Framework
The Gold Standard Normalization Layer
How Sleep.ai turns four different wearable answers into one comparable number.
How it works
- 1Anchor everything to polysomnography: sixteen to twenty-six sensors, human-scored in thirty-second epochs.
- 2Fund thousands of lab nights across healthy people, people with disorders, people with chronic disease, varied BMI, gender, and ethnicity, run across multiple labs.
- 3Once the core measurement is validated, ingest data from any consumer wearable and score it against the same standard.
- 4Result: an Apple Watch user, an Oura user, and someone wearing nothing at all can be compared on one scale.
Hear it on the podcast
Chronic Insomnia: Almost None Get Treated — Colin Lawlor on the Sleep Data GapListen to the episodeMore from this episode
The Consistency-First Sleep StackColin's personal protocol, ranked by what he actually believes moves the needle.The Light Sandwich (Jet Lag Protocol)Colin's own travel routine for resetting the clock across time zones.All Data, No ActionColin's diagnosis of the entire wearables category.Sleep as the Diagnostic WindowThe underused half of the sleep story: an early warning system, not just a performance lever.Two-Lane MonetizationHow a sleep data company actually makes money.
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