Case study

Ephyrium: Personalized Recovery Intelligence Platform

See how Perfectory AI shipped an AI recovery copilot MVP in 9 weeks with personalized daily plans, Apple Health signals, adaptive onboarding, and a production path for health and wellbeing teams.

Shipped an AI recovery copilot from concept to MVP in 9 weeks with personalized daily plans.

Direct answers

What did Perfectory AI build for Ephyrium?

Perfectory AI built an AI recovery copilot MVP that turns onboarding answers, behavioral feedback, and health signals into personalized daily recovery plans.

Why is this case relevant for AI health product teams?

The project shows how a health or wellbeing team can move from product idea to AI-powered MVP with personalization, feedback loops, and a measurable path to production.

Measured business impact

Time to MVP: 9 weeks

Plan completion: +31% weekly adherence

Manual support load: -42% triage effort

Case study FAQ

Can Perfectory AI build similar AI wellness or health products?

Yes. Perfectory AI can help define the MVP scope, design the personalization engine, connect user data sources, and ship a controlled AI product with human review and measurable outcomes.

What makes this more than a chatbot?

The system connects product flows, user context, feedback, and health signals so the AI output becomes part of a repeatable recovery workflow instead of a generic conversation.

Planning an AI automation initiative? Read the AI automation POC guide.