Attentive.ai Raises $30.5M Series B to Scale Beam AI and Expand Into New Markets

Attentive.ai raised $30.5M Series B to speed up Beam AI and expand, bringing total funding to $48M. It automates takeoffs and bidding so construction teams estimate faster.

Published on: Nov 14, 2025
Attentive.ai Raises $30.5M Series B to Scale Beam AI and Expand Into New Markets

Attentive.ai Raises $30.5 Mn To Scale AI Takeoffs And Bidding For Construction And Field Services

Attentive.ai has secured $30.5 Mn in Series B funding led by Insight Partners, with participation from Vertex Ventures, Tenacity Ventures, and Info Edge Ventures. The Delaware-based SaaS startup will use the capital to accelerate product development and expand into new markets.

The company will double down on its construction-focused platform, Beam AI, and extend its footprint internationally. Total funding now stands at $48 Mn.

What Attentive.ai Does

Founded in 2017 by Shiva Dhawan and Sarthak Vijay, Attentive.ai builds AI-powered takeoff and bidding tools for construction and field-service teams. Its flagship product, Beam AI, automates manual site measurement from plans and aerial imagery so estimators can produce accurate quantities faster.

Contractors, landscapers, and outdoor-service firms report higher bid capacity and faster turnarounds-key for hitting backlog targets without ballooning headcount.

Why This Matters For Developers, GCs, Subs, And Service Firms

  • Faster estimates mean more shots on goal without sacrificing accuracy.
  • Standardized takeoffs reduce variance across estimators and help protect margins.
  • Tighter preconstruction cycles support faster starts and more predictable schedules.
  • For small businesses, automation levels the playing field against larger competitors.

Traction That Stands Out

  • 1,200+ contractors and suppliers supported across preconstruction workflows
  • 1,000+ construction firms, 3,500 active users on Beam AI
  • 4.4 Mn+ acres of project sites processed
  • 365K+ automated takeoffs completed
  • Client roster includes PCC, US Lawns, Juniper, Clean Scapes, and Sunrise Landscapes

Market Context

Construction tech continues to see steady adoption as firms chase throughput and predictability. According to Deloitte research, the global construction market is projected to reach $16.11 Tn by 2030. For broader trendlines on productivity, backlog, and labor, see Deloitte's outlooks here.

Attentive.ai operates in a competitive space with players such as Procore, PlanGrid, and Bluebeam. Its focus on automated takeoffs and bidding workflows gives it a clear, measurable wedge: turn time, accuracy, and repeatability.

Company Direction

"With this funding, we're accelerating our AI model development and product innovation across the entire preconstruction lifecycle," said cofounder and CEO Shiva Dhawan. Expect faster feature velocity in takeoffs, cost estimation, and related precon services, plus expansion into new geographies.

Funding Snapshot

  • New round: $30.5 Mn Series B led by Insight Partners
  • Other investors: Vertex Ventures, Tenacity Ventures, Info Edge Ventures
  • Total funding: $48 Mn
  • Prior raise: $12 Mn Series A nine months ago (led by Tenacity Ventures, with Vertex Ventures, Peak XV Partners, and Info Edge Ventures)

Practical Next Steps For Construction And Real Estate Teams

  • Audit your current takeoff workflow: average cycle time, error rates, change-order drivers.
  • Run a pilot: pick 10-20 recent or upcoming projects and benchmark manual vs. AI-assisted takeoffs.
  • Integrate with your estimating stack: templates, assemblies, and unit-cost libraries.
  • Track the right KPIs: time-to-estimate, win rate, variance from estimate to actuals, gross margin.
  • Train estimators and PMs on new workflows; assign an internal champion to own adoption.
  • Validate data security and audit trails for compliance and owner requirements.

Level Up Your Team's AI Skills

If you're building an upskilling plan for estimators, PMs, or ops leaders, explore role-based AI course paths here. Clear, job-focused learning shortens the time from trial to impact.


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