-to-market motion3 records

Distribution channels4 records

Marketing channels8 records

Sensory product offering

Product offering

Core offering

Sensory licenses embedded on-device AI technology for voice, sound, and biometrics to OEM, ODM, and semiconductor companies. Its product portfolio includes wake word detection (TrulyHandsfree), speech-to-text, phrase-spotted commands, natural language understanding via Micro Language Models, sound identification (SoundID), and biometric authentication (speaker and face verification). The VoiceHub platform allows developers to create custom wake words and commands without ML expertise. All processing runs entirely on-device with ultra-low power consumption, supporting 40+ languages and deployment across 3+ billion devices.

Product overview

Sensory offers a comprehensive on-device voice and AI platform consisting of multiple integrated products. The core portfolio includes wake word technology (TrulyHandsfree) with variants for standard, smart (context-aware), personalized, and secure (biometric) deployment; speech recognition via Speech-to-Text and Phrase Spotted Commands; natural language understanding through Micro Language Models and Custom Grammars; sound identification via SoundID; and biometric authentication including Text-Independent and Text-Dependent Speaker Verification plus Face Verification. The VoiceHub platform serves as a self-service development portal for creating custom wake words and commands. All products share a common architecture optimized for ultra-low power, on-device processing with no cloud dependency, supporting 40+ languages and integration across major chip platforms. The company positions itself as the edge AI specialist powering billions of devices for major global brands.

Differentiator

Problem solved

Functional benefit

Brands

  • VoiceHub: Self-service platform for building custom wake words and word-spotted commands.
  • TrulyHandsfree
  • SoundID

Products and services

  • Sensory Smart Wake Word Context-aware on-device wake word AI with flexible wake phrase placement, adaptive thresholds based on noise levels, and conversational follow-up support without requiring repeat wake words. Designed for OEMs building natural voice-activated consumer devices.
  • Sensory Wake Word Ultra-low power, on-device wake word detection with ~15-20KB RAM footprint supporting 40+ languages. Pre-built wake words for fast OEM deployment across microcontrollers, DSPs, NPUs, and application processors.
  • Sensory Personalized Wake Word User-defined wake words trained in under 15 seconds (4 repetitions) running fully on-device. Language and accent agnostic with optional voice biometric security for personalized OEM voice experiences.
  • Sensory Secure Wake Word Combines wake word detection with built-in speaker verification, ensuring devices respond only when the correct user says the trigger phrase. Phrase-matched security with low-power always-listening architecture.
  • Sensory Speech-to-Text Real-time on-device transcription with model sizes ranging from 5.3MB to 183MB, supporting 40+ languages. Runs on mobile operating systems, bare-metal chip deployments, and hybrid cloud configurations with reduced bandwidth.
  • Sensory Phrase Spotted Commands Recognizes multiple predefined voice commands simultaneously and triggers immediate actions with ultra-low latency. Noise-robust on-device performance for real-world and far-field use cases.
  • Sensory Micro Language Models and Custom Grammars Compact natural language understanding engines for embedded systems interpreting user intent locally without servers. Custom Grammars enable precise recognition of structured commands with task completion rates of 93% vs 55% for competitors.
  • Sensory SoundID Detects and classifies 16+ environmental sounds in real time including alarms, sirens, baby cries, glass breaks, coughing, and snoring. Runs fully on-device with multi-stage detection and optional neural revalidation.
  • Sensory Text-Independent Speaker Verification Authenticates users based on vocal characteristics from any spoken phrase without requiring a fixed passphrase. Models optimized for CPU at 0.6M-2.5M parameters with 6-16ms inference latency.
  • Sensory Text-Dependent Speaker Verification Ties user identity to a specific spoken phrase with two-stage verification combining lightweight first-pass matching and neural revalidation. Provides high-accuracy phrase-matched security on-device.
  • Sensory Face Verification Fast on-device facial authentication with millisecond speed, anti-spoofing liveness detection, and works across varied lighting and camera types. Pairs with voice verification for dual-biometric sign-in.
  • VoiceHub Self-service online portal for building custom wake words and voice control models without coding. Supports multiple chip architectures, flexible model sizes, and dozens of languages.

