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Scaffold Secures $15M Seed Round to Eliminate Homebuilding Software Friction

Austin-based software company Scaffold has secured a $15 million seed round to tackle the deep fragmentation holding back residential construction. Navitas Capital led the financing, backed by major industry giants The post Scaffold Secures $15M Seed Round to Eliminate Homebuilding Software Friction appeared first on Ventureburn .

Scaffold Secures $15M Seed Round to Eliminate Homebuilding Software Friction

Austin-based Scaffold has raised $15 million in seed funding to eliminate software friction in the residential construction industry. The round was led by Navitas Capital, with participation from D.R. Horton, Pulte Homes, Builders FirstSource, and housing analyst Ivy Zelman. Scaffold's technology addresses the fragmentation plaguing homebuilding by integrating with existing tools used by trade contractors.

Rather than replacing the systems they already use, Scaffold connects directly with those tools to maintain a single, real-time record of every job across the top 30 US homebuilders. By automating manual data entry processes, Scaffold reduces the need for workers to input purchase orders, reschedules, and scope changes multiple times.

This automation ensures that schedule changes made on Tuesday are instantly reflected in the field, rather than lagging until Thursday. The platform has already been deployed at over 200,000 homes in 30 states, showing impressive results within the first two months of use. Contractors report a 50% reduction in dry runs and an 89% decrease in errors.

Additionally, the time needed to process a purchase order has decreased by 83%. The investor syndicate includes a diverse group of homebuilders, trade contractors, and suppliers, reflecting the wide-reaching nature of the coordination issue within the $500 billion market. Scaffold's predictive models become more accurate as the platform gains more live usage, adapting to the unique operational rhythms of each trade.

Written by urgent.news from Ventureburn's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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