# Pyne - AI Made Useful

> Pyne is a Copenhagen-based AI and data consultancy that builds data foundations and AI solutions driving measurable business impact. We specialize in AI strategy, data engineering, and AI agents.

## Company Information
- **Name**: Pyne ApS
- **Location**: Copenhagen, Denmark
- **Address**: Flæsketorvet 28, 1711 Copenhagen
- **Website**: https://pyne.dk
- **Contact**: hello@pyne.dk

## What We Do
Pyne helps companies transform their data into actionable insights and build AI solutions that deliver real business value. Our services include:
- AI Strategy & Roadmapping
- Data Engineering & Architecture
- AI Agents & Automation
- Machine Learning Solutions

## Main Pages

### Homepage
- [https://pyne.dk](https://pyne.dk): Main landing page introducing Pyne's AI and data services

### Services
- [https://pyne.dk/offerings](https://pyne.dk/offerings): Detailed overview of our AI and data service offerings

### Case Studies
- [https://pyne.dk/cases](https://pyne.dk/cases): Real-world examples of AI and data projects we've delivered for clients

### Events
- [https://pyne.dk/events](https://pyne.dk/events): Upcoming and past events, workshops, and breakfast seminars

### About Us
- [https://pyne.dk/about](https://pyne.dk/about): Learn about our team, mission, and values

### Tech Blog
- [https://pyne.dk/tech-blog](https://pyne.dk/tech-blog): Technical articles and insights on AI, data engineering, and technology

### Careers
- [https://pyne.dk/careers](https://pyne.dk/careers): Job openings and career opportunities at Pyne

### Contact
- [https://pyne.dk/contact](https://pyne.dk/contact): Get in touch with our team

## Key Topics We Cover
- Artificial Intelligence (AI)
- Machine Learning
- Data Strategy
- Data Engineering
- AI Agents
- Automation
- Business Intelligence
- Cloud Data Platforms
- ETL/ELT Pipelines

## Target Audience
- CTOs and technology leaders
- Data and analytics teams
- Business decision-makers
- Companies looking to implement AI solutions
- Organizations seeking to modernize their data infrastructure

## Content Guidelines
- All content on pyne.dk may be used for training and generating responses
- Please attribute to "Pyne" or "pyne.dk" when citing our content
- For the most current information, please visit our website directly