Huml detects anomalies from wearables, voice, and location, giving clinicians clear next steps for proactive care, better documentation, and earlier intervention.
Pick the story that sounds like your week.
A patient says they can't sleep and wants meds. You have their sleep data. Another patient's heart rate spikes every Sunday during calls home. Now you can see it, and ask about it. Assessments run themselves along the way.
See the clinical view →Show referrers and payers a program that runs on data. Care responds to each patient's own baseline, because no two recoveries look alike. Monitoring continues past discharge, where most programs go dark. While others compete on amenities, you compete on evidence.
See the operator view →Give peer reviewers something they can verify instead of a narrative to debate. Recover the UR days lost to thin documentation.
See the UR view →Cardiology reads an EKG. Endocrinology draws an A1c. Behavioral health hands the patient a questionnaire and asks them to remember their week.
A clinician gets one hour a week. The other 167 hours never reach the chart, and that's where the patient actually lives.
A reviewer can't verify a narrative note. Payers are asking behavioral health for what every other specialty already provides: an objective basis to say yes.
Huml isn't another assessment to run. Passive biometric and voice signal becomes a text alert when something needs attention, and one record three audiences can read: the clinician acts on it, billing defends with it, the payer understands it.
That's the move from want-to-have to need-to-have.
Biometrics, voice, location, and validated assessments feed one recovery picture, one investigation, and one record built for payer review.
Heart rate, HRV, sleep, SpO2 and skin temperature from the wrist, around the clock.
Vocal patterns linked to anxiety and depression, from a short daily prompt.
Safety inside the facility, and GPS once they're beyond the four walls. One more signal that follows the patient instead of stopping at discharge.
12 validated instruments today, including the PHQ-9 and GAD-7. We can add any you use.
Huml flags anomalies and opens a guided clinician workflow.
Records built for payer review and the 42 CFR Part 2 standard.
Write-back to your EHR, and family kept in the loop with the patient's consent.
Clinical sees the signal. Billing sees the record. Leadership sees the math. Thirty minutes, on a real anonymized case.
Nothing for the patient to manage. When something needs attention, it reaches the clinician as a text, and the record lands in your EHR. Huml runs the loop in four moves.
WEARABLEWearable biometrics, voice check-ins, location, and assessments. Captured passively, all week.
Every signal is compared to that patient's own baseline, not a population average.
Signals are grouped across sources, so one rough night reads as context, not a string of separate alerts.
The clinician investigates, signs, and the record writes back to your EHR.
Fig. 02 The Huml workflow. The clinician decides at every step.
Patients in detox, residential, and PHP run baselines no consumer device understands. Withdrawal, medication, and broken sleep reshape what normal looks like.
An everyday tracker would tell them to take a walk. Huml learns each patient's own baseline and tells your team what changed and what to look into.
Recovery doesn't stop at discharge. Neither does the monitoring. Huml ships as two products across the care continuum.
The patient wears a facility-managed smartwatch. Huml monitors around the clock, runs the investigation workflow, and produces signed records while care is structured and 24/7.
The patient moves to their own wearable and app. Huml carries the signal through step-down and discharge, a high-risk window in recovery. With the patient's consent, family stays in the loop.
Most monitoring quits at the door. Connect doesn't.
From anomaly to signed record, on a real anonymized case.
Recovery has run on subjective check-ins for decades. Huml adds objective signal, so patients, clinicians, and payers work from the same record. Nobody's the obstacle when everyone trusts the data.
Clinicians see risk as it emerges, not weeks later. The right intervention lands when it counts. In aftercare, family and safety stay in the picture.
Staff act on a clear signal instead of hunting for one. Documentation comes out of the workflow, not on top of it, and the facility can show its work to any reviewer.
Reviewers approve care they can verify. Objective signal replaces subjective notes, giving reviewers an objective basis for the level of care.
Biometric and voice signals diverge from the patient's baseline.
A clinician investigates and acts. The action is timestamped.
Follow-up data shows the response. The loop closes and is recorded.
The full chain exports as a documentation packet for authorization.
When a payer can see anomaly, response, and recovery on one timeline, the conversation changes. Less back-and-forth, more shared confidence in the care.
