About — n1.care

Our Mission

Healthcare should be personal.

Clinicians spend too much time piecing together patient records — scanning PDFs, cross-referencing lab results, manually tracking biomarker trends. We believe that process should be automated, so clinicians can focus on what they do best: caring for patients.

n1.care is a platform where medical records are uploaded, automatically parsed into structured data — biomarkers, diagnoses, procedures, genetics — and then analysed by AI to generate comprehensive health reports. Multiple report types, each with a different clinical lens, ensure the right insight for every patient and every consultation.

The Team

Who we are.

A cross-disciplinary team of clinicians, data scientists, AI engineers, and health optimisation experts — trained at leading institutions and united by a passion for precision health.

Jean-Yves Sireau

Founder & CEO

Leah Elise

Director of Clinical Partnerships & Marketing

Jasper Middendorp

Engineering Manager

Arun Venkataraman

Principal Engineer

Aniruddha Deshpande

Senior AI Engineer

Dr. Dannette Kallay

Integrative Physician

Umar Shah

Senior AI Engineer

Darpan Bafana

DevOps Engineer

Coen Elferink

Senior Frontend Developer

Yousuf Sarfraz

AI Engineer

Jun An Tan

AI Engineer

Paawan Purdhani

AI Engineer

Neshalini Sathiabalan

Clinical Research Coordinator

Siew Mei Lau

Clinical Research Coordinator

Our Values

What guides us.

Scientific Rigour

Every report is grounded in peer-reviewed research and validated clinical standards. We don't speculate — we cite. Our AI models are calibrated against clinical evidence before any insight reaches a report.

Patient First

We design for the clinician using the platform and the patient receiving the report. Clear language, actionable recommendations, and clinical utility — these are non-negotiable.

Accessibility

AI-powered clinical intelligence shouldn't be reserved for elite institutions. We're building a platform that makes advanced health analysis accessible to clinicians everywhere — from large hospitals to independent practices.

Privacy & Security

Medical records, biomarkers, and genetic data are among the most sensitive information that exists. We treat data protection not as a compliance checkbox but as a foundational design principle.

Transparency

We show our work. Every recommendation links back to its evidence base. Every risk score explains its methodology. If we don't have enough data, we say so explicitly.

Continuous Improvement

Clinical science moves fast. Our report models evolve with the latest research — new clinical guidelines, emerging biomarker associations, and improved AI analysis are integrated on an ongoing basis.

Cross-disciplinary.
Science-driven.

Healthcare should be personal.