# PNL 2027

- **Website:** <https://pnl2027.gov.pt>
- **Primary alias:** `pnl2027.gov.pt`
- **Founded:** 2017
- **Employees:** 11+
- **Location:** Lisboa, Lisboa, Portugal
- **Company kind:** GOVERNMENT AGENCY

## Description

Introducing Plano Nacional de Leitura: a brand dedicated to promoting literacy and the joy of reading. Plano Nacional de Leitura offers a wide range of products and services that aim to inspire a love for books and the written word. From their extensive catalog of recommended books, including titles for both children and adults, to their digital library and valuable resources, Plano Nacional de Leitura provides a wealth of reading material for all ages and interests. Additionally, they organize various events, conferences, and training programs to foster a culture of reading and enhance reading skills. Whether you're a teacher, parent, student, or book enthusiast, Plano Nacional de Leitura has something for everyone. Join the movement and explore the world of literature with Plano Nacional de Leitura.

## Industries

- ⚖️ Government _(under Law and Government)_
- ⚖️ Law and Government

## Links

- [youtube](https://youtube.com/c/PlanoNacionaldeLeitura2027)
- [twitter](https://twitter.com/Pnl2027)
- [instagram](https://instagram.com/pnl2027)
- [linkedin](https://linkedin.com/company/pnl2027)
- [facebook](https://facebook.com/PNL2027)

## Logos & icons

- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idSigFTYEf/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1781875137252)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Alizarin Crimson | #dc2832 | accent |
| Cerulean | #009fe3 | dark |
| Sunglow | #ffca30 | light |

## Fonts

- Rubik — asset _(google)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idSigFTYEf/w/1500/h/500/idrGygcCnZ.jpeg?c=1bxid64Mup7aczewSAYMX&t=1781875137471)

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_Source: <https://brandfetch.com/pnl2027.gov.pt>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._