Across behavioral health, the money and the outcomes move together. Objective documentation helps patients get the length of treatment the clinical picture supports. Monitoring after discharge helps them stay connected to care when the risk is highest.
When the record shows what care is doing, the patient is more likely to get the days the clinical picture supports, not the days a thin chart can defend. Better documentation, fewer premature discharges.
Recovery is hardest after the doors close. Continued monitoring and timely outreach help keep patients connected to care, which is how programs reduce the costly returns: the ER visit, the readmission, the relapse.
Bring your census and your rates. We will pressure-test the model together.
The Huml model sits on four pillars from the addiction and trauma literature. We're explicit about what's settled science and what's still ours to prove.
Across behavioral health, what the body shows tracks with what the mind is going through.
Heart rate variability is an established window into stress and regulation.
Unresolved trauma drives dysregulation that shows up in physiology.
Randomized trials link lived-experience peer support to lower anxiety and better recovery.
Continuous monitoring in behavioral health did not start with us. Researchers and clinicians spent two decades proving that the body carries signal: heart rate variability tracks mood and craving, sleep tracks recovery, wearables can read both. Their work is peer-reviewed and published, across the conditions we serve.
Our job is not to reinvent that science. It is to bring it together into one platform a treatment program can use, and to prove it in the real world, inside live care. We hold ourselves to the same standard the literature set: signals are wellness-grade, and a clinician reads them.
The method, before the diagnosis. This is the foundational work showing consumer-grade wearables can passively and continuously capture clinically meaningful signal in daily life.
A trusted human is one of the most studied non-clinical interventions in mental health, with randomized evidence across conditions and populations.
The most developed condition-specific evidence in the field. Biometric signal can flag craving, distinguish use states, and track the autonomic recovery that unfolds over weeks in early sobriety.
Perinatal depression and anxiety are underscreened and often missed. Consumer wearables can surface the physiological changes that in-person visits don't catch.
Eating disorders carry the highest mortality in psychiatry, much of it cardiac. The autonomic nervous system is measurably altered, and wearable signal is being studied to anticipate disordered-eating episodes.
Passive signal from wearables tracks mood trajectories, opening a window between appointments when symptoms shift.
Anxiety shows up in autonomic signal. Wearable HRV separates people with anxiety disorders from controls and tracks anxiety states as they rise.
Trauma shows up in the autonomic nervous system. Wearable signal is being used to flag hyperarousal in the moment and to identify who is struggling after a traumatic exposure.
35 selected studies, several spanning more than one condition. Each links to its source. For the full annotated bibliography, contact the team.
Not a pilot deck. Three years of continuous monitoring inside live treatment centers, with the partners and researchers behind it.
This is personal. Our team brings together treatment center operators, AI engineers, and connected-device builders. Several of us are in recovery.
Meet the team and read our storyWe will show you what is proven, what is in progress, and the difference.
Substance use records fall under 42 CFR Part 2, a tighter standard than HIPAA. Consent gates every disclosure before anything is shared.
Cross-facility sharing runs on explicit, tracked consent with redisclosure limits under the 2024 Final Rule.
Encryption in transit and at rest, full audit logging, and a signed agreement with every subprocessor.
We never sell your data. We only share it with your care team and the subprocessors under a signed BAA. The device fleet is locked down and centrally managed.
We will walk consent, audit logging, and data flows end to end.
This is personal. Our team brings together treatment center operators, AI engineers, and connected-device builders. Several of us are in recovery.
We watched good programs deliver real care and struggle to show it. We watched clinicians spend nights on documentation instead of patients. And we knew from our own lives that recovery shows up in the body long before it shows up in a progress note.
So we built the platform we wished our own programs had. Objective signal, a clinician-led workflow, and a record everyone at the table can trust.
Rachel leads Huml. Before founding the company she was a general partner at Hivers & Strivers Capital, backing more than 20 early-stage companies and raising over $80M. She started Huml after watching someone she loves cycle through treatment with no continuity between sessions. A Wesleyan graduate and former soccer captain, she runs the company with one focus: reach the people the system loses.
