# Ŷ

- **Website:** <https://yhatlabs.com>
- **Primary alias:** `yhatlabs.com`

## Description

YHat Labs is an AI forecasting and prediction lab building foundation models for numerical forecasting and tools for anticipating real-world events. Its work focuses on forecasts supported by calibrated probabilities and uncertainty. The company’s Time Series and Tabular Foundation Models are designed to forecast time series or tables in seconds, without requiring users to train models, tune parameters, or build pipelines. YHat Labs also describes an Events and Markets Prediction Engine that lets users ask questions about the future and receive a probability with supporting evidence. Its areas of focus include geopolitics, the economy, markets, and policy. The prediction engine is marked as coming soon; API access, benchmarks, and documentation are also featured. YHat Labs says its team has built trading systems behind more than $4 billion in equities books, and has backgrounds from Point72, Dualitas Capital, and Goldman Sachs. The company reports backing from Afore Capital and Point72 alumni. It invites inquiries about API access, research collaboration, partnerships, and other needs.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Links

- [linkedin](https://linkedin.com/company/yhat-labs)
- [twitter](https://twitter.com/yhatlabs)
- [github](https://github.com/yhatlabs)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idInZOPj_X/w/147/h/88/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791304243845)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idInZOPj_X/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791304244203)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Steel Blue | #4c7fbd | accent |
| Blue Zodiac | #0f1d3a | dark |
| Polar | #eff5fc | light |

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idInZOPj_X/w/1500/h/500/id0xeQ3E_L.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791304244015)

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_Source: <https://brandfetch.com/yhatlabs.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._