Aler points at the signal. Your clinician makes the call.
We try to be exact about where Aler’s job ends and where yours and your clinician’s begins. This page is the source of truth on what Aler is meant to do, who it is for, and the lines it does not cross.
Wellness software, on purpose.
Today Aler is a general wellness product. It promotes general wellness and raises patterns from your own data, without claiming to diagnose, treat, prevent, or cure any disease.
Later, specific risk features may pursue Software as a Medical Device clearance. If that happens we will update this page, and any cleared feature will live separately from the wellness product. We align our risk posture to recognized frameworks and defer to the major clinical guidelines (heart failure, COPD, diabetes, hypertension, sepsis, stroke and atrial fibrillation) for the thresholds behind what Aler watches.
What Aler does. What Aler does not.
Aler is
- Wellness software that surfaces signals from your own data.
- A pattern-finder that learns your personal baseline and flags drift.
- A tool that prepares clear hand-offs for your clinician.
- HIPAA-aware, built to keep your record portable and exportable.
Aler is not
- An FDA-cleared medical device.
- A diagnostic, treatment, or prescription tool.
- A replacement for your clinician or any urgent-care service.
- A guarantee that an event will or will not happen.
Who Aler is for, and what it watches.
Aler is intended for adults (18+) in the United States, to help you manage your own health and, if you choose, share with a clinician or care team. The areas below are what Aler’s monitoring is designed around; which signals are actually watched depends on the sources you connect. None of it is a diagnosis.
Aler is not intended for children, for active emergency response, or as the only basis for a clinical decision. If you are pregnant, severely ill, or in an unstable state, follow your care team’s guidance over anything Aler says.
Four rules the system keeps on itself.
These are not aspirational. They are built into the prompts and the model orchestration, and every access is logged.
Urgent things come first
If your message or your signals point at a likely emergency, Aler skips the summary and tells you to call your local emergency number, with the relevant context ready for whoever picks up. Fixed medical rules run before anything else, every time.
No action on your behalf
Aler does not place orders, send prescriptions, change medical records, or contact emergency services for you. Every consequential action is started by you or your clinician, never by us.
Confidence, not certainty
Every heads-up comes with an explanation, the signals behind it, and how sure Aler is. We show uncertainty rather than hide it behind a single number.
The clinician verifies
When a clinician is in the loop, Aler hands them summaries with links back to the underlying signals, so they can check the work before acting.
Where it helps, and where it does not.
Aler uses machine-learning and large-language-model components. They earn their place when they cite their work and stay inside the lines below.
Outputs need a human check
What Aler Intelligence writes (summaries, heads-ups, medicine notes) can contain errors or omissions. It is decision support, not the decision, unless the app explicitly says a clinician reviewed it.
Your baseline is yours, the model is shared
Your personal baseline is built from data inside your account only, enforced in your account, the prompt layer, and every model call. The underlying models are trained on de-identified health data, which is what makes them accurate for everyone. Data that could identify you never enters that training.
Providers cannot keep your data
When a prompt is routed to an outside model provider, the agreement prohibits them from keeping the prompt or the answer, or using either to train their own models. Identifiable health data only goes to providers under a Business Associate Agreement.
We watch for bias
A model can reflect bias in the data it learned from. We check performance across groups and act on the gaps, and we do not claim the same accuracy for every single person.
A safety rule the model cannot override
Emergency language (chest-pain wording, suicidal thoughts, signs of a stroke) triggers an emergency-resource message before the model gets a chance to respond. It is a fixed rule, not something learned, on purpose.
Cited, not asserted
Every output shows the signals it was built from: the readings, the time window, the normal range, so a clinician can check the claim instead of trusting the wording.
Built on patterns the literature already knows.
Aler does not invent new physiology. It applies well-documented signal-to-risk relationships, calibrated to your personal baseline. The link between a few pounds of weight gain over a week and a heart-failure hospitalization is not Aler’s discovery. It is a decades-old finding that nobody is staffed to watch in real time, one person at a time.
What Aler adds is the continuous, personalized, multi-signal vigilance.
See the science and referencesThe text we would want a friend to read.
Aler is software. It is careful, well-cited software, and it can spot patterns in your data faster than you can. It does not replace your clinician, your judgment, or an emergency room.
If something feels seriously wrong (chest pain, sudden weakness, trouble breathing, suicidal thoughts) call your local emergency number. Do not open the app first.
For everything else, bring Aler’s daily brief to your next visit, share a cited summary with your care team, and let the software do what it is good at: noticing the boring drift before it becomes the dramatic event.
Last updated July 2026.
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