Localized FaceID & Presence
Wake appliances or adjust the environment on visual recognition — no images ever leave the device.
Run continuous acoustic monitoring on-device. FaceID and offline voice directly on the local device. Zero cloud dependency. Zero privacy compromise.
Bridge the lab and real world. The Sparsh module offers continuous, microwatt intelligence in a 21×21mm size, with a breakout board that snaps off for production.


Proven in production
Real products, real numbers, with the AI running the whole time.
The Safety Win
90 Days
on a single charge
A pendant that watches over you, running fall detection and SOS voice recognition continuously, on-device, for 90 days on a single charge. No phone to carry, no cloud to depend on. Protection that never goes dark.
The Women’s-Health Win
>98%
fall & assault recognition
In DimensionNXG’s MAI wearable, GPX10 Pro recognizes falls and assault patterns on-device at >98% accuracy and still runs 14 days on a 200 mAh cell. Detection stays local and private; the radio fires only when there’s a real event to report.
The Industrial Win
2+ Years
on one cell
Predictive maintenance that lives on the machine, continuously analyzing vibration and sound to catch anomalies before it breaks, entirely at the edge. A retrofittable, battery-powered node that runs 2+ years on a single cell, sending alerts, not raw data.
MULTI-MODAL, FULLY ON-DEVICE
The GPX architecture isn't an ASIC — it's a fully programmable AI engine. Here's what you run natively, privately, on the device.
Wake appliances or adjust the environment on visual recognition — no images ever leave the device.
Monitor continuous acoustic data for security events while the Wi-Fi SoC sleeps.
Run complex voice commands for thermostats and locks completely offline.
Monitor the elderly in a privacy-safe way using mmWave radar + motion AI.
Proprietary vision or NLP model? Compile it to GPX with ModelForge.
The on-device advantage
Take one always-on workload — continuous wake-word + presence detection — and look at what it costs to run. This is why Ambient devices can go cordless.

THE WORKLOAD
24/7
Wake-word + presence
Continuous, local wake-word detection + on-device presence running nonstop.

AMBIENT (GPX)
<1mW
Battery-powered AI
Runs the full workload locally, enabling unplugged smart-home devices.

LEGACY APP PROCESSOR
PLUGGED-IN
Must stay powered
Continuous audio and vision keep the processor awake, driving mains-powered designs.

100% LOCAL
NO CLOUD
Private, event-gated
Data stays in the room. The Wi-Fi SoC wakes only on a verified command.
GPX processes thousands of sensor samples per second inside its always-on island, waking the industrial gateway only when a physical fault is classified.
The Sleeping Gateway
The LoRaWAN / Wi-Fi gateway stays asleep; the Ambient engine handles real-time analysis.
Continuous Sensing
High-frequency vibration and thermal streams flow straight into the compute array, processed at the source.
Microwatt AI
Live telemetry proves heavy industrial compute running on a battery node.
Don't spend your first day writing sensor configuration code. The Cranium board comes ready to run out of the box, allowing you to instantly test physical AI models and validate performance on the metal with zero setup required.
01
VALIDATE
Benchmark your local NLP and vision models on the «NuraSense» Evaluation Kit using out-of-the-box camera and audio interfaces and flash demos wirelessly with ApplicationForge.
02
COMPILE
Use ModelForge to compile heavy multi-modal consumer models into efficient, privacy-safe applications.
03
INTEGRATE
Drop our integrated «System-on-Modules (SOMs)» into cost-sensitive, high-volume appliance boards.
Discuss Your Product Roadmap
Explore how Ambient AI can unlock new capabilities in your wearable product. Strategic planning session with our applications team.
Schedule Strategy Call
Talk to a Hardware Engineer
Be the first to access our upcoming Vision, Sound, and Industrial modules.
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