Sleep.ai adds $5.3M as its sleep-data library tops 1.1B hours
What's the deal? Sleep.aiDealroom has a profile for this one. Try Dealroom →, a Carlsbad, California sleep-intelligence platform, has raised $5.3 million in new funding, led by Treasure Coast VenturesDealroom has a profile for this one. Try Dealroom → with participation from the Harvard Business School Alumni Angels of Greater NY. The company turns data from phones and wearables into personalised health guidance.
By the numbers: Sleep.ai says it has now analysed more than 1.1 billion hours of real-world sleep data and over 200 billion data points. Its platform normalises readings across just under 800 wearables — devices that can disagree by 57 to 89 minutes when measuring the same night.
Why it matters: The round builds on a $5.5 million raise Sleep.ai announced in 2025, also led by Treasure Coast Ventures. Formerly SleepScore LabsDealroom has a profile for this one. Try Dealroom →, the company spun out of ResMed in 2016 and rebranded in 2025.
What's the endgame? The money will fund new partner integrations, expansion in Germany and other markets, and Sleep.ai's predictive health models. Partners embed the platform through APIs and SDKs, so users get guidance whether or not they own a wearable.
Its clearest traction is in Germany, where its Dein Schlaf (“Your Sleep”) program is reimbursed by statutory insurers including BARMER and AOK Niedersachsen. Anyone with statutory insurance — about 74 million people — can join without a prescription, and 25,000 have enrolled this year.
Does it work? Two in three Dein Schlaf users who tracked sleep for 36 nights improved on at least two objective measures versus their first week, sleeping about half an hour longer per night. “Because every recommendation is based on actually measured sleep data, the program works where general tips fall flat,” said Frederike Escher-Brecht of BARMER.
The signal: Sleep-tech has drawn larger, distinct cheques lately — Ognomy's $20 million for virtual sleep-apnea care, Ozlo's $22 million for hardware. Sleep.ai's bet is different: a device-agnostic data layer plus a reimbursed program that insurers already pay for. The open question is whether it can convert that library and early enrolment into sustained revenue.
Read more: AP News
Image credit: Generated with Gemini
