Vision Apps Intel Get Updates
Applied Intelligence for Active Lives

Turning Raw Data into Competitive Advantage.

Wearables generate noise. We engineer the clarity you need. Sensora builds the specialized software layer that transforms sensor metrics into real-world performance gains.

Finding the Signal

Modern wearables are powerful, but they aren't clinical instruments. They capture trends, not absolutes.

Our mission is to contextualize that data. We build algorithms that respect the limitations of hardware while extracting the patterns that actually matter for your training, recovery, and longevity. We don't just show you the chart; we tell you what to do with it.

Our approach to data

Context over Accuracy

Absolute numbers vary by device. We focus on your personal baseline and relative trends.

Your Data, Your Rules

We are a software company, not a data broker. Your metrics stay with you.

Utility First

If a metric doesn't help you make a better decision today, we strip it out.

The App Ecosystem

Specialized tools for specific disciplines.

Live

Synapse

The daily recovery engine. Analyzes HRV and sleep to provide a simple readiness score.

  • Integrates with Garmin/Apple
  • V2 Recovery Algorithm
Visit Website

Velo

For the endurance cyclist. Power curve analysis and aerodynamic efficiency tracking.

In Development

Court

For Tennis and Padel. Tracking load on explosive lateral movements to prevent injury.

Planned 2026

Chronos

The longevity dashboard. Correlating biological age markers with lifestyle inputs.

Research Phase

Sensora Briefings

Deep dives into the mechanics of performance and the algorithms that track it.

Abstract cell biology
Recovery

HRV Complexity: Why "High" Isn't Always Better

A breakdown of non-linear HRV dynamics and what they actually imply for your morning readiness.

Oct 12 • 5 min read
Runner sprinting
Longevity

Zone 2 Training and Mitochondrial Density

The physiological argument for low-intensity steady-state cardio in the aging athlete.

Sep 28 • 8 min read
Abstract data network
Tech

Inside the V2 Algorithm

Why we moved from linear weighting to machine learning models for clearer recovery signals.

Sep 15 • 4 min read