Beam AI

Shiva Dhawan, Beam AI | Construction Tech Review | Top Construction Takeoff Solution Shiva Dhawan, Co-Founder and CEO
Why do manual takeoffs limit bidding capacity in construction estimating workflows?

For 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?

At the core of Beam AI’s reliability is a two-step process that combines automation with human expertise. AI models first interpret drawings and extract quantities across all trades. Then every project undergoes cross-sheet validation and a full human-in-the-loop QA review to verify scope and quantity breakdowns before final approval.
  • 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.


All deliverables arrive as bid-ready takeoffs and Excel-based estimating outputs that fit directly into pricing workflows. No reformatting, no rework. This predictability reshapes team operations, freeing estimators to focus on the decisions that actually drive win rates. Be it pricing strategy, vendor management, scope alignment, or value engineering.

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.

Deep Dive

Choosing the Right Construction Takeoff Platform for Faster, Scalable Bidding

Construction estimating sits at the center of preconstruction performance. Contractors depend on precise quantity extraction from complex drawing sets to produce reliable bids, control costs and compete effectively for new work. Manual takeoffs and conventional digital measurement tools often create bottlenecks in the process. Estimators spend hours tracing drawings, reconciling quantities across sheets and verifying scope boundaries before any meaningful pricing work can begin. Project timelines rarely allow generous review cycles, which means estimating teams frequently face a difficult trade-off between speed and accuracy. Executives responsible for selecting construction takeoff technology increasingly recognize that improving this stage of the workflow can reshape the economics of bidding itself. The most capable modern solutions shift the focus away from simple digitization of manual measurement toward accelerating the entire estimating workflow. Construction drawings contain layered information spanning architectural layouts, structural elements and specialized trade details. Software that merely converts drawings into measurable lines or areas still leaves estimators responsible for interpreting the plans, assembling quantities and validating scope. Effective platforms interpret drawing intent, recognize assemblies and deliver structured quantities ready for pricing rather than requiring extensive manual preparation. This approach reduces the risk of quantity gaps that can quietly erode margins once construction begins. Speed remains another decisive factor in the adoption of automated takeoff systems. Contractors frequently encounter situations in which bidding capacity is constrained not by opportunities but by estimating resources. Traditional workflows can stretch across several days for a single project, particularly when drawings involve multiple trades or revisions. Reliable turnaround times allow leadership teams to allocate estimating workloads confidently and pursue a larger pipeline of projects without expanding staff. Predictable delivery schedules also support better coordination between estimators, project managers and procurement teams during preconstruction planning. Accuracy must accompany that speed if automation is to deliver meaningful value. Construction takeoffs directly influence material procurement, subcontractor scope alignment and final bid competitiveness. Errors in quantities can distort cost projections or introduce disputes later in the project lifecycle. Strong platforms, therefore, incorporate validation mechanisms that ensure drawing interpretation remains consistent across sheets and specifications. Systems that combine automated analysis with experienced review processes tend to produce outputs that estimators can trust immediately, reducing the need for repeated cross-checks before pricing begins. Workflow integration further separates leading solutions from incremental tools. Estimators rarely operate in isolation; their outputs feed directly into bid preparation, supplier coordination and internal review processes. Quantities that arrive organized into assemblies or formatted for estimating software eliminate the need for additional formatting work. Platforms that offer visibility into active bids, deadlines and project scopes can also help management teams track estimating workloads and maintain momentum across multiple opportunities. Taken together, these capabilities transform takeoffs from a time-consuming prerequisite into a dependable starting point for the entire bidding cycle. Beam AI stands out as a strong example of this emerging approach to construction takeoff technology. The platform automates quantity extraction across architectural, structural, civil and MEP drawings while pairing AI interpretation with human quality review to verify scope and assemblies before delivery. Contractors typically receive complete takeoffs within 24 to 72 hours, allowing estimating teams to move directly into pricing rather than manual measurement. Structured outputs arrive ready for Excel-based estimating and bid preparation, which simplifies integration into existing workflows. Contractors using the platform often significantly expand bidding capacity while maintaining reliable quantity accuracy, a shift that helps estimating teams focus on strategy, vendor coordination, and proposal quality rather than measurement tasks. ...Read more

Construction Takeoff Solution Info

Q1

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.

Q2

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.

Q3

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.

Q4

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.

Q5

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.

Q6

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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Beam AI

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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