Sleep intelligence for mental health platforms
Mental health and sleep are bidirectionally connected. Poor sleep both results from and worsens emotional struggles, and your members already know it. Sleep is consistently one of the highest-engagement content categories in mental wellness apps. Sleep.ai gives your platform the data, intelligence, and coaching to turn that demand into measurable daily impact on the outcomes that matter.
“By integrating Sleep.ai’s intelligence layer into HearMe, we give individuals a more complete understanding of themselves—not just how they feel but why they feel that way.”
Last night
6h 47m
Total duration 7h 12m
REM 22% below your 14-day average
Today’s coaching
REM is when your brain processes emotions. Expect a more reactive day. Start with a 6-min breathwork session.
Sleep is the earliest, most measurable signal of mental health.
Long before mood self-report shifts, sleep architecture changes. The platforms that measure sleep see the signal early.
What Sleep.ai does
Sleep.ai is the API layer that adds validated sleep data, AI-driven interpretation, and personalized coaching to mental health products. Sleep is captured continuously for every member, across wearables, smartphones, and contactless options. The platform sees the data behind their mood, stress, and resilience. Coaches, listeners, and content libraries become responsive to what each member slept the night before, replacing static one-size guidance with a daily personalized signal.
The problem
The outcome problem
Decades of research show that poor sleep both results from and worsens mental health challenges. Adults with inadequate sleep have roughly two and a half times higher odds of frequent mental distress, and insomnia roughly doubles the long-term risk of developing depression. Mental health platforms see this relationship play out in their own product analytics: their highest-traffic content is almost always sleep-related. The platforms that close this loop with measurement gain a daily physiological signal for the same outcomes their members already care about.
The data problem
Some mental health platforms have built rich sleep content libraries: meditations, sleep stories, blog articles, breathing exercises. That content is some of the most-used, most-searched material in the entire experience. But it sits disconnected from any data about whether the member slept well, slept poorly, or did not sleep at all. Without measurement, every member gets the same generic guidance, and the platform has no way to show outcomes. The opportunity is to turn sleep from a static content category into a personalized, data-driven layer of the mental health experience.
~2.5×
Higher odds of frequent mental distress in adults with inadequate sleep (CDC, 2021)
~2×
Long-term risk of developing depression in adults with insomnia (Baglioni meta-analysis, 2011)
78%
Of meditation app subscribers were classified as poor sleepers in a JMIR survey of nearly 9,900 users (2020)
The Sleep.ai Intelligence Platform
The full Sleep.ai stack covers every step from raw signal to user outcome. Most platforms start with one or two components and expand as the roadmap matures.
01 / Measure
Three ingestion paths into one harmonized dataset. Every member, every night, regardless of what hardware they own.
Sleep Connect
Collect sleep data from 500+ wearables, apps, and devices, seamlessly.
Sleep Detect
Enable wearable-free sleep tracking using PSG-validated sonar sensing.
Sleep Sense
Transform any smartphone into a trusted automated sleep sensor.
Sleep Harmonize
Standardize sleep data from every source into one gold-standard dataset.
02 / Interpret
Sleep Lens turns raw sleep data into clear mental-health-relevant signals: changes in sleep continuity, REM disruption, sleep efficiency, and weekly variability. Platforms can use these signals to personalize coaching cadence, surface relevant content at the right moment, and flag patterns that warrant a deeper conversation with a coach, listener, or clinician.
Sleep Lens
Turn sleep data into actionable individual and cohort-level signals across health outcomes, recovery, and platform performance.
03 / Activate
A sleep score with no follow-up is just another number. Sleep.ai gives your platform a way to act on what the data shows, with science-backed coaching, validated screening, and seamless routing for members who need more than self-help.
Sleep Coach
Deliver personalized, science-backed coaching adaptable to every user.
Sleep Screen
Assess sleep disorder risk in home, powered by validated screeners and AI models.
Sleep Care
Successfully navigate at-risk users into trusted sleep disorder care pathways.
Who builds with Sleep.ai
Sleep.ai’s modular API supports the full breadth of consumer mental health, from peer support and therapy to meditation and mood tracking. Each category integrates the components that fit the experience.
01 / Therapy and peer support platforms
Therapy, coaching, and peer support platforms layer Sleep.ai into the conversation between members and their listeners, coaches, or therapists. Sleep Connect ingests data from any wearable a member already uses, and Sleep Sense fills the gap for the majority who do not. Sleep Lens surfaces meaningful patterns that listeners can reflect back, and Sleep Coach delivers personalized guidance between sessions. Members understand themselves more completely, and the platform gains a daily signal that informs the entire support model.
02 / Meditation and mental wellness apps
Meditation and mental wellness platforms have built deep sleep content libraries, but most still cannot personalize what each member sees based on how they slept. Sleep.ai changes that. Sleep Sense and Sleep Connect deliver continuous sleep measurement at population scale. Sleep Coach adapts session timing, intensity, and content based on the member’s recent sleep. Sleep Screen identifies users whose sleep patterns suggest a deeper issue, opening a path to validated screening and care.
03 / Mood, journaling, and self-tracking apps
Mood and journaling apps depend on what members tell them. Sleep.ai adds an objective layer that members do not have to log. Sleep Sense captures sleep automatically from the smartphone members already carry. Sleep Lens correlates sleep patterns with mood and journaling entries, helping members and the platform see what changed and why. Sleep Coach delivers tailored guidance grounded in real data, replacing generic next-day suggestions with a personalized response.
Trusted by leading health and wellness brands
For technical teams
Sleep.ai is built for engineering teams that need clean, validated, low-latency sleep data they can ship into production confidently.
