Provider-facing decision support for addiction treatment

Disengagement doesn't wait for discharge.
Neither can we.

Provider-facing decision support for addiction treatment. Divinia helps care teams recognize observable changes in engagement and follow through, without replacing clinical judgment.

Talk with our team See how it works

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.

01

Capture observable participation

Bring attendance and engagement information into one usable view.

02

Apply transparent program rules

Surface patterns based on criteria the provider can inspect, configure, and override.

03

Route and document follow-through

Notify the appropriate staff member and preserve an accountable record of the response.

What it looks like

One flag, followed all the way through.

Illustrative workflow using synthetic data.

Principles

Built around clinical judgment.

Clinicians stay in the loop

Divinia informs care. It doesn't automate it away. No flag should drive a high-stakes decision on its own.

Designed around 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, by default

De-identified and synthetic data come first. Identifiable patient data is used only under appropriate governance, security controls, and data agreements.

Who's building this

Meet the team.

Ben Sprouse

Ben Sprouse

Founder & CEO

Strategy, clinical product direction, and partnerships.

Francesca

Francesca Basta

Operations & Research

Operations, research, partnerships, and project coordination.

Tram Nguyen

Tram Nguyen, PhD

Product & Technology

Product leadership, technical architecture, and clinical workflow development.

Jessica Mo

Jessica Mo

Research & Strategy

Evidence synthesis, outcomes design, and research coordination.

Zhangbo (David) Cheng

Zhangbo (David) Cheng

AI Engineering & Systems Architecture

AI engineering, systems architecture, and technical development.

Right now

We're developing and testing this workflow using synthetic and de-identified data, in preparation for a pilot inside a live behavioral health treatment program, under appropriate clinical governance, security controls, and data agreements.

Get in touch

Let's talk.