Principles
Every health app tracks. We want to understand. Here's how we think about the problem — and why causation matters more than correlation.
The problem with correlation
Most health and wellness tools rely on correlations: “when X happens, Y tends to follow.” That's useful, but it's not the whole story.
What everyone else does
- “Sleep and mood are connected”
- “These factors correlate with how you feel”
- “I notice you've mentioned X three times”
What we do
- “For you, poor sleep + skipped exercise causes mood drops”
- “Sleep alone isn't the problem — it's what's driving both”
- “If you change X, here's what happens to Y”
Correlation tells you what happened together. Causation tells you why — and what you can actually change.
Causal discovery
We use proprietary methods from causal inference to move beyond pattern-matching.
Drivers vs. symptoms
Causal discovery reveals which factors are upstream causes and which are downstream effects — something correlations can't distinguish.
Early signals
Identify patterns that precede changes before they compound, enabling you to respond rather than react.
Actionable interventions
Suggestions grounded in causal structure — change what actually matters, not what merely correlates.
Personal science
Population averages hide individual truth. We build models for you, not for the average person.
Personal models
Each person has their own causal structure. What drives your mood may be completely different from what drives someone else's. We build individual-specific causal models from your longitudinal data.
Longitudinal depth
Causal discovery requires data over time — temporal ordering and sufficient observations. Our products are designed for continuous, low-friction data collection precisely because that's what causal inference demands.
Multi-modal integration
Wearable data, self-reports, journaling, and behavioral signals are unified in a causal framework. Each modality provides different temporal and semantic information.
Insight, not just data
The goal isn't to collect more data or show more charts. It's to give you genuine understanding of yourself — and the ability to act on it.
Privacy & security
The data we work with is deeply personal. We treat that responsibility seriously.
Post-quantum encryption
Your data is protected with encryption designed to withstand future quantum computing threats. We don't just meet today's standards — we prepare for tomorrow's.
Your data stays yours
We never sell your data. Identifying information is encrypted on your device before it ever reaches our servers. You have full control and transparency.
Want to go deeper?
We're happy to discuss our methodology, our approach to causal inference, and how we're building products that take the science seriously.