Attentive.ai Raises $30.5 Million Series B to Supercharge AI Innovation in Construction

In a clear signal that artificial intelligence is finally making serious inroads into one of the most labour-intensive corners of the built world, Attentive.ai has announced a $30.5 million Series B funding round. Led by global software investor Insight Partners, with contributions from Vertex Ventures, Tenacity Ventures, and InfoEdge Venture Fund, the investment brings the company’s total capital raised to roughly $48 million. The fresh funds are earmarked to accelerate product innovation, deepen the capabilities of its core platform, and expand beyond the “takeoff” phase into upstream workflows such as estimating and bidding.

Founded by engineers Shiva Dhawan and Rishabjit Singh, Attentive.ai launched its flagship AI takeoff tool, Beam AI, in 2020. The company recognized an urgent need in the pre-construction space: while other sectors had rapidly automated, contractors were still relying on spreadsheets, manual tracing, and slow, error-prone workflows. Preconstruction is where every project begins—and where a single mistake can cascade through budgets, schedules, and profitability. Attentive.ai set out to replace that friction with precision automation.

A Real Problem, an AI-First Solution

Construction is one of the world’s largest industries, yet pre-construction—especially takeoffs, estimates, and bids—remains stubbornly analog. Uploading plan sets, counting quantities, and measuring features on drawings all take days of manual labour and are prone to human error. Attentive.ai’s Beam AI addresses this bottleneck head-on. Using computer vision and large AI models trained on construction plans, the system automatically extracts quantities, identifies trades, and generates bid-ready takeoffs in a fraction of the time.

More than a thousand contractors, subcontractors, and suppliers now rely on Beam AI to streamline estimating and bidding. The platform’s human-in-the-loop design ensures accuracy by pairing automated detection with human quality assurance. Estimators receive completed takeoffs that meet their standards without adding headcount, freeing teams to focus on strategy and client relationships. By removing the most repetitive steps from the process, companies can double their bid volume, shorten turnaround times, and ultimately win more projects.

“Preconstruction is where projects are won or lost,” said Shiva Dhawan, Co-Founder and CEO of Attentive.ai. “Our goal is to build the most trusted AI platform for the industry—one that doesn’t just automate takeoffs but redefines how estimating, bidding, and collaboration are done. This funding will help us push the boundaries of AI innovation and support contractors as they take on the infrastructure boom ahead.”

Why This Round Matters

The Series B represents a strong vote of confidence in both the product and the market. Insight Partners described Attentive.ai as a clear category leader in AI-driven construction takeoffs, citing the platform’s ability to deliver measurable ROI through advanced automation and rigorous QA. For investors, this is more than a software bet—it’s a sign that construction’s digital transformation is accelerating.

The new funding also marks a strategic shift. Attentive.ai is expanding its focus beyond automated takeoffs to encompass the full pre-construction lifecycle. That means integrating cost estimation, bid management, and collaboration into a unified AI-powered environment. With an expanded product roadmap and a growing engineering team, the company plans to deepen its AI models for trade-specific tasks, improve real-time collaboration, and bring predictive insights to contractors worldwide.

Equally important is scale. The company intends to use the capital to expand its footprint in North America and beyond, serving more sectors and larger enterprises. By strengthening its AI infrastructure and customer success capabilities, Attentive.ai is positioning itself to become the default platform for modern pre-construction workflows.

Impact on the Industry

For estimating teams, Beam AI offers a direct and tangible benefit: freedom from manual tracing and repetitive data entry. Time once spent counting, measuring, and formatting spreadsheets can now be used for value engineering, risk analysis, and strategy. Contractors can bid faster and more often, with better accuracy and less overhead. For developers and project owners, this translates into more competitive pricing and fewer surprises once projects break ground.

The technology also addresses one of the construction industry’s biggest hurdles—trust in automation. Beam AI’s hybrid model, combining AI precision with human verification, bridges that gap. It doesn’t replace the estimator; it amplifies them. Over time, as the system learns from thousands of plans, it becomes faster and more accurate, creating a feedback loop that continuously improves project outcomes.

The Future of AI in Construction

Attentive.ai’s momentum points to a broader evolution within construction. For decades, innovation in the industry focused on physical materials—better steel, smarter concrete, more efficient machinery. Now, the next wave of progress is digital, powered by AI that can interpret, plan, and optimize the work before anyone ever steps onto a job site.

Automating takeoffs is only the beginning. As AI becomes more embedded in pre-construction, we can expect to see 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 schedule sequences to minimize cost and delay.

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

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