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Shiva Dhawan, Co-Founder and CEOFor contractors, the estimating bottleneck is familiar. Manual takeoffs are slow, unpredictable, and capacity-limiting, and every hour spent in measuring quantities is an hour not spent on pricing, strategizing, or winning work. Beam AI, the AI-based takeoff and estimating platform developed by Attentive.ai, was built to close that gap. Trusted by over 1,200 contractors and suppliers, it delivers multi-trade quantity takeoffs within 24 to 72 hours, giving teams a predictable, repeatable operating system at every stage of the estimating cycle.
The results are striking. Up to 90 percent time savings and a rapid increase in bidding capacity, all with existing headcount.
Co-founder and CEO Shiva Dhawan is unequivocal about what makes the platform work. Unlike generic AI tools applied to construction, Beam AI’s models are trained on architectural intent, structural logic, civil layouts, and MEP drawings. This enables trade-specific quantity logic and scope accuracy that reflects how buildings actually come together.
“Beam AI eliminates days of manual takeoff work, expands bid capacity with existing estimators, and gives teams the consistency they need to compete at a higher level,” says Dhawan.
Accuracy through Automation and Human Review
How does combining AI and human review improve takeoff accuracy and reliability?
Expanding Capacity without Expanding Headcount
How can AI-driven estimating increase bidding volume without adding staff?
For contractors under fifty million dollars in revenue, the estimating capacity gap is existential. And Beam AI’s ability to increase bidding capacity with the same staff closes it.
Pilkington Construction Co., previously relying on Bluebeam and OST, saw review time fall from a full week to a few hours per project, driving 1.5x business growth through higher bid throughput and better accuracy. Vinco Builders LLC reduced per-project estimating time from eight to twenty hours down to two to eight hours, pushing weekly bid volume from two to three jobs up to five to seven.
Same team, stronger proposals, sharper competitive edge.
A Full Preconstruction Ecosystem
How does an integrated platform transform the entire preconstruction lifecycle?
Beam AI’s scope now extends across the entire preconstruction lifecycle. The Bid Dashboard centralizes visibility into open bids, deadlines, scopes, and delivery timelines. For mechanical contractors, the newly launched DIY HVAC and piping takeoff product delivers AI-generated quantities in less than ten minutes with 90 percent feature capture accuracy, paired with trade-specific adjustment tools and Excel export. The platform also flags drawing mismatches, revision changes, and scope deviations in real time, ensuring margins are protected before any bid leaves the office.
Backed by USD 48 million in funding including a USD 30.5 million Series B led by Insight Partners, Beam AI continues to expand its AI research and US engineering teams. Recognition from Forbes, Construction Executive, BuiltWorlds, Capterra, Software Advice, and several other renowned publications underscores both the platform’s technical credibility and its customer trust.
Dhawan’s long-term vision with Beam AI is straightforward: to build a fully connected preconstruction ecosystem, unifying takeoffs, estimating, and bid management into one intelligent platform. In a sector where margins are razor-thin and time is the scarcest resource, this stands as a blueprint for a successful future.
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Company
Beam AI
Management
Shiva Dhawan, Co-Founder and CEO
Description
Beam AI accelerates preconstruction by merging automation and expertise. Contractors gain predictable speed, scope-accurate takeoffs, and bid visibility, saving time, boosting capacity, and achieving growth without hiring, supported by strong industry recognition and investor confidence.
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