Your health,
better tracked.
A simpler, more intelligent way to monitor your vitals, understand trends, and take control of your well-being with predictive analytics.
Smarter insights for a healthier you
Pulsar transcends simple step counting. We use predictive intelligence to give you actionable foresight into your wellbeing.
Hyper-Accurate Predictive Analytics
Pulsar doesn't just track where you've been. It forecasts where your health is trending, giving you the power to prevent fatigue before it hits.
Real-time AI Vitals
Instantly capture and process key metrics using edge-computed generative models.
Automated Pre-emptive Alerts
Set personalized baselines and receive immediate notifications if anything strays outside your optimal zones.
Holistic Device Synchronization
Seamlessly integrate with your existing wearables (Apple Watch, Oura, Whoop) to form a complete, unified picture of your overall wellbeing without manual entries.
Intelligence seamlessly integrated
We do the heavy computational lifting so you can focus on living better. Just three simple steps to predictive health.
Connect & Collect
Sync your Apple Watch, Oura Ring, or Whoop strap securely. Pulsar continuously ingests your raw vitals in the background.
Process & Predict
Our proprietary AI models analyze your biometric trends, identifying patterns and generating personalized predictive forecasts.
Act & Optimize
Receive actionable insights and preemptive warnings directly to your dashboard, allowing you to optimize your health before issues arise.
Trusted by high performers
Join thousands of optimizing individuals who rely on Pulsar to maintain their peak state.
"Pulsar caught a downward trend in my HRV three days before I felt symptoms of a cold. The predictive analytics are simply unmatched."
Dr. Sarah Chen
Sports Physician
"I've tried a dozen tracking apps. None of them aggregate data from my Whoop and Apple Watch as cleanly and beautifully as Pulsar does."
Marcus Reynolds
Triathlete
"As a data scientist, I appreciate the transparency of the ML models. As a user, I appreciate that I don't have to think about them to get value."
Elena Rodriguez
Machine Learning Engineer