On-device acoustic breathing-event detection · by SomniAI LLC
Breathing-event detection that runs on the device — and that you can verify yourself.
A 56.4 KB model that detects snoring and breathing events from a phone microphone. On-device, no cloud, audio never leaves the device — every night, in real time. Embeddable as an SDK, built by the person who wrote the algorithm.
Small is the point. No inference servers to run. No per-call cloud cost. No audio leaving the device. It's a file you embed.
Built to drop into
- Earbud / hearable hardware
- Mattress & bed sensing
- Smart bedside & ambient audio devices
- Remote sleep screening & telehealth
- Connected health & care platforms
Example categories — if one of these is what you're building, the breathing layer is a file away.
How you'd use it
You feed it microphone frames. It returns a stream of breathing events — snore, pause, timestamps, confidence — running on the device via CoreML or TFLite. No backend to stand up, integration measured in days, not quarters.
- On-device — runs on the phone or the chip, not a server you pay per call
- No cloud — the audio never leaves the device
- Every night — designed to run continuously, not a one-off scan
- Real-time — a live event stream, not a next-morning batch report
That last one is an opening, not a headline: a real-time stream is something your product can act on — whatever "act" means for your platform. We provide the detection layer; you own what happens next. ApneaSense is detection only; it doesn't respond, treat, or intervene.
Two ways to check us — pick the one that fits you
RIGOROUS Run it on your own data
Three papers, three MIT-licensed repos. The methodology, the per-seed metrics, and the training code are public — bring your own corpus and confusion matrix. We'd rather you trusted your own numbers than ours.
SEE IT LIVE Watch it on your own breathing
SomniSense — our consumer app — ships the same engine. When it lands on the App Store, download it and watch the detection run on your own night. No integration required to evaluate.
SomniSense ships soon.
Where it's strong, where it isn't
STRONG The reachable layer
- Cheap, on-device, real-time, zero-contact — just a microphone
- Runs every night without a clinic, a wearable, or a cloud bill
- Validated against in-lab & ambulatory PSG (n=80)
HONEST What it isn't
- An acoustic proxy — not airflow or blood-oxygen; PSG and continuous SpO₂ measure the physiological event more directly
- A screening signal, not a diagnosis; not FDA-cleared
- Precision-first — a conservative lower-bound estimate
Start with a small pilot
The default first step isn't a contract — it's a focused pilot: your device, your environment, a few nights. Not a big commitment, not a long procurement. The pilot is where you benchmark it in your context.
If it proves out, then we pick the engagement that fits — an SDK license, an integration, or co-development. No pricing tiers, no packages; we scope it to what you're actually building.
Talk to the person who built it
The email goes to the founder of SomniAI LLC — who designed and implemented the detection algorithm, holds the pending US patent (PAT-001), and authored the three papers and open-source repos behind it. No SDR, no sales funnel.
That means faster answers, a real technical conversation, and a direct line from your engineering lead to the person who can actually change the model.
Tell us what you're building.
We'll send the paper, the code, and scope a small pilot — your device, a few nights.