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MomRadar
AI safety alerts for caregivers

Notice danger sooner.
Get alerted fast.

MomRadar is a mobile app that helps caregivers notice potentially dangerous situations around kids using AI vision models (e.g., ChatGPT-class vision). When potential danger is detected, MomRadar can notify caregivers so they can act quickly.

Request beta access Read prior description (Safety Lens)
Note: “Safety Lens” was the previous product name. MomRadar is the current name.

Peace of mind

Extra awareness during busy moments—without adding complex setup.

Fast feedback loop

Get notified quickly when a scene may require attention.

Privacy-forward approach

Clear privacy policy and transparent handling principles (see Privacy page).

How it works

A simple flow designed for caregivers.

1) Observe the environment The app uses the device camera (or configured captures) to understand what’s happening around the child.
2) AI checks for potential hazards Vision models analyze the scene for patterns that may indicate risk.
3) Alert when attention is needed When something looks unsafe, MomRadar can notify caregivers so they can intervene.
4) Improve over time Feedback and model tuning help reduce false alerts and improve usefulness (with privacy safeguards).

Common use cases

Examples of moments where caregivers may want an extra layer of awareness.

Climbing / falling risk

Detect scenarios where a child is climbing onto furniture or near ledges.

Heat / fire sources

Flag proximity to stoves, candles, heaters, or other hot surfaces.

Sharp / dangerous objects

Identify possible presence of knives, tools, chemicals, or other hazards.

Stay in touch

We keep improving the app and quality of danger detection. Follow our LinkedIn or SubStack pages to get updates or suggest improvements - we'd be super happy to hear your opinion. Or just give us Like, so that we know this work is needed.

Our LinkedIn   Blog on SubStack
To reduce amount of automated spam, we don't provide direct email, but we read everything that comes through LinkedIn and SubStack.