Higharc Raises $95M to Scale AI for Homebuilding

Higharc, a startup applying AI to the entire design-to-construction lifecycle of new homes, has raised a $95 million Series C led by Insight Partners, the company announced on June 30. Wellington Management joined the round alongside existing backers including Fifth Wall, Spark Capital, Lux Capital, Schneider Electric's SE Ventures, Simpson Strong-Tie and MetaProp, bringing Higharc's total funding to more than $170 million.

The company's core idea is to treat a house as data rather than a drawing. Higharc generates each home as a 3D spatial database that captures geometry, building-code requirements and construction standards in one structured model — the kind of clean, machine-readable foundation that production-grade AI needs and that a stack of AutoCAD files never provides. From that single source, the platform automatically produces construction documents, real-time cost estimates and shoppable 3D models buyers can configure themselves.

Alongside the raise, Higharc announced a new AI Estimating product for building-materials distributors, with US LBM — one of the largest private distributors of lumber and building materials in the United States — as its first partner. The feature uses an "AutoTranslate" model to convert 2D floor-plan images into structured 3D data, letting dealers generate accurate material takeoffs directly from a builder's plans at enterprise scale. It pushes Higharc beyond the design studio and into the supply chain that quotes and ships the materials.

Chief executive and co-founder Marc Minor cast the shift in stark terms. "AI isn't just assisting builders. It's reshaping how builders work, cutting time and cost per job while giving buyers a more personalized experience," he said. Customers appear to bear that out: builder Signature Homes reports design timelines compressed from months or years down to weeks or days, a 25-to-50 percent reduction in time to open a new community, and margin gains of 10 to 15 percent.

The round is another sign that investors are hunting for AI beyond chatbots and code, in tradition-bound physical industries where structured data has been scarce. It echoes recent vertical raises such as PhysicsX's $300M for industrial engineering and Assort Health's $120M in healthcare — bets that the biggest near-term AI gains lie in digitizing sectors that never had a clean data layer to begin with.