Sleep.AI gets $5.5 million to expand sleep intelligence platform
It is Sleep.ai, a sleep intelligence platform, that has raised $5.5 million in funding and will be used to advance its AI model of analyzing sleep patterns.
The Carlsbad, California-based startup (formerly known as Sleepscore Labs) offers an API that can be integrated into other health and wellness applications to power their sleep support features. This support includes sleep data tracking, actionable insights on how users sleep and personalized coaching. The company also provides R&D services (including product verification, sleep research and claim support) to help businesses create effective sleep solutions.
Additionally, Sleep.ai offers a reimbursement application that is fully available to all German citizens. The app offers sleep tracking, sleep analysis and coaching.
Sleep.AI's $5.5 million funding is led by Treasure Coast Ventures, including participation from Harvard Business School alumnus Angels Nurture Ventures from Greater New York and Super Montmartre Capital. In total, the company raised about $15 million.
“Sleep is becoming one of the most critical and inappropriate boundaries in global health, and there is no better company to lead it than Sleep.AI,” Robert Padulo, managing partner at Treasure Coast Ventures, said in a statement. “Their unparalleled datasets, scientific rigor and proven capabilities can translate research into scalable commercial solutions that set them apart in the crowded AI market.”
Colin Lawlor, founder and CEO of Sleep.ai, said the financing will be used to advance its AI model. It also invests in its entry-to-market strategy by building brand awareness and expanding partnerships in the health and wellness sectors.
The fundraising announcement comes at a time when sleep deprivation caused more than $411 billion in accidents, loss of productivity and health problems in the global economy. And there is little support for support, and in the United States, there is about one sleep specialist for every 43,000 patients.
“Today's consumers are making decisions and trying various interventions,” Lawler said. “Some are proven and supported, others do not. Some are safe, while others are not. This is not a really successful formula because trial and error can lead to years of sleep loss and in many cases, it's hard to recover in terms of long-term health effects. We think that the first question about sleep, we need to collect data.
In the next few years, Lawlor hopes to sleep. EAI has reached at least 1 billion people through its partnership.
Several other companies also offer AI products for sleep. These include eight sleeps, which provides a bed cooling system and Full Powers that provide remote home sleep monitoring. However, Lawlor believes that the services of these companies are complementary to Sleep.AI.
Photo: Olga Pankova, Getty Images
