## World class research

and development.

Our commitment to rigorous scientific inquiry ensures that our products are reliable and effective.

### 8.4M+

Days of Data

We draw on over eight million days of real-world data to capture health, lifestyle and behavior patterns at scale that inform our research.

### 500k+

Profiles

Our models are validated on half a million profiles from around the world, ensuring our findings are inclusive, reliable and widely applicable.

### 50k+

Clinical Samples

We have collected tens of thousands of clinical assessments, allowing us to build foundational health and behavioral models.

### Evidence-based Approach

#### Guided by State-of-Art Literature

Backed by cutting-edge research in digital phenotyping through internal and external research projects collaborating with leading universities and research organisations.

#### Verified with Internal Studies

We conduct our own studies to verify these findings using our extensive dataset.

#### Driven by Domain Expertise

Our team of PhDs collaborate with leading professors to ensure the highest standards of research and development.

### Research Studies

We regularly publish scientific white papers, studies on the topic of digital phenotyping within applications.

[View all](/content/research/studies/index.html)

- [Mar 25, 2025 \ Class recommendation with archetypes](/content/research/research-studies/class-recommendation-with-archetypes/index.html)
- [Feb 5, 2025 \ Mental state and activity](/content/research/research-studies/mental-state-and-activity/index.html)
- [Dec 20, 2024 \ Behavioral Markers From Digital Health Data](/content/research/research-studies/behavioral-markers-from-digital-health-data/index.html)
- [Sep 20, 2024 \ How to evaluate mental wellbeing using digital health data?](/content/research/research-studies/how-to-evaluate-mental-wellbeing-using-digital-health-data/index.html)
- [Jul 14, 2024 \ Behavioral Health Monitoring: Smartphone-Based Stress Detection](/content/research/research-studies/behavioral-health-monitoring-smartphone-based-stress-detection/index.html)

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