What Consumers Expect Has Changed
Consumers expect smarter, faster, and more private devices without sacrificing battery life. SensiML brings on-device intelligence to wearables, smart home products, and other connected devices using the MCUs already in their designs.
Key market drivers
- Global wearables market projected at $186B by 2030
- Smart home device shipments exceeding 1.4B annually
- AR/VR headset market growing at 35%+ CAGR
- Privacy regulation driving shift to on-device AI processing
- Battery life expectations driving cloud-off, edge-on trend
Four
Core consumer AI capability categories
Activity recognition, gesture control, audio event detection, and motion analytics — all production-proven.
≤30kB
Gesture models in as little as 30kB
Feasible on 8-bit and 16-bit MCUs already designed into cost-optimized consumer devices.
No cloud
Fully on-device inference
No latency, no subscription dependency, no privacy exposure — a growing OEM requirement.
Market Position & Proven Deployments
Lifestyle Wearables & Fitness Devices
SensiML's activity recognition and motion analytics models power next-generation wearables that go far beyond step counting. Physiologist-validated running form analysis, real-time movement quality assessment, and personalized activity classification are achievable on the MEMS sensors already in wearable hardware. Licensable labeled datasets across fitness, sports, and health activity domains accelerate OEM time-to-market — replacing months of data collection with ready-to-deploy model assets.
- Physiologist-validated running gait analysis and automated coaching
- Real-time form assessment for strength training, boxing, and sports movements
- Licensable activity datasets across 8+ consumer motion domains
- User-adaptive models that personalize to individual movement profiles
Smart Home & Consumer Appliances
The connected home device market is demanding local intelligence — not cloud-dependent automation that exposes sensitive household data and requires constant connectivity. SensiML enables smart appliances, security devices, and home automation systems to process audio and motion context entirely on-device. The result: faster response, better privacy, and dramatically lower cloud infrastructure cost for OEM product teams.
- Occupancy-aware HVAC and lighting control using on-device PIR and audio sensors
- Always-on acoustic event detection: glass break, smoke alarm, baby cry, doorbell
- Custom wake word and voice command without Alexa or Google Assistant dependency
- Anomaly detection for smart appliance fault alerting (washing machine, HVAC, refrigerator)
AR/VR & Immersive Computing
Next-generation smartglasses and immersive computing devices require real-time sensor intelligence that image processing pipelines alone cannot deliver. SensiML's gesture and audio recognition models run alongside image workloads on MCUs and application processors — adding context-aware UI, voice command, and motion intelligence without requiring separate AI accelerator hardware. This hardware efficiency is a decisive advantage in form-factor-constrained head-worn devices.
- Gesture navigation for smartglasses using IMU sensors (as small as 10kB model footprint)
- Voice command and wake word without hub dependency or cloud latency
- Motion-context awareness for AR experience enrichment
- Compatible with MCU, FPGA, and DSP processing cores already in AR/VR SoCs
Validated Use Cases
Fitness
Running Form & Gait Analysis
Physiologist-validated motion models providing real-time coaching feedback on running biomechanics.
Sports
Smart Boxing Glove
Real-time punch classification (jab, cross, hook, uppercut, overhand) from IMU sensors in a consumer glove.
Pet Tech
Dog Activity Tracker
Collar-based activity recognition for walking, running, eating, and resting in a commercial pet wearable.
Smart Home
Smart Door Lock Audio
On-device recognition of lock, unlock, knock, and key insertion events without cloud connectivity.
Consumer
Gesture-Controlled Toy
6-gesture recognition library in under 30kB of SRAM — deployed on a cost-sensitive consumer toy MCU.
Voice UI
Custom Wake Word
Always-on voice command with custom wake word vocabulary — no third-party hub or cloud subscription.
SensiML's library of licensable consumer motion datasets — built with domain experts across fitness, sports, and daily living — is a tangible commercial asset that directly compresses OEM time-to-market. Combined with hardware-agnostic deployment across the MCU platforms already in consumer devices, SensiML's edge AI platform serves both the premium and cost-sensitive tiers of the consumer IoT market.