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Quotr Raises $4M to Expand AI Construction Estimating

Quotr raised $4M Seed led by Llama Ventures to expand its AI-powered construction estimating and procurement platform.

Quotr raises $4M

The big picture: Quotr has raised $4 million in seed funding to expand its AI-powered construction estimating and procurement platform. The company plans to grow enterprise deployments, add suppliers, and move deeper into data center, heavy industrial, and mission-critical construction.

Why it matters:

  • Efficiency gains: Quotr targets the labor-intensive preconstruction phase, automating quantity takeoffs, cost estimates, and bids. Customers report reducing takeoff time by up to 80% and submitting 40% more bids monthly.
  • Integrated workflow: The platform combines these disparate processes into a single workflow, eliminating manual data transfer between spreadsheets and separate software products, which often leads to errors and delays.
  • Market expansion: The funding will support Quotr’s entry into complex enterprise construction projects, including data centers, a market projected to grow significantly, requiring specialized and precise estimation.

How it works:

  • AI-powered analysis: Contractors upload PDF or image plan sets, which Quotr’s AI analyzes to identify and count required materials, generating a priced estimate that can be converted into client proposals.
  • Live procurement data: The platform incorporates a live data layer that provides real-time information on material price movements, supplier availability, and quote expiration periods, ensuring estimates reflect current market conditions.
  • Natural language query: An integrated AI agent allows contractors and developers to query cost assumptions using natural language, tracing estimate elements back to project drawings for transparency and verification.

The catch: Despite the clear benefits of AI in construction, the industry has historically been slow to adopt new technologies, often relying on established, manual processes. Quotr will need to overcome this inertia and demonstrate clear ROI against deeply ingrained habits, while also navigating a competitive landscape of existing construction software providers and ensuring its supplier network can scale to meet diverse and complex project demands.

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