CAVIA is a digital phenotyping infrastructure developed by TendersLab that passively collects social, movement, and connectivity data from mobile devices. It enables continuous clinical research and biomarker dataset generation at scale, without requiring active patient input.

Which hospitals use CAVIA?

CAVIA is currently deployed at Soroka University Medical Center in Beer Sheva, one of Israel's leading academic hospitals. The platform is expanding to additional hospital partners.

What conditions can CAVIA help study?

CAVIA's digital phenotyping infrastructure can be configured for a wide range of clinical research areas including psychiatric disorders, neurological conditions, chronic disease management, and post-surgical recovery monitoring through passive behavioral data collection.

How does digital phenotyping work?

Digital phenotyping involves the passive collection of data from smartphone sensors and usage patterns - including movement, social interaction frequency, sleep patterns, and app usage - to build a continuous behavioral profile that can serve as a clinical biomarker. CAVIA automates this process for hospital-grade research.

✓ Sole Supplier at Soroka Medical Center - 2 Years Active

The World's Most Accessible Medical Sensor is Already in Their Pocket

Turn smartphones into clinical data tools. Collect continuous digital biomarkers securely and frictionlessly - with no new hardware or patient training required. Proven in a live hospital environment, not a lab.

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CAVIA is a digital phenotyping infrastructure developed by TendersLab that passively collects behavioral data from patients' smartphones - including movement, social interaction, sleep patterns, and app usage - to generate continuous clinical biomarkers without requiring active patient input. CAVIA is currently in clinical use at Soroka University Medical Center in Beer Sheva.

Product type: Digital phenotyping platform
Technology: Passive mobile data collection (iOS & Android)
Deployed at: Soroka University Medical Center
Use case: Clinical research & biomarker dataset generation
Status: Active clinical deployment
Developer: TendersLab, Ramat Gan, Israel

How CAVIA Works

A passive, privacy-first pipeline - from raw sensor data to structured phenotype datasets.

Passive Collect

The background app silently captures digital biomarkers every 30 seconds - no user action needed.

Motion Location Calls App Usage

On-Device Processing

Raw sensor readings are structured locally - no cloud upload of identifiable personal data.

Edge Compute Privacy-First

Secure Sync

Anonymised phenotype records sync to your organisation's secure server for longitudinal storage.

10TB+ Datasets Privacy-First

Expert Analysis

Your clinical team analyses the structured datasets to extract behavioural signals and clinical insights.

Research-Ready API Access

Built for Impact

A unified platform - deployed and validated in a real clinical environment.

Sensor Collection

Study Management

Empower Clinical Research

Replace subjective questionnaires with objective digital biomarkers. Build rich datasets for your independent analysis without patient friction.

Remote Patient Monitoring Research Analytics 10TB+ Datasets

Remote Patient Monitoring

Extend research beyond the hospital. Observe patients securely in their natural environment to build comprehensive baseline phenotype models.

Telehealth Early Detection Longitudinal Data

25+ Detectable Clinical Conditions

2,100+ Published Studies on Digital Phenotyping

2 yr Validated at Soroka Medical Center

View Clinical Evidence

Bring CAVIA to Your Organization

CAVIA has been running continuously for 2 years at Soroka Medical Center - where TendersLab holds Sole Supplier status. Over 10TB of clinical phenotype data collected. Now expanding to new hospital partners.

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Want to See the Data?

Explore our detailed case study covering the Soroka Medical Center deployment - sensor accuracy metrics, dataset architecture, and study results.

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