Our Story

Built by People Who
Lived the Problem.

Addie started in a hospital discharge office, not a startup incubator. We saw the fax machines, the whiteboards, the phone tag — and built the platform we wished existed.

92%

Match Accuracy

10+

Years of Problem Research

Stakeholders Served

Our Mission

"Every patient deserves a safe, timely transition to the right care — and every provider deserves the tools to make it happen without the friction."

— The Addie Team, PEP Inc.

How Addie Came to Be

Four Vantage Points. One Broken System.

Addie didn't start with a pitch deck. It started with four people — a physician watching medically ready patients sit in hospital beds for days, a transition specialist navigating opaque referral networks, a computational scientist modeling discharge as a probabilistic system, and a clinician asking whether the predictions would actually work at the bedside.

They all saw the same failure from different angles: discharge is not a single decision — it is a continuous, multi-stakeholder, multi-variable process that the industry was still managing with fax machines and phone tag.

Addie is what they built instead. Not an EHR replacement. Not a referral directory. A living clinical coordination network that predicts, orchestrates, and learns — continuously — so that the right patient reaches the right place at the right time.

1 of 10

Origins

Four disciplines, one diagnosis.

A PeaceHealth physician, a transitions specialist, a computational scientist, and a clinical engineer each document the same systemic failure — from the bedside, the back office, the algorithm, and the workflow. The conclusion is unanimous: this is a systems problem, not a staffing problem.

2022

Reactive baseline documented.

Late-stage, manual discharge workflows are mapped across health systems — high variability, limited post-acute visibility, fragmented coordination. The cost: delayed discharges, avoidable readmissions, and patients waiting in beds that should be available.

2022 – 2023

PEP structured placement framework.

Standardized workflows and direct case management improve referral timing and coordination — but reveal the ceiling of human-dependent processes at scale. The insight: better execution of a broken process isn't the answer. The process itself must change.

2023

Early Addie models.

Admission-stage discharge awareness shifts the model from reactive to proactive — clinical teams gain visibility into likely disposition before the discharge conversation begins. The shift: from responding to transitions to anticipating them.

Late 2023

Predictive intelligence.

AI models debut for disposition (home vs. SNF) and services (Home Health, Hospice). Static rules are replaced by dynamic, probabilistic inference that updates continuously with patient progression — a computational shift that makes every prediction more accurate over time.

Early 2024

Mayo Clinic Platform partnership.

Formal collaboration with the Mayo Clinic Platform validates Addie's AI models at enterprise scale, accelerates EHR integration pathways, and provides institutional endorsement. Addie enters the Mayo Clinic Platform Solutions Catalogue — the transition from development-stage tool to clinically credentialed platform.

2024

EHR-embedded orchestration.

Addie is engineered for workflow-native delivery — real-time recommendations surfaced inside Epic and Cerner. No new tabs. No duplicate data entry. Decision support woven directly into the clinical workflow, where the work is already happening.

2024 – 2025

Network-aware optimization.

Clinical acuity, provider capabilities, and live capacity constraints are incorporated into every placement recommendation. The model now accounts for not just what the patient needs, but what the network can actually provide — reducing failed placements for every stakeholder.

2025

Multi-stakeholder alignment.

Addie is architected to give hospitals, post-acute providers, and payers a shared structured clinical data layer — enabling faster authorizations, cleaner handoffs, and coordination that benefits every party, including the patient.

2026

Closed-loop orchestration.

Continuous cycle: ingest → predict → recommend → orchestrate → reassess. Built to align patient trajectory, clinical intent, and network capacity in real time — with the goal of reducing length of stay, lowering readmissions, and improving placement outcomes for every patient in transition.

The Team

People Behind the Platform

Healthcare operators, engineers, and clinicians — united by one mission.

Sean Bozorgzad, MD

Chief Executive Officer — Potentia Analytics

Physician executive and health system strategist with deep roots in clinical operations at PeaceHealth. Sean leads Addie's overall vision, bringing firsthand understanding of the care transition challenges facing hospital systems and the clinical rigor required to solve them at scale.

Shahram Rahimi, PhD

Chief Science Officer — Potentia Analytics

Computer scientist and AI researcher whose academic work at the University of Alabama underpins Addie's intelligence layer. Shahram architects the machine learning models that power clinical matching, outcome prediction, and the platform's adaptive network intelligence.

Tim Hanson, MD

Chief Engineer — Potentia Analytics

Physician leader with a track record of bridging clinical practice and enterprise health system strategy. Tim drives Addie's enterprise partnerships and ensures the platform delivers measurable outcomes that resonate at the C-suite level across hospital networks.

Tim Poore

Chief Revenue Officer — ATP Healthcare

Healthcare revenue strategist with a career built at the intersection of operations and growth. Tim leads Addie's go-to-market strategy, hospital partnerships, and commercial expansion — bringing the operator's perspective to every sales conversation and every health system relationship.

LinkedIn Email

What We Believe

Our Operating Principles

The values that guide every product decision, partnership, and hire.

Patient First, Always

Every algorithm, every workflow, every product decision is filtered through one question: does this get the patient to the right place faster and more safely?

Radical Transparency

We show hospitals which PAC partners declined referrals and why. We show PAC providers their quality scores. Transparency builds better networks.

Built to Integrate

Addie doesn't ask hospitals to change workflows. We plug into Epic, Cerner, and MEDITECH natively — because adoption only happens when change is invisible.

Trust Through Compliance

HIPAA-aligned by design. Every data flow, every integration, every API call is built with protected health information standards as the baseline — not an afterthought.

Speed is Clinical

Every hour a patient waits for placement is a clinical event. We optimize for time-to-placement because we understand that speed isn't a feature — it's a care outcome.

Network Effects, Shared

Every hospital that joins makes matches better for PAC partners. Every PAC partner that joins improves outcomes for patients. We build the network — you benefit from it.

Built on Trust

Compliance & Integration Standards

Built to the requirements of the most security-conscious health systems in the country.

HIPAA-Aligned

BAA Included

SOC 2 Compliant

HL7 FHIR R4

Epic App Orchard

🏥

For Hospitals

Real-time discharge intelligence designed to live inside your EHR — built to reduce boarding, lower readmissions, and give coordinators more time with patients.

🏠

For Post-Acute Providers

Clinically matched referrals from a network of hospital partners — designed to replace cold calls and fax-based coordination with intelligent, criteria-driven connection.

📋

For Payers

Transition visibility, network steering, and readmission prevention — built to give health plans meaningful oversight across every member in transition.

Ready to See Addie
in Action?

Explore how Addie can reduce boarding time, improve discharge outcomes, and create a better care experience for every patient, provider, and plan in your network.

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Built by People WhoLived the Problem.