Capture observable participation
Bring attendance and engagement information into one usable view.
Provider-facing decision support for addiction treatment
Disengagement doesn't wait for discharge.Neither can we.
Divinia helps addiction-treatment teams recognize observable changes in attendance and engagement, route concerns to the right staff member, and document what happens next. It supports clinical judgment. It does not replace it.
The gap
Participation can begin to change long before a crisis or discharge. Yet the relevant information is often fragmented across attendance records, staff observations, and handoffs, making it difficult for care teams to recognize a pattern and respond consistently.
How it works
Three moves, in order.
Apply transparent program rules
Surface patterns based on criteria the provider can inspect, configure, and override.
Route and document follow-through
Notify the appropriate staff member and preserve an accountable record of the response.
What it looks like
One signal, followed all the way through.
Illustrative workflow using synthetic data. Not a live system and not real patients.
Stage 01
Participation comes into view
Attendance and engagement information appears in one provider-facing view.
Patient AOn track
Patient BReview
Patient COn track
Principles
Built around clinical judgment.
Clinical authority
Divinia informs care. No flag should drive a high-stakes decision on its own.
Provider data control
Built for the clinics and programs actually providing care, not around them.
Transparent by design
Every signal traces back to something a clinician can see, question, and override.
Privacy-first
Identifiable patient data is used only under appropriate governance, security controls, and data agreements.
Who's building this
Meet the team.
Ben Sprouse
Founder & CEOStrategy, clinical product direction, and partnerships.
Francesca Basta
Operations & ResearchOperations, research, partnerships, and project coordination.
Tram Nguyen, PhD
Product & TechnologyProduct leadership, technical architecture, and clinical workflow development.
Jessica Mo
Research & StrategyEvidence synthesis, outcomes design, and research coordination.
Zhangbo (David) Cheng
AI Engineering & Systems ArchitectureAI engineering, systems architecture, and technical development.
Right now
We're developing one narrow attendance-and-engagement workflow using synthetic and de-identified data. Any future operational use will begin only under appropriate clinical governance, security controls, and data agreements.
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