Higharc AI Secures $95M Funding to Transform Homebuilding

Key facts

• Higharc has raised $95 million in Series C funding, led by Insight Partners.
• The company's total funding now exceeds $170 million.
• Higharc is extending its AI estimating platform into the building-materials supply chain through an agreement with US LBM.
• Higharc generates homes as structured spatial data to automate design, estimating, and sales workflows.
• The company's AutoTranslate capability converts 2D plans into 3D data models for material quantity alignment.

Higharc, an artificial intelligence company focused on the homebuilding industry, has secured $95 million in Series C funding, with global software investor Insight Partners leading the round. This brings Higharc's total funding to over $170 million. Concurrently, the company has entered into an agreement with US LBM to expand its AI estimating platform into the building-materials supply chain.

Higharc's approach involves generating homes as structured spatial data that captures geometry, construction standards, and code requirements. This data foundation is then used to automate complex homebuilding workflows, including design, estimating, and sales. The company's AutoTranslate capability converts existing 2D plan images into dynamic 3D data models, producing material quantities aligned with purchasable products.

CEO Marc Minor emphasized that Higharc has been an AI company for over five years, focusing on building reliable outputs that builders can trust. He noted that while technology is crucial, it is not a panacea, and success also depends on the operating model, strategy, and economic realities of land use.

The homebuilding industry is described as a real-time discovery and learning lab for AI, testing its systems, assumptions, and decision processes. AI is revealing inefficiencies in areas where information is delayed or missing, work is duplicated, and resources are spent on features customers do not value. Higharc's goal is to improve precision across the entire building lifecycle, connecting it more closely to customer expectations and market realities, rather than simply increasing choices.