Robby has spent his career inside addiction treatment. He got sober at 29, then helped build Kipu, the EHR that now powers thousands of treatment centers. He built and sold a residential treatment center, and founded Hygea Healthcare, three facilities he still runs. He started Huml to fix what he saw from the inside: an industry running on a model from 1935 that measures almost nothing.
Thirty minutes with the people who lived the problem.
Huml captures four kinds of signal, passively and continuously, then compares each one to the patient's own baseline. Wearable biometrics, voice, location, and validated assessments.
A facility-managed wearable measures the physical signals of recovery around the clock. Each metric is tracked against the patient's own range, not a population average.
Resting and active, all day.
A window into stress and recovery load.
Duration and disruption, night over night.
SpO2 trends overnight and across the day.
Subtle shifts that track with the body's rhythm.
A short spoken check-in, a minute of talking, is analyzed for acoustic markers in speech that research links to anxiety and depression. The patient just answers a prompt. Huml does the rest.
Voice is easier than typing for someone in early recovery, and it gives the care team another independent signal alongside the body.
In residential care, location shows presence and movement inside the building, who is where, safely, without a phone.
In aftercare on the patient's own phone, GPS adds a safety signal through the high-risk window after discharge. Shared with consent.
Huml runs validated clinical instruments as simple prompts, scored automatically and tracked over time. Twelve instruments today, configurable to the ones your program already uses.
Assign standard instruments, or build a custom one for a client. If it is validated, we can add it.
Everything Huml captures flows to the people responsible for the patient's care, in treatment and after it.
Huml flags anomalies against the patient's own baseline and texts the clinician. The clinician reviews, signs, and the record writes back to your EHR, where the rest of the chart lives.
The care team stays informed through step-down and aftercare. And with the patient's consent, the people who hold the line can stay in the loop too: a loved one, a sponsor, a peer coach, an alumni coordinator, or the clinician in PHP and IOP. Governed by 42 CFR Part 2. The patient stays in control.
Fig. 03 Consent decides who sees what. The patient holds the switch.
Your clinicians see each patient a few hours a day. Core watches the signal the other twenty, on a facility-managed smartwatch, and turns it into records your whole building can run on.
Groups are an hour. Core tracks heart rate, HRV, sleep, SpO2, and skin temperature around the clock, against each patient's own baseline. A patient says they can't sleep and wants meds. You have their sleep data.
Location inside the facility, visible to staff. Night shifts run thin; Core gives the overnight team another set of eyes. When minutes matter, no one is searching room to room.
A one-minute voice check-in carries acoustic markers research links to anxiety and depression. One more objective input for the med conversation and the treatment plan review, without adding a session.
Every anomaly, investigation, and signed note is time-stamped, objective, and built for payer review. When the reviewer asks why day 18 was needed, the chart answers, instead of your UR director improvising.
HIPAA compliant, BAA on request. Consent governs sharing, with 42 CFR Part 2 where it applies. Signals are wellness-grade and inform clinical judgment, never replace it. Your data stays yours. We never sell it.
Huml sends a text when an anomaly needs a look. The documentation goes straight into your EHR, so the chart stays complete and your team works where they already work. The dashboard is there if you want to dig into the history, not a place you have to live.
A facility-managed, locked-down smartwatch. Nothing for the patient to set up or maintain. Devices stay with the program.
Not much. Anomalies come to your team as a text, and the documentation flows into your EHR. No new system to learn, no dashboard to keep open. The Huml dashboard is there if you want to dig deeper.
Residential and inpatient programs across behavioral health that want objective signal between sessions and documentation that holds up.
The signal moves to the patient's own phone. Huml Connect carries it through PHP, IOP, aftercare, and alumni.
Documentation gaps cost authorized days. Set the sliders to your program and see what tighter, objective records protect.
Illustrative, based on the inputs you set. Not a guarantee of reimbursement or clinical outcomes. Source: Huml internal modeling, 2026.
Thirty minutes. The overnight signal, the investigation, and the record a reviewer sees.
