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AI Services – Data Handling Outside User-Specific Project Files 
The following categories explain how data is processed and handled when you use Relux AI services:

Terms of Service > GDPR and Cookies > AI-Services


NS (AI Data Not Stored)

Input and output data are retained only for the duration of processing and are permanently deleted immediately afterwards.

NSAB (AI Data Not Stored, Abuse Monitoring)
Input and output data are stored for the duration of processing and for a short period thereafter solely for abuse monitoring and prevention.

TDN (No AI Training Data)
The information is not used for the training of AI tools or models.

TD (AI Training Data)
The information is anonymized and may be used for the training and improvement of AI tools and models.

TDiA (AI Training Data, Individual Approval Required)
Where applicable, users are asked on a case-by-case basis whether their data may be used for AI training. If they consent, the training data is anonymised and all references to specific projects are removed before the data is made available to AI systems for training.​



Product or Service Name

Services Provided

How Data Is Handled

AI Chatbot Luxi

Chatbot on https://relux.com that answers customer enquiries

Input:

  • Anonymized customer inquiries and the corresponding responses
  • Knowledge database (Knowledge DB)
  • Self-study content
  • Manually entered information

Data Handling:

  • TD (AI Training Data) exclusively for Luxi

AI Image Generation

RELUX 3D renderings are enhanced using AI and serve as illustrative examples for visualizing lighting conditions in potential real-world applications.

Input:

  • Calculated 3D renderings generated by ReluxDesktop, OnCalc, or SensCalc
  • Room designation/name
  • Room usage classification according to applicable standards
  • Photographs of the products used within the rendering
  • User-specific inputs (so-called prompts)

Data Handling:

  • NSAB (AI Data Not Stored, Abuse Monitoring): Input and output data are stored only for the duration of processing and, for a limited period thereafter, exclusively for abuse monitoring purposes.
  • TDN (No AI Training Data): The information is not used for training AI models or tools.

AI 2D–3D

Converts 2D floor plans of rooms and building floors into RELUX 3D architectural data. With the user’s consent, modifications and additions may be made available to RELUX in anonymised form to improve and develop the service. The AI analyses only the area selected by the user.

Input:

  • 2D file (e.g., floor plan drawing)
  • Area to be processed

Data Handling:

  • NS (AI Data Not Stored): Input and output data are stored only for the duration of processing and are permanently deleted immediately afterward.

Manual Editing:

  • After user modifications and manual edits

Data Handling for Manual Edits:

  • TDiA (AI Training Data, Individual Approval Required): Users may opt in to allow anonymized manual edits and corrections to be used for AI training and service improvement purposes. Such data is anonymized before being made available to AI systems and contains no references to specific projects.

AI Automizer online

Evaluates a large number of luminaires and sensors to determine their suitability for standards-compliant lighting design and planning.

Input:

  • Scenes
  • Products contained within a project file
  • Products sourced from ReluxNet
  • Products sourced from a manufacturer's website

Data Handling:

  • NS (AI Data Not Stored): Input and output data are stored only for the duration of processing and are permanently deleted immediately afterward.
  • TDN (No AI Training Data): The information is not used for training AI tools or models.

AI PIR

Function

Plans and places PIR (Passive Infrared) sensors automatically according to predefined rules and planning criteria.

Input:

  • Scenes
  • Products contained within a project file
  • Products sourced from ReluxNet
  • Products sourced from a manufacturer's website

Data Handling:

  • TDN (No AI Training Data): The information is not used for training AI tools or models. Data processed by the service is used exclusively for the intended planning and optimization functions and is not incorporated into AI training datasets.


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