Optomitron
Optimizes everyone's health, wealth, and happiness — as well as that of humanity — using time series data and causal inference.
The operating system for evidence-based decision-making. Whether you're a person tracking supplements, a government allocating budgets, or a business optimizing spend — the math is the same.
Five-Layer Architecture
A decentralized system that turns raw data into optimal decisions while keeping your personal data private and the public knowledge open.
Digital Twin Safe
All personal data stays on your device. The causal engine runs locally in pure TypeScript — no server, no surveillance, no data leaving your control.
Decentralized Identity
Proof-of-personhood via zero-knowledge proofs. One person, one vote — verified humanity without revealing identity.
Anonymous On-Chain
Anonymized effect sizes and preference weights stored on a public chain. No single entity owns the data — it belongs to the commons.
Aggregation Server
Meta-analysis across all submissions produces population-level insights: treatment rankings, policy scores, and politician alignment.
Incentive Layer
Data contribution tokens and Incentive Alignment Bonds automatically fund campaigns for politicians who represent citizen preferences.
One Engine, Every Domain
Feed any two time series and Optomitron answers: Does changing X cause Y to change? By how much? What's the optimal value of X?
For Individuals
Import from Apple Health, Fitbit, Oura — discover which supplements, habits, and treatments actually work for YOU. Get optimal dosages, not just averages.
Import Your Data →For Governments
Any jurisdiction can deploy Optomitron as a governance OS. Collect citizen preferences, optimize budgets, score policies, and hold politicians accountable.
View Dashboard →For Businesses
The same causal engine works for ad spend, pricing, feature decisions — any two time series. Domain-agnostic by design.
Learn More →How It Works
Collect
Import time series data from wearables, government stats, or business metrics
Align
Pair predictor and outcome measurements using configurable onset delays
Score
Apply Bradford Hill criteria via saturation functions for Predictor Impact Score
Optimize
Find optimal predictor values with confidence intervals
Recommend
Generate actionable recommendations: dosage, policy, budget, candidate
The $6.75 Trillion Question
The US federal government allocates its budget based on political negotiation, not evidence. Nobody knows the optimal amount to spend on education vs. healthcare vs. defense.
Optomitron changes that. Any jurisdiction — city, county, state, or country — can deploy evidence-based governance.