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Prevention Settlement Billable Evidence PSM Attribution
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About ReHealth Core

Building the Decision Infrastructure for Preventive Medicine

ReHealth AI, founded in 2025 in Hangzhou, builds decision infrastructure for preventive medicine — organizing intervention outcomes into auditable causal evidence for payer evaluation.

Founded in Hangzhou in 2025, ReHealth AI is building the infrastructure to solve preventive medicine's core commercialization challenge — converting intervention outcomes into causal evidence accepted by healthcare payers. We're not another health management company. We're the infrastructure that makes health management billable.

2025
Founded
Hangzhou
Headquarters
RMB 4M
Seed Round
0.839
Cardiovascular AUC
Mission & Positioning

What We Believe

🎯

Prevention Should Be Quantifiable

"Prevention is better than cure" is medicine's oldest consensus, but it has never been translated into payer language. Our mission: give prevention a price tag through verifiable causal evidence that makes payers willing to pay.

🏗️

Infrastructure, Not Application

We don't build health apps, checkup platforms, or wearables. We build the underlying infrastructure that chains all their data into causal pathways and converts it into billable evidence. Electricity isn't an appliance; Alipay isn't a store — ReHealth AI is preventive medicine's "payment rail."

⚖️

Causation, Not Correlation

The market is flooded with "participants are healthier" correlation data, but payers don't pay. We use PSM to eliminate selection bias and quantify true causal effects. Causal evidence is our core barrier and the industry's inevitable path.

🔒

Privacy Is a Baseline, Not a Feature

Under federated learning, raw patient data never leaves the institution. Differential privacy protects model gradients. Triple-law compliance isn't a competitive advantage — it's the minimum standard for medical AI. We've built to this standard from day one.

Core Team

Cross-Disciplinary, Full-Stack Capability

Our team covers AI algorithms, clinical medicine, and medical device commercialization end-to-end — from model R&D to regulatory registration to commercial deployment.

👤
Founder & CEO
Peijun Chen
Company Development · Strategy · Product Definition · Ecosystem Building
Leads company strategy, annual operating goals, and product direction; coordinates resources and major business decisions. Manages relationships with core customers, strategic partners, and investors to advance commercial collaboration and organizational execution.
Product Strategy Ecosystem
🧠
Co-founder · Clinical Lead
Jiaming Wu
UCL PhD in Computational Neuroscience · Multi-center Clinical Projects and Healthcare AI Collaboration
Leads clinical research-question definition, real-world study design, and clinical-data collaboration. Reviews the clinical applicability of risk prediction, intervention evaluation, and causal attribution, and works with healthcare institutions and research partners on clinical-AI delivery and methodology discussions.
UCL PhD Clinical Research AI/ML
Co-founder · Technology Implementation Lead
Tianfan Fu, PhD
Georgia Tech PhD · PhD Supervisor at Nanjing University · National Young Talent
A researcher in AI for healthcare and AI for Science. Led open datasets including TDC and TrialBench, with clinical-trial AI work deployed at IQVIA; published 40+ papers including Nature-family and NeurIPS venues. Leads clinical-AI strategy, multimodal modeling, and industry-collaboration guidance.
AI for Science Multimodal AI TDC TrialBench
Milestones

Key Milestones

1
2025.03
Company Founded
ReHealth AI (Hangzhou) officially registered, beginning construction of preventive medicine decision infrastructure.
2
2025.Q2
Core Algorithm R&D Completed
Cardiovascular risk prediction model (AUC 0.839) and PSM causal attribution engine completed, validated on NHANES and CHARLS dual datasets.
3
2025.Q3
Core Patents Filed
Filed multiple core patents covering cardiovascular prediction, federated learning architecture, causal attribution and settlement mechanisms.
4
2025.Q4
Core Modules Developed and Internally Validated
Completed development and internal validation of core modules for risk prediction, intervention management, PSM attribution, and evidence reporting, preparing for initial institutional deployments. The HealthAgent multi-agent simulation framework is open source.
5
2026.Q1
Seed Round Closed
Completed a RMB 4 million seed round. Covered by 36Kr, Vbdata, Pedaily, and other media. ICP filing is complete; Class II medical device registration work is progressing.
6
2026.Q2
Commercialization Push
Advancing partnership discussions with hospitals, insurers, and employers for initial client integration and POC validation.
Compliance & Credentials

Medical-Grade Compliance

🔒

Data Never Leaves

Federated learning: raw patient data stays on-premise at all times.

📋

Triple-Law

Compliant with PIPL, DSL, and CSL.

🔬

Study Methodology

Attribution design references real-world study methodology; drug or device registration submissions require separate work under applicable NMPA requirements.

🏅

Core Patents

Covering prediction, FL, attribution, and settlement.

🏥

Class II Device

Medical device software registration in progress.

🤝

Strategic Investor

Seed round closed with strategic healthcare investor.

Contact Us

We'd Love to Work with You

📧

Business Inquiries

peijun@rehealth-ai.cn
📍

Address

Hangzhou, Zhejiang, China

📰

Media Inquiries

peijun@rehealth-ai.cn

Join Us in Building the Future of Preventive Healthcare

Whether you're a hospital, insurer, employer, or pharma company, ReHealth Core provides full closed-loop support from prediction to settlement.

Key Takeaway

Founded in 2025, ReHealth AI focuses on solving the core bottleneck in preventive medicine commercialization: turning intervention outcomes into auditable causal evidence for payer evaluation. Core team from UCL, Harvard Medical School, and Alibaba DAMO Academy.