Quantifiable outcome

  • 93% task completion rate vs 55% for competitor in third-party microwave voice control test
  • +4 more outcomes

Companies that use Sensory

Customer profile

Named customers64 records

Segments8 records

Ideal customer profiles7 records

Sensory technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability7 records

Feature11 records

Sensory partnerships and signals

Strategic signal

Partnerships

Seven partnerships are on record, tiered major and core.

  • STMicroelectronicsmajorTechnology or Integration · 10 March 2026Sensory featured at STMicroelectronics' AI Partner Wall at Embedded World 2026 (Hall 4A/4A-148). Demonstrates how Sensory Speech-to-Text runs on everyday home electronics using ST hardware platforms.
  • QualcommmajorTechnology or Integration · 2 March 2026Collaboration to optimize Sensory Micro speech recognition and biometric engine for Qualcomm's Snapdragon Wear Elite wearable chipset. Enables wake word detection and voice commands on next-generation wearables using Qualcomm's Low Power Island architecture and dedicated eNPU. Samsung confirmed Galaxy Watch will use Snapdragon Wear Elite platform.
  • NXP SemiconductorsmajorTechnology or Integration · 22 January 2026Sensory's wake word technology integrated into NXP's edge AI portfolio. Partnership expands voice AI capabilities for software-defined vehicles and IoT devices using NXP processors.
  • DurincoreTechnology or Integration · 6 January 2026Sensory provides voice biometrics technology for Durin's MagicKey multi-factor authentication system for home entry. The product combines UWB proximity detection, on-device facial recognition, and voice biometrics. Sensory's technology enables secure voice-based user verification in the smart home access market.
  • Ceva NeuPro-Nano EcosystemmajorTechnology or Integration · 6 January 2026Sensory's TrulyHandsfree technology integrated into Ceva's NeuPro-Nano NPU ecosystem for ultra-low-power voice activation in battery-constrained consumer electronics including smart home, automotive, and wearable applications.
  • CevamajorTechnology or Integration · 5 January 2026Integration of Sensory's TrulyHandsfree voice activation technology into Ceva's NeuPro-Nano neural processing unit (NPU). Enables ultra-low power, always-on voice interfaces for battery-constrained consumer devices including TWS earbuds, smartwatches, smart remotes, and home appliances. All processing occurs on-device ensuring privacy without cloud connectivity.
  • MediaTekcoreTechnology or IntegrationCombining MediaTek's generative AI technology with Sensory's on-device voice AI for next-level entertainment and security in vehicles powered by MediaTek Dimensity Auto. Ephrem Chemaly (GM & VP Automotive) leads the partnership.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Sensory competitors and assessment

Company assessment

Direct peers

  • Picovoice: Picovoice builds on-device voice AI (wake words, ASR, speech-to-intent) that runs across MCU/CPU/GPU/DSP with similar privacy-first positioning. It is the closest direct substitute to Sensory's TrulyHandsfree and on-device STT for embedded developers.
  • Syntiant: Syntiant develops ultra-low-power neural decision processors and edge audio/vision models targeting always-on wake word, sound detection and biometrics on battery-constrained devices. Its ultra-low-power edge AI focus and audio model portfolio overlap directly with Sensory's wake word and SoundID offerings.
  • Audio Analytic: Audio Analytic builds on-device AI for environmental sound recognition (alarms, glass break, baby cry) deployed in smart home, security, and IoT. It directly competes with Sensory's SoundID product line in the embedded sound awareness category.
  • Pindrop (ID R&D): Pindrop, through its ID R&D acquisition, offers text-independent and text-dependent speaker verification plus facial biometrics for on-device authentication. It is a direct competitor to Sensory's Text-Independent/Text-Dependent Speaker Verification and Face Verification products.
  • Retune DSP: Retune DSP provides voice control and keyword spotting algorithms deployed in smart speakers, hearables and IoT. It is a comparable embedded voice AI vendor with similar target customers in low-power consumer devices.
  • Paravision: Paravision provides on-device face recognition and liveness AI for access control, mobile, and automotive identity. It competes directly with Sensory's Face Verification module in the on-device face biometrics category.

