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XBuild Raises $19 Million to Scale AI-Based Construction Estimating Platform and Roofing Product

XBuild Raises $19 Million to Scale AI-Based Construction Estimating Platform and Roofing Product

New updates have been reported about XBuild.

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XBuild, an AI-native estimating platform for the construction industry, has secured a $19 million Series A round led by N47 with participation from Rackhouse Ventures and Andreessen Horowitz, capital that will be used to expand its proposal and estimating capabilities across multiple construction trades. The company, founded by former Uber and Postmates executives Jahan Khanna and Rob Moran alongside civil engineer Sharuk Khanna, plans to use the funding to build what it describes as the first AI “vibe coding” estimating platform covering verticals such as concrete, landscaping, painting, windows and doors, glass and glazing, insulation, HVAC, and plumbing. In its first year on the market, XBuild’s insurance-focused initial product has already processed more than 15,000 completed projects representing $250 million in construction volume, with contractors collectively saving over 40,000 hours on estimate creation, pointing to strong early product-market fit and a foundation for scaling into adjacent segments.

At the center of XBuild’s roadmap is the launch of Roofing Proposals, a new product aimed at residential roofing contractors that automates end-to-end proposal creation in under 15 minutes using an agentic, chat-based interface trained on real-world inputs such as measurement reports and site photos. The platform integrates with major material suppliers to deliver real-time pricing for accurate margin control, ingests standard measurement formats from providers like EagleView and others to bypass formatting hurdles, and generates homeowner-facing proposal links with tiered pricing options, e-signature, and Stripe-enabled payments to accelerate cash flow and increase transparency. Management positions XBuild as an efficiency and accuracy layer in an industry still constrained by manual, template-driven processes, and investors highlight the company as a leading application of AI to a large, under-digitized market. For executives and financial stakeholders, the raise signals increased capacity for product development, broader trade coverage, and potential share gains among contractors seeking to reduce bid cycle times, improve profitability, and navigate rising construction and labor costs.

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