Personal Science Through Causal Discovery

Manifold builds tools for self-understanding and human connection, grounded in causal discovery — not correlations, not heuristics, not population averages.

What we believe

Most technology extracts from people — attention, data, money. We build technology that gives back: self-understanding, genuine connection, liberation from patterns you didn't choose.

We believe you can understand yourself. We believe genuine connection is possible. We believe technology should liberate, not extract.

That belief shapes everything we build.

What we're building

Balance

Patent pending

See what's actually causing your mood shifts. Wearable integration, mood tracking, and causal insights — personalized to you, not population averages.

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Nuance

TBA

Why causal discovery

Most apps tell you what happened. “Your sleep was bad and your mood dropped.” That's correlation. It's not enough.

We want to tell you why — what actually caused what, for you specifically.

Distinguish drivers from symptoms

Not all signals are equal. Causal discovery reveals which factors are upstream causes and which are downstream effects.

Recognize patterns early

Identify the patterns that precede changes before they compound, so you can respond rather than react.

Target causes, not proxies

Interventions grounded in causal structure, not correlational patterns that may be spurious or confounded.

How we work

1

Individual-level models

Each person has their own causal structure. We build models specific to you, not averages that may not apply.

2

Longitudinal data

Causal discovery requires data over time. Our products are designed for continuous, low-friction data collection.

3

Multi-modal integration

Wearables, self-reports, journaling, and behavioral signals — unified in a causal framework where each modality adds depth.

4

Actionable insight

Understanding isn't the endpoint. We want to help you act on what you learn — change what matters, not what merely correlates.

Our values

Individual-first

Technology should serve people, not extract from them. Everything we build prioritizes your wellbeing and autonomy.

Privacy as a feature

We use post-quantum encryption and never sell data. Privacy isn't a compliance checkbox — it's core to our product.

Methodological rigor

Our work is grounded in causal inference, not trend-chasing. We take the science seriously because the stakes are personal.

Transparency

You know what data we collect and why. You understand how our system arrives at its insights. No black boxes.

Building something that matters

We're looking for people who share our vision — researchers, engineers, and anyone who believes technology can help people understand themselves better.

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