Broad incumbents

  • Cerence: Cerence is a large, established AI provider for automotive in-cabin experiences spanning voice, vision, and biometrics. While it owns the incumbent automotive voice stack, Sensory is increasingly positioning its smaller, on-device engine as a complementary or alternative layer for the same OEMs.
  • SoundHound: SoundHound provides a broader voice AI platform (including automotive voice assistants and SoundHound Chat AI) covering more of the full stack. While not exclusively on-device, it competes with Sensory at the OEM voice experience level for automotive and IoT customers.

Emerging players

  • Fluent.ai: Fluent.ai offers embedded, language-agnostic speech understanding that runs on small devices offline. It overlaps with Sensory's Micro Language Models and Custom Grammars for compact, multilingual on-device command recognition.
  • Ambiq Micro: Ambiq builds ultra-low-power semiconductors and reference AI models (including a voice frontend) for always-on wearables and IoT. It is a partial competitor and ecosystem partner to Sensory, as it sometimes bundles voice capabilities with its low-power MCUs.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

Sensory social profiles

Digital presence

Sensory compliance and trust

Trust signal

Compliance2 records

Sensory financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Sensory leadership team

Management profile

Number of profiles

Profiles3 records

Sensory funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Sensory M&A and investment

M&A and investment

M&A1 record

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Sensory

What does Sensory do?

Sensory licenses embedded on-device AI technology for voice, sound, and biometrics to OEM, ODM, and semiconductor companies. Its product portfolio includes wake word detection (TrulyHandsfree), speech-to-text, phrase-spotted commands, natural language understanding via Micro Language Models, sound identification (SoundID), and biometric authentication (speaker and face verification). The VoiceHub platform allows developers to create custom wake words and commands without ML expertise. All processing runs entirely on-device with ultra-low power consumption, supporting 40+ languages and deployment across 3+ billion devices.

Is Sensory a public or private company?

Sensory is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Sensory founded?

Sensory was founded in 1994. It employs 51 to 100 people.

Where is Sensory based?

Sensory is headquartered in Santa Clara, United States, in the North America region.

How does Sensory make money?

One revenue line is on record: technology Licensing.

Who are Sensory's main competitors?

Direct peers on record are Picovoice, Syntiant, Audio Analytic, Pindrop (ID R&D), Retune DSP and Paravision. Broad incumbents are Cerence and SoundHound. Emerging players are Fluent.ai and Ambiq Micro.

Does Sensory have an API?

No public API is recorded for Sensory.

What industry is Sensory in?

Sensory's product category is Embedded Voice AI Software. Its primary akta.pro industry code is HDAAAJAF, On-Device Speech & Audio AI (wake word, ASR, enhancement), with a secondary code of HDAAAFAJ, Wake Word & Keyword Spotting. Its SIC code is 7372.

