# Local AI

- **Website:** <https://local-ai.gr>
- **Primary alias:** `local-ai.gr`
- **Founded:** 2023
- **Employees:** 2+
- **Location:** Greece
- **Company kind:** PRIVATELY HELD

## Description

Local-AI, established in 2023, focuses on implementing AI and Geo-Analytics projects to help local communities create Smart & Digital Environments. With a Gender Equality Plan in place, we specialize in collecting and analyzing complex geographic data to provide insights for urban decisions and mobility suggestions. As the EU aims for "Net Zero Cities" by 2030, including cities like Athens and Thessaloniki, our goal is to motivate citizens to embrace greener mobility options. Our EasyRide platform offers green mobility solutions for navigating cities based on various quality factors, promoting a sustainable urban lifestyle. Data is at the core of our services, transforming raw data into valuable insights for understanding and improving city sustainability performance. Contact us for a consultation on available datasets, delivery options, and SaaS software solutions for hassle-free operations. Join us in shaping the future of smart and climate-neutral cities with Local-AI.

## Industries

- 🖥 Computers Electronics and Technology _(under Computers Electronics and Technology)_
- 🖥 Computers Electronics and Technology

## Links

- [linkedin](https://linkedin.com/company/local-ai)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idE0RuJYtI/w/246/h/252/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1774055149456)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idE0RuJYtI/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1774055149544)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Denim | #0c71c3 | accent |
| Black | #000000 | dark |
| Turquoise | #41e2ba | light |

## Fonts

- Roboto Slab — asset _(google)_
- ETmodules — asset _(custom)_

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