# Aruqaj Consulting

- **Website:** <https://aruqajconsulting.de>
- **Primary alias:** `aruqajconsulting.de`

## Description

Aruqaj Consulting is a pioneering brand specializing in artificial intelligence-driven solutions for modern dental practices in Germany. The company offers a comprehensive practice management system that integrates patient communication, appointment management, and accessibility into one seamless platform, allowing dental teams to focus on patient care without administrative distractions. Their services include a free practice assessment to identify inefficiencies and potential revenue losses caused by missed calls and unutilized appointment slots. 

With key features such as 24/7 AI reception, automated appointment reminders, and effective patient recall systems, Aruqaj Consulting enhances both operational efficiency and patient engagement. The modular approach ensures that the system can be tailored to the specific needs of each practice, evolving as the practice grows. Committed to transparency and quality, Aruqaj Consulting provides guarantees for system performance and offers flexible contract terms. Their solutions are designed for dental practices aiming to scale sustainably and effectively, redefining how dental care is managed in the digital age.

## Industries

- ⛑ Health
- ⛑ Dentist and Dental Services _(under Health)_
- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/id_JHNtyMd/w/257/h/261/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791478010394)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Santas Gray | #a1a1aa | accent |
| Woodsmoke | #18181b | dark |
| Linen | #fdfaf4 | light |

## Fonts

- Inter — asset _(google)_
- Cantarell — asset _(google)_

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