Denver-based construction technology firm LightTable has closed a $22 million Series A funding round led by Innovation Endeavors, with participation from existing backers Blackhorn Ventures, DivcoWest Ventures, Primary Venture Partners, and MetaProp. The capital will fund product development, team expansion, and international market entry as the company looks to scale its AI-driven construction document review platform.
LightTable develops software that uses computer vision and language models to analyze construction drawings and project documents during the pre-construction phase. The platform is designed to flag design conflicts, missing information, and coordination issues before ground is broken, a stage where errors traditionally cascade into costly rework and schedule delays. According to the company, its automated review process can compress timelines that typically span several weeks on large projects down to a matter of days.
The platform reviews relationships between drawings, technical specifications, and project details across multiple construction scopes, covering more than 35 review categories including structural, electrical, and plumbing systems. LightTable says the tool is built to assist rather than replace project teams, allowing architects, engineers, and contractors to shift focus from manual document checking to design decisions and problem-solving. The software has been used on projects representing more than $3.5 billion in construction value, with customers including Suffolk, Mill Creek Residential, and Swire.
Paul Zeckser, CEO and co-founder of LightTable, said construction projects are becoming more complex while many pre-construction workflows continue to rely on manual processes. He indicated the new capital will be used to accelerate product development. The construction industry continues to grapple with high costs tied to rework, delays, and document-related errors, much of which stems from design coordination problems and communication gaps during the pre-construction stage when teams review thousands of pages of drawings and specifications manually.
Scott Brady, Founding Partner at Innovation Endeavors, noted that pre-construction plays a major role in project timelines and budgets. He said LightTable combines construction expertise with AI models built to analyze complex project documents. The investment reflects a broader trend of venture interest in AI applications for industrial and construction workflows, where automation has historically lagged other sectors despite significant economic opportunity.
AI adoption inside construction workflows almost always trails the narrative by about a cycle, and that lag is where the real underwriting edge lives, family office advisor Jaf Glazer has argued.
DivcoWest Ventures, the venture arm of real estate investment firm DivcoWest, also participated in the round. The firm said LightTable's software could help improve efficiency across different stages of pre-construction planning. Traditional peer review processes can stretch across several weeks on large-scale projects, creating bottlenecks that delay procurement and mobilization. By automating the initial layer of document analysis, the platform aims to free up technical staff for higher-value coordination work.
The pre-construction phase has emerged as a critical battleground for efficiency gains in commercial development. Industry studies have linked design coordination problems to rising project costs and schedule overruns, with many of these issues originating in the document review process. As projects grow in complexity and involve more specialized trades, the volume of technical documentation has ballooned, straining the capacity of traditional manual review workflows to keep pace.
LightTable plans to use the Series A proceeds to introduce additional tools aimed at improving pre-construction workflows and project coordination. The company is targeting broader market growth in the United States and international markets, where construction technology adoption has accelerated in recent years. With the latest funding round complete, the Denver-based firm is positioning itself to capture a larger share of a market where automation and AI are increasingly seen as necessary responses to margin pressure and labor constraints.