Accuracy
94% sensitivity vs. polysomnography for Sleep Detect (contactless sonar). Sleep Connect harmonizes data across 500+ wearables, apps, and devices into one consistent format.
Latency
Sub-second API response times across all endpoints, designed for in-session product experiences and real-time coaching.
Supported platforms
iOS and Android SDKs, web and server-side REST integrations, plus pre-built data connectors for the major wearable ecosystems.
Authentication
OIDC for user identity flow. Supports custom claim schemas and platform-managed user provisioning.
Data freshness
Sleep records available within minutes of session end. Historical data backfill supported on integration.
Regions and compliance
ISO 27001 certified, GDPR compliant, regional data residency options. ZPP-certified for reimbursement across 74M publicly insured lives in Germany via Dein Schlaf.
Built on validated sleep science
Sleep.ai is the data layer most platforms wish they had built. Every integration draws on the same foundation.
~1B
Hours of real-world sleep data
The largest naturalistic sleep dataset in the world, collected from real users in their own bedrooms across years of continuous monitoring.
500+
Wearables, apps, and devices via Sleep Connect
One integration, every major device ecosystem. Sleep Connect ingests data from anything your users wear or use, harmonized into a consistent format.
94%
Sensitivity vs. polysomnography
Contactless sonar sensing, productized as Sleep Detect, validated against the clinical gold standard for sleep measurement.
Thought leadership
How Sleep.ai thinks about the data, the science, and the opportunity for partners building the next generation of mental health products.
Partnership
The first integration of comprehensive sleep intelligence into a mental health platform, embedding device-agnostic tracking, AI-driven analysis, and behavioral guidance into the emotional support journey.
Read the announcement →Whitepaper
A technical whitepaper on Sleep Sense, the smartphone sensing approach that gives platforms sleep coverage for users who do not have or do not wear a wearable.
Read the whitepaper →Research
Findings from the AgeTech Collaborative by AARP showing that consumer preference shifts measurably toward health products that carry independent scientific validation.
Read the findings →Frequently asked
Sleep.ai’s contactless sonar sensing technology, productized as Sleep Detect, has been validated against polysomnography in published research with 94% sensitivity for sleep detection in healthy sleepers. Sleep Connect ingests data from 500+ wearables, apps, and devices, then Sleep Harmonize standardizes the output into a benchmark dataset that stays consistent across source devices.
No. Sleep.ai supports three sleep tracking paths and you can use any combination of them. Sleep Connect pulls data from any of the 500+ wearables, apps, and devices your users already use. Sleep Detect provides contactless sonar sensing that works without any worn device. Sleep Sense turns the smartphone the user already has into an automated sleep sensor. Sleep Harmonize then standardizes the output into a single dataset.
Sleep changes often appear days before subjective mood declines show up in self-report. Sleep.ai’s data layer surfaces shifts in sleep continuity, REM, and weekly variability that can prompt timely platform interventions, like a check-in nudge, a coach handoff, or a more focused content recommendation. Sleep.ai does not provide diagnostic claims, but the signal is meaningful and actionable for platforms supporting daily mental wellbeing.
Static content treats every member the same. With Sleep.ai layered into your platform, the same sleep stories, meditations, and articles become responsive: surfaced at the right time of night, paired with the member’s measured sleep data, and reinforced with a personalized coaching loop. Members come back daily because the experience now reflects what they slept the night before, with content and coaching tuned to that signal.
Yes. Sleep.ai’s API delivers continuous, validated sleep data through Sleep Connect (500+ wearables, apps, and devices), Sleep Detect (contactless sonar), or Sleep Sense (smartphone-based). Sleep Coach uses that data to adapt session timing, intensity, and content for each member, replacing static templates with a daily personalized response. Members see guidance that responds to how they slept last night, with the platform learning each member’s patterns over time.
Sleep Lens delivers individual and cohort-level signals that can be surfaced in coach or clinician dashboards, paired with conversation prompts, or reflected back to the member during a session. The HearMe partnership is one example: Sleep Insights are translated into prompts that listeners and members can use together to deepen the support conversation, supporting resilience through awareness rather than acting as a diagnostic tool.
Yes. Sleep.ai is designed to complement subjective tracking with an objective physiological layer that members do not have to log. Sleep Lens correlates sleep patterns with mood, journaling, and behavior, surfacing connections that members and platforms can act on together. The combination gives platforms a more complete picture of member wellbeing without adding friction to the daily experience.
Sleep.ai provides validated sleep measurement, intelligence, and coaching designed to support member wellbeing and platform engagement. Sleep Screen flags risk patterns for conditions like obstructive sleep apnea and insomnia, and Sleep Care can route at-risk members to trusted care pathways. The platform is positioned as a support and screening layer that complements clinical care without replacing it.
Most platforms integrate Sleep.ai’s APIs within days. Authentication uses OIDC, response times are sub-second, and the data layer is platform-agnostic. Engineering teams typically run a working proof of concept in the first week and ship to production within a sprint or two.
Yes. Sleep.ai is ISO 27001 certified and GDPR compliant. The platform also holds ZPP certification for reimbursement across 74 million publicly insured lives in Germany via Dein Schlaf, a regulatory bar that exceeds typical SaaS compliance requirements.
Build with Sleep.ai
Sleep is the daily input behind mood, focus, and resilience. Most mental health platforms know it. Sleep.ai gives your team the data, intelligence, and coaching to act on it, with the science, scale, and security your members and your business depend on.
~1B
Hours of real-world sleep data
250+
Scientific studies
100+
Peer-reviewed publications
74M
Covered lives via Dein Schlaf