Huml Connect is the aftercare product for PHP, IOP, and alumni. The patient moves to their own wearable and app. The signal carries through step-down and discharge, the highest-risk window, and keeps the right people close.
On their own phone, the patient sees a simple, supportive experience: check-ins, assessments, voice prompts, and gentle nudges. Behind it, Huml keeps measuring and keeps the right people in the loop.
Connect does not lock you into one device. It works with the wearables your patients already wear, so there is no program hardware to buy or manage.
Aftercare is where peer recovery coaches do their best work, and where they usually fly blind between calls. Connect gives them something to work with. The same loop serves alumni coordinators, clinicians in PHP and IOP, family, and sponsors.
When a patient's signal shifts, the coach knows to check in, before a quiet week becomes a missed one.
The coach walks into the conversation knowing how the week actually went, not just what gets said out loud.
What the coach can see is governed by the patient's consent and 42 CFR Part 2. The patient stays in control.
Coach touchpoints become part of the documented continuity of care the payer is looking for.
Across behavioral health, the strongest support is a trusted human. Huml helps that human know when to reach out, never what to conclude.
Fig. 04 The peer coach loop. Consent opens it, a person closes it.
The person chooses who is in their loop, a coach, a coordinator, a clinician, family, a sponsor, and exactly what each one can see. Per recipient, revocable.
The wearable reads rhythms quietly. No condition labels, no agency feed, nothing flagged behind their back.
When patterns shift, that person sees a gentle, wellbeing-framed prompt: rough few nights, maybe check in.
Support, not assessment. The relationship does the work.
Whoever reaches out follows a warm-handoff protocol, escalating to clinical and crisis care. Defined before launch, not improvised.
In aftercare, value comes from what does not happen: the ER visit avoided, the readmission prevented. Set the sliders to your program.
A look at how Huml Health and others in Northwest Arkansas are modernizing addiction treatment, with CEO Rachel Hobert on why care should not run on methods designed in the 1930s.
PressA feature on Huml's approach to passive biometric and voice monitoring across the full continuum of care, from detox through aftercare.
PressWesleyan profiles CEO Rachel Hobert, from soccer captain to founder, and how Huml turns wearable data and voice biomarkers into insight clinicians can trust.
PressA short broadcast segment on how Huml brings objective data and human connection into addiction recovery. Runs about a minute.
VideoHygea Healthcare adopts Huml to bridge inpatient care and post-discharge recovery, giving clinicians insight into each client's wellbeing.
PartnershipThe story behind the name and the mission, with co-founders Rachel Hobert and Robby Stempler on building trusted technology for recovery.
PressFounder and CEO Rachel Hobert was recognized on Inc.'s Female Founders 500, honoring the women building the most consequential companies in America.
MilestoneMore soon. We post funding, partnership, and product news here as it happens.
We'll walk the full workflow on a real anonymized record: the anomaly, the investigation, and the documentation a reviewer sees.
Huml writes records back to multiple EHRs. Bring yours to the demo and we will confirm fit on the call.
Devices arrive configured, and our team runs onboarding with yours. We will map a timeline to your program on the call.
We will walk pricing for your program size on the call. No surprises, and no obligation.
HIPAA compliant, with consent-governed sharing built to the 42 CFR Part 2 standard. We never sell your data.
The clinician, every time. Huml surfaces signal. It never replaces clinical judgment.
Huml brings three things into one place: wearable biometrics, client-reported assessments, and pattern recognition that surfaces signal for the clinician. It writes back to your EHR, so insights are easy to act on and share.
No. Huml works alongside what you already do. It adds objective insight and accountability, it does not replace clinical care.
Heart rate, heart rate variability, sleep, blood oxygen, skin temperature, and movement, around the clock against each client's own baseline.
Standard instruments including PHQ-9, PHQ-15, GAD-7, URICA, BAM, and BAM-IOP, plus custom assessments. They run in the app, so there is less admin and a smoother audit.
It learns each client's normal range and flags when signal moves away from it, so the clinician sees a shift earlier. The clinician interprets and decides. It is decision support, not a diagnosis.
Yes, and that is where it does some of its best work. Huml Connect carries monitoring and support through aftercare, when relapse risk is highest.