🚀 Proven Technology • Ready for Deployment

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.

How CAVIA Works

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

1

Passive Collect

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

Motion Location Calls App Usage
2

On-Device Processing

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

Edge Compute Privacy-First
3

Secure Sync

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

10TB+ Datasets HIPAA-Ready
4

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.

CAVIA Sensor Collection
Sensor Collection
CAVIA Study Management
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 Clinical Decision Support 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

Bring CAVIA to Your Organization

CAVIA has been validated with hundreds of participants at Soroka Medical Center, where TendersLab served as Certified Sole Supplier. We are expanding to new healthcare and research partners.

Inquire About Partnership

Want to See the Data?

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

Read Technical Case Study