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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.
What makes Beam AI different from other construction takeoff solutions?
Beam AI approaches construction takeoff solutions as a complete preconstruction workflow rather than as a standalone measurement tool. The platform combines AI-based quantity extraction with human quality review, allowing contractors to receive bid-ready takeoffs that align with real estimating workflows. Instead of requiring estimators to spend days tracing drawings and organizing quantities manually, Beam AI delivers structured outputs across architectural, civil, structural and MEP drawings within predictable turnaround windows. Its trade-specific AI models are trained to interpret building intent and scope relationships, which helps improve consistency and reduce manual rework during the bidding process.
How does Beam AI help estimating teams increase bidding capacity?
Construction firms often struggle to pursue more opportunities because estimating resources become overloaded. Beam AI addresses this challenge through construction takeoff solutions that automate large portions of quantity extraction while maintaining review controls. Contractors using the platform can complete more bids without expanding headcount because estimators spend less time measuring plans and more time refining pricing strategy, vendor coordination and proposal quality. The platform’s ability to deliver organized Excel-ready outputs also reduces downstream formatting work, helping teams move faster from plan review to bid submission.
Why is Beam AI relevant for contractors managing complex multi-trade projects?
Multi-trade estimating introduces significant coordination challenges because drawings contain overlapping architectural, mechanical, structural and civil details that must remain aligned throughout takeoff workflows. Beam AI developed its construction takeoff solutions specifically to manage this complexity across numerous trades. The platform extracts quantities from large drawing sets while validating scope relationships through both automated analysis and human QA review. Contractors working on commercial and specialty trade projects benefit from structured quantity outputs that fit directly into pricing and estimating systems. The platform also identifies revision changes and drawing mismatches in real time, helping estimators protect margins before bids are finalized.
How does Beam AI support accuracy and reliability during takeoff workflows?
Accuracy remains one of the most important considerations when evaluating construction takeoff solutions because quantity errors directly affect bid competitiveness and project profitability. Beam AI combines automation with cross-sheet validation and human-in-the-loop review to strengthen reliability before deliverables are approved. AI models first interpret drawings and assemble quantity information, after which experienced reviewers verify scope alignment and quantity breakdowns. This layered review structure reduces the risk of incomplete or inconsistent outputs while allowing estimating teams to work from more dependable data. Industry reviews and contractor feedback frequently highlight the platform’s ability to balance speed with measurable quantity accuracy.
How does Beam AI improve workflow visibility during preconstruction?
Beam AI extends beyond quantity extraction by integrating broader preconstruction coordination tools into its construction takeoff solutions. The Bid Dashboard centralizes information related to active bids, deadlines, scopes and delivery timelines so teams can monitor estimating workloads more effectively. For mechanical contractors, the platform also offers self-service HVAC and piping takeoff tools that generate AI-assisted quantities in minutes while still supporting trade-specific adjustments. Structured outputs reduce friction between estimators, procurement teams and project managers, creating a more connected bidding process from initial drawing review through proposal preparation.
Why are contractors paying closer attention to AI-powered estimating platforms like Beam AI?
Contractors are under pressure to respond to more bid opportunities without sacrificing accuracy or overextending estimating staff. Beam AI’s construction takeoff solutions address this shift by helping firms reduce manual measurement workloads while improving turnaround consistency. The platform’s combination of automation, QA validation and workflow organization supports faster decision-making during preconstruction. Industry recognition, contractor adoption and continued investment in AI development have also strengthened Beam AI’s visibility within the estimating technology market. While experienced estimators still oversee scope interpretation and pricing strategy, the platform helps remove repetitive tasks that traditionally slow down bid production.
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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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