Zoa Research
Powerful quantitative forecasting models
Based based in New York, NY, USA, Zoa Research works in b2b.
Profile
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 efficiency.
*Why It Matters*
In the real economy, our models could be useful for forecasting supply chain volatility, energy supply and demand, even earthquake risk.
Science is, Ian Hacking writes, the taming of chance. It is the process of iteratively updating priors (something like: identify uncertainty, conceive experiment to reduce uncertainty, execute, update). If science
Zoa Research is positioned in b2b, a segment that rewards a clear, focused offering.
New York, NY, USA is where the company is located.
It is recorded at the Summer 2024 stage.
Recorded headcount: 5 employees.
Directory analysis
Zoa Research develops cross‑domain event forecasting engines that leverage large language models and multi‑agent optimization loops to automate the build‑test‑improve cycle. The company aims to create sample‑efficient, general models that outperform specialized forecasting solutions. It operates in the B2B space out of New York, NY, with a small team of five employees.
Positioning: Zoa positions itself at the intersection of AI‑driven forecasting and automation, targeting businesses that require scalable, domain‑agnostic predictive models. While its approach is innovative, the market for large‑scale, general forecasting engines remains competitive and nascent.
Note: Zoa Research focuses on cross‑domain event forecasting using large language models.
Auto-generated directory analysis from public data · updated 12 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | New York, NY, USA |
| Country | USA |
| Employees | 5 |
| Stage | Summer 2024 |
Website: zoaresearch.com
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