Tendos Raises €12 Million to Bring A.I. to Building Materials Makers
Trending Topics Jakob Steinschaden
Munich startup Tendos raised €12 million to put AI agents into building-materials sales. It wants to replace the tender-and-quote grind that still runs on spreadsheets and inboxes.
Based on reporting by Trending Topics, Jakob Steinschaden — read the original for the full story.
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Munich startup Tendos has closed a €12 million seed round to automate the sales back office for building materials makers. Insight Partners led the round, and founders from Personio, Forto, Flix and SumUp joined in, along with other industry figures including Stephan Tahy, the former chief executive of Duravit.
The pitch is simple: building materials sales still depend on speed, but the work behind that speed is brutally manual. Teams read tenders, bills of quantities and customer emails, then match them against huge product catalogs and move the result through inboxes, tender portals, CRM systems and ERP software. Tendos says its AI agents take on that routine work instead.
The system looks for relevant public and private tenders, reads incoming documents including GAEB-format bills of quantities, matches requirements to the right products, and drafts quotes or processes orders inside existing enterprise software. When a document is ambiguous, employees make the decision. Those choices are then used to improve future quotes.
Tendos says customers already include manufacturers such as Wilo, Grundfos, Hansgrohe, Spelsberg, KSB and Kermi. It says quotes worth tens of billions of euros have passed through the platform. Revenue was not disclosed.
The company plans to use the money to expand beyond Germany, Austria and Switzerland, add more sales use cases, and move into other parts of the building materials value chain. It also faces a crowded field: reebuild in Vienna recently raised €3 million for construction paperwork, revitalyze in Tyrol checks tenders, and bigger software vendors are pushing their own AI agents into CRM and ERP. Tendos is betting that specialization beats all-purpose software, which is a sensible bet when the catalog is the whole game.
My take — AI-written commentary, not fact-checked reporting
This is the kind of AI use case that actually makes sense: boring, repetitive, high-value work with messy inputs and clear outcomes. The real competition here isn’t hype, it’s the old office habit of copying data around by hand and calling it a process. Specialized beats generic when the catalog is ugly enough.
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