Inbrix

Inbrix is ​​a digital recording app for energy labels, specifically developed for EP advisors. During the property survey, you collect measurement data, photos, structures, and installations directly on location. With a single click, you export everything to Vabi, without duplicate data entry.

All data is automatically linked to rooms and building components, allowing you to immediately work on a complete and verifiable energy label file.

No loose notes.
No photos without context.
No duplicate work.

You work directly on the final result from the very first measurement.

What you capture with Inbrix

During the property survey, you capture all energy label information:

• Geometry and surface areas of the home
• Photos linked to rooms and structures
• Structures of facades, roofs, and floors
• Partition surfaces
• Installations and technical data

All data is automatically stored in a structured format so that the file can be used immediately for calculating the energy label in Vabi.

With the export to Vabi, you prevent duplicate data entry and interpretation errors. For EP advisors

Independent EP advisors use Inbrix to digitize their assessment process and work more efficiently.

Benefits for individual advisors:

• Less administrative work
• Lower risk of errors
• Faster energy label processing
• Clear and verifiable files

For teams of EP advisors

For organizations with multiple EP advisors, a uniform working method is essential. Inbrix ensures that every advisor works according to the same structure.

This results in files that are easily transferable and remain immediately verifiable. Benefits for teams:

• Uniform working method for all advisors
• Complete and consistent energy label files
• Faster onboarding of new EP advisors
• Reduced audit risk
• Higher productivity per advisor

Who is Inbrix for?

Inbrix was developed for:

• EP advisors
• Teams of EP advisors
• Energy consultancy firms
• Organizations that perform energy labeling

By digitizing the recording process, Inbrix helps EP advisors perform energy labeling faster, better substantiate files, and collaborate more efficiently.