About Loopfront

Loopfront was founded to help public and private organisations become more circular. We provide a user-friendly tool for reuse, so that companies can easily reuse products and materials in their ongoing operations and projects, and report savings in reduced costs, CO2 and waste. Loopfront currently has customers across four customer segments - public administration, large companies / enterprise, property management and development, as well as retail chains.

Our Milestones

2018

The need for digital reuse tools and the goal of a sustainable, circular construction and real estate industry, led to the establishment of Loopfront.

2019

Loopfront's platform for reuse and circular processes is being used by the first customers in Norway, including Asker municipality.

2020

Loopfront is expanding internationally. The first customers in Sweden and Germany begin using the platform.

2021

Loopfront launches a new version of the platform, which addresses the entire value chain; From surveying and overview of inventory, to an internal marketplace, order managing and reporting.

2022

Loopfront further develops its customer base across Norway, Sweden and Germany, and wins Europe's largest circular economy tender with the Västra Götaland region.

2023

Loopfront enters into agreements with important customers such as Entra, Bergen municipality and Stavanger municipality. Loopfront wins further tenders with Oslo municipality. Loopfront now has 6 of the largest municipalities in Norway as customers.

2024

Loopfront launches an external marketplace, where everyone can see available listings on the website, and all companies can register to order from Loopfront's customers. Loopfront further launches its services for large companies and retail chains.

2025

Loopfront launches a new generation of the reuse platform, which streamlines the entire process; from surveying, to planning and implementation of reuse.

2026

Loopfront expands its customer base to Denmark and Finland. The platform is updated with automatic data suggestions during surveying with help from AI-image recognition, for easier surveying, better data quality, and more reliable savings reports.