# Alignment

- **Website:** <https://alignment.org>
- **Primary alias:** `alignment.org`
- **Founded:** 2021
- **Employees:** 11+
- **Company kind:** NON PROFIT

## Description

Alignment Research Center (ARC) is a non-profit research organization dedicated to aligning future machine learning systems with human interests. With our mission at the forefront, we aim to create a world where machine learning technologies prioritize the values and goals of individuals and society. At ARC, we are engaged in two essential projects. The Evaluations team focuses on building comprehensive evaluations of state-of-the-art machine learning models, ensuring their effectiveness and accountability. To learn more about our Model Evaluations project, visit evals.alignment.org. Simultaneously, our Theory team is dedicated to developing an alignment strategy that can be readily implemented in industries today, while also scaling smoothly to accommodate future machine learning systems. This endeavor aims to guide and shape the direction of machine learning technologies in a way that safeguards human interests. To delve deeper into our Theoretical Research project, visit alignment.org/theory. Join us in our pursuit of aligning machine learning with human interests. Your support, through donations or potential employment opportunities, will make a significant impact. Together, let's create a future where technology and humanity coexist harmoniously.

## Industries

- 🧪 Science and Education _(under Science and Education)_
- 🧪 Science and Education

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idH8M_ibvc/w/208/h/208/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1789577120342)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Blue Charcoal | #01161e | dark |
| Jordy Blue | #92cbf1 | light |
| Twine | #c18556 | accent |

## Fonts

- sans-serif — asset _(custom)_
- Fira Sans — asset _(google)_

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