# Zoa Research — Powerful quantitative forecasting models

```yaml
url: "https://forg.to/companies/zoa-research"
website: "https://zoaresearch.com"
industry: "AI & Machine Learning"
company_size: "1-10 employees"
headquarters: "New York City, USA"
is_hiring: false
open_roles: 0
verified: false
created: 2026-07-23
```

## About Zoa Research

Historically, quantitative models are domain specific. Brilliant people spend their best years testing features, tuning hyperparameters, and iterating architectures within a narrow domain. But scale is the panacea: large models will find patterns people, and specialized models, could not.  Forecasting generalizes. Zoa trains cross-domain event forecasting engines.  *Automating Iteration* LLMs—embedded in multi-agent optimization loops and evaluated against fixed policies—can automate the build-test-improve modeling cycle. Think AlphaEvolve for forecasting problems. *Sample-Efficient General Models* Today’s forecasting models are narrowly crafted with deep human priors. But larger models will outperform state-of-the-art specialized models. Unlike existing event models, our models leverage data from across contexts and rely less on human intuition. And compared to LLMs, our models are built with more inductive priors and rely more heavily on inference-time compute—improving sample effici

## Links

- Website: https://zoaresearch.com
- Forg: https://forg.to/companies/zoa-research

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