Sapios Health
Sapios transforms real-world human behaviour into structured, objective insights that support clinicians, healthcare organisations, researchers, and other health partners.
How Sapios works
Structured insight from real-world behaviour
Capture
Document selected behaviour with accessible sensors and a defined protocol.
Structure
Organise signals into events, timelines, and clear summaries.
Review
Give qualified professionals objective material for their own decisions.
First application
Medical driving evaluation
Sapios can structure observations from real-world driving for medical driving evaluations. It provides reviewable behavioural evidence. It does not provide a diagnosis or an automatic decision.
Clinicians and authorised professionals remain responsible for clinical and fitness-to-drive decisions. Driving licensing performance data is not a clinical result.
Material for professional review
Time linked behavioural events. Consistent session summaries. Supporting evidence for existing assessment processes.
PROVEN IN THE FIELD
Built for the real world. Recognized by it.
Our automated road-test system is already used by the Virginia DMV and California DMV, with independent recognition for advancing objective, data-driven mobility evaluation.
PUBLIC-SECTOR DEPLOYMENT
In use with Virginia DMV and California DMV
ARTS brings a consistent, reviewable evaluation process to real driving-test environments.
TIME · 2025
Best Inventions
Recognized by TIME among the year’s notable transportation innovations.
POPULAR SCIENCE · 2025
Best of What’s New
Included in Popular Science’s annual selection of breakthrough technology.
EDISON AWARDS · 2026
Gold · Intelligent Mobility Systems
Awarded Gold by the Edison Awards for the Automated Road Test System (ARTS).
Partnership areas
Work with Sapios Health
Healthcare providers and hospitals
Explore how structured behavioural evidence can support established assessment pathways.
Researchers and public institutions
Define responsible studies and public interest applications for real-world behaviour data.
Payers and insurers
Study consent based evidence models for service design and evaluation.
Industry partners
Develop sensing, workflow, and data infrastructure for defined health use cases.
Research and future applications
Research starts with a clear question
Our next research direction explores how real-world behavioural data could contribute to a deeper understanding of cognitive and neurological health. Working with clinical and academic partners, we aim to investigate these possibilities through responsible research and rigorous validation.
Defined protocols and expert interpretation
Each project should define the setting, consent process, data governance, review method, and interpretation limits before data collection begins.
HEALTH LEADERSHIP
We bring together expertise in public health, epidemiology, clinical strategy, rehabilitation, and responsible health technology development.

Dr. Andreea Badache
Head of HealthTech
Ph.D. in Medical Sciences with a specialization in epidemiology, ageing, and disability research.
Andreea leads the health strategy behind SapiOS and develops collaborations with hospitals, researchers, public institutions, and industry partners. She has worked with WHO, ECDC, PAHO, and the European Commission across epidemiology, rehabilitation, health systems, and health policy. Her work connects scientific evidence, real-world behavioural data, and responsible health technology development.

Dr. Delaram Kohan
Clinical Research Scientist
Medical doctor with expertise in clinical practice and healthcare.
Delaram provides medical guidance to SapiOS Health, helping align its development with clinical needs and responsible healthcare applications. She contributes to clinical partnerships and the translation of real-world behavioural data into relevant tools for healthcare professionals.
Credibility
Experience in robotics, sensing, and human behavior
The Sapios team works across robotics, computer vision, sensing, and human behaviour analysis. Health applications are developed with domain experts and clear review boundaries.
Working principles
Reviewable outputs. Application specific protocols. Professional oversight. Partnership led development.
Partner with Sapios Health
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