Welcome to the official GitHub organization of explore.de, the Digital Thread Platform that transforms complex data into actionable insights. Our mission is to make data accessible, interoperable, and valuable through the integration of Generative AI and Agentic Intelligence.

explore is a cloud-native platform designed to create intelligent Digital Twins by connecting and automating data flows across various systems. By leveraging our AI assistant, Lora AI, we enable organizations to:

• Integrate data from PLM, ERP, CRM, and other systems.
• Automate workflows and data transfers without manual intervention.
• Interact with data using natural language, making complex information easily accessible.
• Visualize data in real-time 3D representations for enhanced understanding.

Our platform ensures that data is not only collected but also contextualized and utilized effectively, fostering better decision-making and innovation.

• Lora AI Assistant: Provides context-aware, natural language access to your data, facilitating tasks like data modeling, analysis, and troubleshooting.
• Thread Composer: Automates data flows between systems, supporting both event-based and periodic processes.
• Open Standards: Ensures full interoperability with existing systems, avoiding vendor lock-in.
• Security & Compliance: Implements robust security measures to protect your data and maintain compliance with industry standards.

Explore our public repositories to get started:

• rage4j: A Java-based test framework to test AI driven applications.
• lora-client-sdk: An Angular SDK for integrating the Lora AI Chat Client Component into your applications.
• basic-importer: A Quarkus service showcasing basic data import functionalities to the explore platform.

Our platform is designed with flexibility in mind:

• API-First Approach: Easily integrate with your existing systems using our well-documented APIs.
• Modular Architecture: Customize and extend functionalities to meet your specific needs.
• Scalable Infrastructure: Built to handle growing data volumes and user demands.

For more information, demos, or support:

• Website: https://www.explore.de/
• Email: [email protected]
• Phone: +49 8441 47247-0
• Address: Ludwig-Hirschberger-Allee 11, 85276 Pfaffenhofen, Germany

We welcome contributions and collaborations! Whether you're a developer, data scientist, or business analyst, there's a place for you in our community.

• Contribute: Check out our repositories and see where you can add value.
• Collaborate: Reach out to discuss potential partnerships or integrations.
• Stay Updated: Follow us for the latest news and updates.

Empower your data journey with explore – where intelligent connections lead to smarter decisions.