Scalera AI, a spin-off from ETH Zurich founded in 2023, is revolutionizing the construction industry by streamlining tendering processes through artificial intelligence.

The Swiss construction tech company has successfully raised $6.5 million in seed funding to enhance procurement processes for both public and private construction projects.

Scalera's platform automates the tendering process by parsing complex documents and matching them with supplier catalogs, significantly reducing the time and effort required for procurement.

The software aims to drastically reduce bidding cycles from three days to just half a day, thereby minimizing errors and improving collaboration between buyers and suppliers.

Co-founder and CEO Leonardo Reinhard emphasized the inefficiencies of traditional public tender processes, which often involve navigating lengthy PDFs and manual communication with suppliers.

Implementation timelines for Scalera's platform can vary, with initial functions potentially operational within two weeks, while full automation may take up to four months.

Scalera is experiencing rapid growth, with a remarkable 74% month-over-month increase, as it aims to become the primary procurement solution for builders in the DACH region.

Scalera's SaaS platform automates the extraction, distribution, and evaluation of tender documents, primarily targeting mid- and large-sized construction firms.

The seed funding round was led by Firstminute capital and Speedinvest, with participation from strategic investors including notable angels from Google and other unicorn startups.

The startup has already processed over €2.1 billion in tenders and serves between 65% to 75% of construction contractors in Switzerland.

With the new funding, Scalera plans to expand its team, particularly in engineering, to further enhance its technology and service offerings.

By addressing the outdated procurement processes that plague the construction sector, Scalera aims to modernize an industry that faces significant challenges in infrastructure delivery and project demands.