Attentive.ai Secures $30.5M in Series B Funding to Accelerate AI Development for Construction

Artificial intelligence is making a significant impact on one of the most labor-intensive sectors of the built environment, as Attentive.ai announces a $30.5 million Series B funding round. Led by global software investor Insight Partners, with participation from Vertex Ventures, Tenacity Ventures, and InfoEdge Venture Fund, this investment brings the company’s total funding to approximately $48 million. The new capital will drive product innovation, enhance platform capabilities, and extend the company’s reach beyond the “takeoff” phase into upstream workflows such as estimating and bidding.

Attentive.ai was founded by engineers Shiva Dhawan and Rishabjit Singh, who launched its flagship AI takeoff tool, Beam AI, in 2020. They identified a critical need in pre-construction: while many industries had automated their processes, contractors were still relying on manual methods like spreadsheets and tedious tracing, leading to slow and error-prone workflows. Since pre-construction lays the foundation for every project, even a small mistake can have cascading effects on budgets, timelines, and profitability. Attentive.ai aimed to solve this challenge through precision automation.

A Real Problem, an AI-First Solution

Construction is among the world’s largest industries, yet pre-construction activities—such as takeoffs, estimates, and bids—remain heavily reliant on manual processes. Uploading construction plans, counting quantities, and measuring features on drawings can take days and are susceptible to human error. Beam AI tackles this challenge head-on. Using computer vision and AI models trained on construction plans, the system automatically extracts quantities, identifies trades, and produces bid-ready takeoffs in a fraction of the time.

Today, over a thousand contractors, subcontractors, and suppliers use Beam AI to streamline estimating and bidding. The platform combines automated detection with human quality assurance, ensuring accuracy while allowing estimators to focus on strategy and client relationships. By eliminating repetitive tasks, companies can increase their bid volume, shorten turnaround times, and win more projects.

“Preconstruction is where projects are won or lost,” said Shiva Dhawan, Co-Founder and CEO of Attentive.ai. “Our mission is to build the most trusted AI platform for the industry—one that not only automates takeoffs but redefines how estimating, bidding, and collaboration are done. This investment will help us advance AI innovation and support contractors amid the growing demand for infrastructure.”

Why This Round Matters

The Series B funding underscores strong confidence in both Attentive.ai’s product and its market potential. Insight Partners described the company as a clear leader in AI-driven construction takeoffs, highlighting its ability to deliver tangible ROI through advanced automation and rigorous quality assurance. For investors, this represents more than a software investment—it signals the accelerating digital transformation of the construction industry.

The funding also marks a strategic expansion. Attentive.ai is shifting its focus beyond automated takeoffs to cover the entire pre-construction lifecycle, integrating cost estimation, bid management, and collaboration into a unified AI-powered platform. With an expanded product roadmap and a growing engineering team, the company aims to enhance its AI models for trade-specific tasks, improve real-time collaboration, and deliver predictive insights to contractors globally.

Another key focus is scaling operations. The company plans to expand its presence in North America and other regions, serving a wider range of sectors and larger enterprises. By strengthening its AI infrastructure and customer support capabilities, Attentive.ai is positioning itself as the go-to platform for modern pre-construction workflows.

Impact on the Industry

For estimating teams, Beam AI offers clear advantages: freedom from manual tracing and repetitive data entry. Time previously spent on counting, measuring, and formatting spreadsheets can now be redirected toward value engineering, risk analysis, and strategic planning. Contractors can submit bids more quickly and accurately, with reduced overhead. For developers and project owners, this means more competitive pricing and fewer surprises once construction begins.

The technology also addresses a major industry challenge: building trust in automation. Beam AI’s hybrid model, which combines AI precision with human verification, bridges the gap between automation and expertise. It enhances rather than replaces estimators. Over time, as the system learns from thousands of plans, it becomes faster and more accurate, creating a continuous improvement cycle for project outcomes.

The Future of AI in Construction

Attentive.ai’s progress reflects a broader shift in the construction industry. While past innovations focused on physical materials—such as improved steel, concrete, and machinery—the next wave of advancement is digital. AI now has the ability to interpret, plan, and optimize work long before breaking ground.

Automating takeoffs is just the beginning. As AI becomes more integrated into pre-construction, we can expect predictive estimating models that analyze market data, forecast material costs, and simulate design options. Bid management could evolve into intelligent matchmaking between contractors and projects, while generative models may eventually design optimal layouts or scheduling sequences to minimize costs and delays.

The implications go beyond efficiency. By applying AI during the earliest planning stages, construction can become more sustainable, transparent, and data-driven. Energy models, environmental impact assessments, and resource allocation can all be optimized at the design phase, reducing waste and improving outcomes across the supply chain.

Attentive.ai embodies this transformative shift. Its success represents not only the modernization of an industry but the dawn of an era where every blueprint, bid, and build benefits from machine intelligence. As the world races to upgrade infrastructure and build the next generation of cities and data centers, one thing is certain: the future of construction will be intelligent, not manual.