Earthling Labs
Earthling Labs offers Earth-1, a persistent synthetic universe containing over one million simulated lives that react to real-world news, enabling users to decompose any prediction into its constituent conviction and herding components. The platform reports the anatomy of consensus—how solid it is, who holds it, and where it breaks—providing a vantage point outside the system being measured. This structured insight distinguishes identical surface readings that carry opposite futures.
- Data & Analytics
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional prediction instruments—polls, markets, and models—measure only the surface: how many people stand on each side of an issue. This approach blinds them to the underlying structure of belief, where identical readings can signal opposite futures. The act of measuring a population from within it also changes the outcome, destroying the deep structure it aims to capture.
Solution
Earthling Labs offers Earth-1, the first civilization model: a persistent synthetic universe containing over one million simulated lives with jobs, families, and economies that react to real-world news as if it were their own. The platform decomposes any prediction into its constituent waves—conviction built on identity and herding driven by narrative—and reports the anatomy of consensus: how solid it is, who holds it, and where it breaks. By building a world and stepping outside it, Earthling Labs provides a vantage point from which the deep structure of belief becomes visible and actionable. Unstructured prediction data goes in; structured, decomposed insight comes out.
Target Audience
Primary customers are geopolitical analysts, market researchers, and institutional investors who need to understand the structural dynamics behind public opinion and market pricing.
Features
- Persistent synthetic universe with 1,019,262 simulated lives, each with jobs, families, and economies
- Wave-decomposition engine that separates prediction data into conviction and herding components, where conviction strengthens under attack and herding collapses when the narrative breaks
- Real-time reaction engine where synthetic citizens respond to live news feeds as if they were their own
- Structured data output that reports consensus solidity, holder identity, and break points, distinguishing identical surface readings with opposite futures
- Interactive visualization tools with W-axis rotation and scroll navigation for exploring the anatomy of any prediction
- Research-backed methodology citing failures of traditional instruments in Arab Spring, Brexit, and Silicon Valley Bank events