Mental health education your whole organization can stand behind
License one platform for clinical care, peak performance, and applied neuroscience. Measure outcomes across every clinician, keep AI safety governable and auditable, and run it all under your own brand.
Who evaluates it, and who runs it
Illustrative fictional personas, not customer testimonials.
Dr. Priya Nair
Clinical Director, multi-clinician group
Oversees a 12-clinician behavioral-health group
Dr. Nair evaluates platforms for the whole group. She cares about outcomes across the panel, a defensible safety and compliance posture, clinician oversight without micromanagement, and a clear return on the licensing spend.
Dr. Maya Chen, PMHNP-BC
Psychiatric Nurse Practitioner
Solo telehealth practice, anxiety / depression / trauma-informed care
Dr. Chen licenses the platform for her practice. She watches a small panel of patients between visits, gets notified the moment the safety classifier flags distress, and walks into each session already knowing what changed.
Oversight without micromanagement
What leadership sees across the group
Real screenshots from the provider and platform surfaces. Click any image to see it full size.
Outcomes across the whole group
Dr. Nair sees engagement and progress across every clinician’s panel in one view, so she can tell which programs are working without pulling each chart by hand.
Measured outcomes, not vibes
Completion rates, assessment trajectories, and engagement trends turn the program into something Dr. Nair can report on and defend at the leadership table.
Safety monitoring at scale
A single queue surfaces distress signals across the group, so no patient slips through the gap between clinicians.
Governable, auditable AI
The spot-check workflow gives Dr. Nair a documented human-in-the-loop process for the safety classifier, which is exactly what risk and compliance reviewers ask for.
A defensible compliance posture
Each practice can run on a dedicated, BAA-eligible instance with PHI isolation, so Dr. Nair’s procurement and security reviews have something concrete to sign off on.
One platform, three schools
The same license covers clinical care, peak performance, and applied neuroscience, so one contract serves both patients and a broader wellness population.
Your brand, your domain
Tenancy lets the group run under its own name, colors, and domain, so patients see Dr. Nair’s brand and the group keeps the relationship.
A clear line to ROI
Tying engagement to outcomes and retained patients gives Dr. Nair the numbers she needs to justify the licensing spend at renewal.
Built for the people who sign the contract
Clinical directors, compliance leads, and operators all get something concrete to say yes to.
Defensible compliance
A HIPAA-ready posture, dedicated per-tenant instances, and a documented AI governance loop that survives a security questionnaire.
Outcomes you can report
Engagement, completion, and validated assessment trends roll up across clinicians, so program value is a number, not a feeling.
Your brand, your moat
White-label tenancy keeps patients in your world. Usage produces data that improves the AI, which compounds into a moat only your group holds.
What procurement asks
The questions that decide whether a platform makes it past review.
- Is the platform HIPAA compliant?
- The architecture is HIPAA-ready. For real PHI workloads each organization runs on its own dedicated instance with a BAA-eligible provider and tenant isolation, so patient data is never co-mingled across practices.
- Can we run it under our own brand?
- Yes. White-label tenancy lets you set your own name, colors, and domain. Patients see your brand, and your group keeps the relationship while the platform runs underneath.
- How is pricing structured for organizations?
- Organizations license the full platform. We work with you on a model that fits your size, from per-clinician licensing to revenue share on patient subscriptions. Contact sales for a quote scoped to your group.
- How do you handle AI safety and governance?
- A safety classifier flags supported distress signals in real time, immediately emails linked providers, and adds the event to their secure queue. A human-in-the-loop spot-check workflow lets clinicians review and label classifier calls, producing the audit trail used for model evaluation and retraining.
- Do clinicians keep their own judgement?
- Always. Every AI surface is advisory, never prescriptive. Medication and risk language is never AI-authored. The platform supports the clinician and documents the work; it does not make clinical decisions.
- What outcomes can we actually measure?
- Engagement and completion rates, validated assessment trajectories (such as PHQ-9 and GAD-7), and retention across the whole panel, so program impact is reportable rather than anecdotal.
Bring it to your group
Tell us about your clinicians and your compliance needs, and we will scope a dedicated instance and a pilot.