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openPR.comEmerging Growth Patterns Driving Expansion in the Far Field Voice and Speech Recognition MarketThe far field voice and speech recognition market is projected to grow to $12.1 billion by 2030, representing a compound annual growth rate of 15.7%, driven by IoT integration, AI-powered voice assistants, automotive applications, and smart speaker adoption. In August 2024, SoundHound AI, Inc. acquired Amelia, an enterprise AI software company, for $80 million to expand its conversational AI capabilities across multiple devices. Additionally, Sensory Inc. launched its TrulyHandsfree 7.0 product in September 2023, featuring enhanced accuracy in noisy environments with ultra-low power consumption.SensoryOn-Device Voice & Sound AI for Wearables & Smart GlassesThe article discusses Sensory's on-device AI technology designed for wearables, hearables, and smart glasses, emphasizing privacy, low power consumption, and reliable performance in mobile environments. Key features include wake words, speech recognition, sound identification, biometric authentication, and hybrid AI capabilities for local and cloud processing.TechnobezzSensory Optimizes Its AI Speech Engine for Qualcomm's New Snapdragon Wear Elite ChipSensory, Inc. announced it will optimize its Sensory Micro speech recognition and biometric engine for Qualcomm's newly unveiled Snapdragon Wear Elite wearable chipset, revealed at Mobile World Congress 2026 in Barcelona. The collaboration enables high-performance wake word detection and voice control on next-generation wearables while consuming minimal power through Qualcomm's Low Power Island architecture and dedicated eNPU. Samsung has already confirmed its next-generation Galaxy Watch will use the Snapdragon Wear Elite platform, with Google aligning its Wear OS with the new hardware.EIN PresswireSensory Brings Always-On AI Speech and Biometrics to Snapdragon Wear EliteSensory, Inc. announced a collaboration with Qualcomm Technologies to optimize its ultra-efficient Sensory Micro engine for Snapdragon Wear Elite, bringing always-on AI speech recognition and biometric capabilities to next-generation wearable devices. The partnership enables wake word detection, voice commands, and speaker recognition on power-constrained wearable devices by leveraging Qualcomm's Low Power Island architecture. Both companies stated this integration will simplify OEM development of security-focused, voice-first wearable experiences while maintaining privacy and battery efficiency at the edge.New ElectronicsNeuPro‑Nano NPU ecosystem adds voice activation technologyCeva has announced a collaboration with Sensory to integrate Sensory's TrulyHandsfree voice activation technology into its NeuPro-Nano neural processing unit (NPU) ecosystem, targeting ultra-low-power, voice-enabled devices in battery-constrained consumer electronics. The integration enables on-device keyword spotting without cloud processing, allowing manufacturers to maintain user privacy and responsiveness while reducing power consumption. The partnership combines Sensory's low-power voice interface expertise with Ceva's embedded AI technology to accelerate development cycles for voice-first user experiences in smart home, automotive, and wearable applications.Investing.comCeva adds Sensory’s voice activation tech to NeuPro-Nano NPU By Investing.comCeva, Inc. announced a collaboration with Sensory Inc. to integrate Sensory's TrulyHandsfree voice activation technology into Ceva's NeuPro-Nano neural processing unit, unveiled at CES 2026 in Las Vegas, aiming to enable on-device keyword spotting for battery-constrained consumer devices. Ceva also reported Q3 2025 revenue of $28.4 million, a 4% year-over-year increase that slightly missed forecasts, while analyst Roth/MKM raised its price target for CEVA to $35 from $30 with a Buy rating. The companies emphasized that all voice processing occurs entirely on-device, ensuring user privacy without requiring cloud connectivity.PR NewswireCeva Enhances NeuPro-Nano NPU Ecosystem with Addition of Sensory's TrulyHandsfree Voice ActivationCeva, Inc. and Sensory Inc. announced at CES 2026 a collaboration to integrate Sensory's TrulyHandsfree voice activation technology into Ceva's NeuPro-Nano NPU, expanding Ceva's edge AI ecosystem. The integration enables ultra-low power, always-on voice interfaces for battery-constrained consumer devices such as TWS earbuds, smartwatches, smart remotes, and home appliances, with all voice processing performed entirely on-device to ensure user privacy without cloud connectivity. SOC vendors and OEMs can now deliver voice-first user experiences with faster time-to-market using this power-efficient solution.openPR.comEmerging Innovations Set to Redefine the Voice Recognition Market Landscape Through 2029The Business Research Company released a report forecasting the global voice recognition market to grow from $11.59 billion in 2024 to $29.63 billion by 2029, driven by increased adoption of smart devices and on-device processing technologies. A key industry development highlighted is Sensory Inc.'s September 2023 launch of TrulyHandsfree 7.0, a low-power wake word software designed for embedded systems. The report identifies North America as the largest regional market while projecting Asia-Pacific to experience the fastest growth through the forecast period.EIN PresswireSensory Unveils Smart Wakewords, Ushering in an Era of Truly Natural, Conversational AISensory, Inc. announced the launch of Smart Wakewords, a next-generation voice AI technology that enables more natural, conversational interactions with consumer electronics without requiring rigid 'Hey, device' commands. The technology uses a multi-layered architecture combining on-chip, on-device, and cloud processing to understand context, intent, and user identity while operating at low power. Smart Wakewords will be available for licensing in January 2026 and is expected to be integrated into edge-AI platforms including Snapdragon, Arm-based SoCs, and Cadence DSP cores.TracxnTop Companies in Passwordless Authentication (Oct, 2025)The article presents a curated list of top startups in passwordless authentication, highlighting companies such as Sensory, Nok Nok Labs, and Ironchip. It provides specific operational details for these entities, including their founding years, headquarters locations, funding rounds, and core product offerings like voice recognition and FIDO-based infrastructure. The content serves as an industry directory rather than reporting on a specific market event or transaction.