Quotr's AI Cuts Construction Takeoffs From 20 Hours to Two

The hardest part of a construction bid isn't the pricing. It's the counting. For a subcontractor or a small general contractor, the process of manually measuring and tallying every door, window, and square foot of drywall from a PDF plan set can swallow a day or more of a skilled estimator's time. It's a tedious, error-prone bottleneck that sits right at the top of the sales funnel, and it's where Quotr, a Berkeley-based startup, is planting its flag.

Founded in 2024, Quotr has built an all-in-one AI platform that promises to collapse that preconstruction workflow. Contractors upload a PDF or image of their plans; the software's AI performs a quantity takeoff, attaches local material and labor costs, and spits out a priced estimate and client-ready proposal. The company claims the result is an 80% reduction in takeoff time, turning a 20-hour slog into a one or two-hour task [Citybiz, September 2026]. In September 2026, Quotr secured a $4 million seed round led by Llama Ventures to scale that promise [Business Wire, September 2026].

The wedge: from takeoff to procurement

Quotr's initial wedge is speed, but its longer-term play is about closing the loop. The platform doesn't stop at generating an estimate. It also offers a procurement layer, connecting users directly to factory suppliers for materials like drywall, concrete, or flooring. The company claims this can yield savings of 40 to 50% below retail pricing [Perplexity Sonar Pro Brief]. For a contractor, the appeal is clear: one piece of software that handles the measurement, the math, the proposal, and then helps you buy the stuff you just priced out.

This integrated approach is aimed squarely at a specific user: the small to mid-sized subcontractor team managing multiple bids per week. Pricing reflects this focus, with a solo plan starting at $299.90 per month and a team plan for 2-6 seats at $499.90 per month [Quotr Blog, 2026]. The company also offers a 'done-for-you' service for more complex pro formas, providing a human-in-the-loop option for larger or more irregular projects [Quotr.ai, retrieved 2026].

The team betting on construction tech

The founding team blends software engineering with direct industry experience. CEO Hanyang Liu left a career in architecture to build the company [Hanyang Liu - LinkedIn, retrieved 2026]. Co-founder Junzhe Shi is a PhD candidate or graduate from UC Berkeley and a former software engineer at Apple [Perplexity Sonar Pro Brief]. Another co-founder, Xinyan H., brings a decade of prior construction experience to the role of COO [Xinyan H. - LinkedIn, retrieved 2026]. This mix suggests a deliberate effort to balance technical AI capability with an operator's understanding of the messy, detail-oriented world of construction bidding.

Seed Round (Sep 2026) | 4 | M USD

The $4 million seed round, with participation from strategic angel investors, is earmarked for expanding enterprise deployments and growing the supplier network [Business Wire, September 2026]. The company reports that workflows on its platform have already represented over $1.2 billion in cumulative construction value [Citybiz, September 2026], a metric that speaks to early adoption volume, if not yet to concentrated revenue.

Where the foundation needs to prove itself

For all its ambition, Quotr's model introduces several risks that will define its next phase. The procurement play, while potentially lucrative, requires building and managing a complex supplier network and logistics layer,a fundamentally different business from SaaS. The claimed 40-50% savings are compelling, but they originate from company descriptions rather than independently verified case studies [Perplexity Sonar Pro Brief]. Furthermore, the competitive landscape in construction tech is crowded with established players and well-funded newcomers.

• The procurement moat. The material savings are a powerful hook, but realizing them at scale depends on supplier relationships and fulfillment reliability. This is an operations-heavy lift that most pure software teams have no experience with.
• Accuracy is non-negotiable. In construction, a mistaken takeoff doesn't just lose a bid; it can lose a company money on a won project. Quotr's AI must prove it can match or exceed human precision across a wide variety of plan formats and project types.
• The competitive set. Quotr is not entering a greenfield. It faces competition from vertical specialists like Togal.AI, legacy estimating software suites, and the entrenched habit of manual takeoff using tools like Bluebeam. Its integrated workflow is the differentiator, but it must be demonstrably better to justify displacing existing, disconnected tools.

The next twelve months for Quotr

The seed funding provides an 18 to 24-month runway to answer these questions. The key milestones to watch will be the announcement of named enterprise contractor customers, which would validate the software at a higher ACV, and concrete details on the expansion of its supplier network. The company's open roles in business development and field marketing suggest a push to move beyond product-led growth and build a direct sales motion [Perplexity Sonar Pro Brief].

Quotr's ideal customer profile is a subcontractor or small GC with 2 to 10 estimators, drowning in plan sets and hungry for any edge that speeds up bidding and improves margin. For that buyer, the promise of reclaiming dozens of billable hours per week is the initial sell. The promise of buying materials at near-wholesale cost is what could lock them in.

The realistic competitive set extends beyond other AI takeoff tools. It includes the inertia of the status quo,the trusted, manual process,and the suite of point solutions a contractor already uses. Quotr's bet is that a single, integrated platform for the entire preconstruction workflow is valuable enough to consolidate those tools and change that habit. The next year will be about proving that integration is not just convenient, but economically indispensable.

Sources

1. [Business Wire, September 2026] Quotr Raises $4M to Bring AI Capabilities to Preconstruction | https://www.businesswire.com/news/home/20260930844525/en/Quotr-Raises-$4M-to-Bring-AI-Capabilities-to-Preconstruction
2. [Citybiz, September 2026] Quotr Raises $4M to Expand AI-Powered Construction Estimating Platform | https://www.citybiz.co/article/911654/quotr-raises-4m-to-expand-ai-powered-construction-estimating-platform/
3. [Quotr.ai, retrieved 2026] Quotr.ai, The all-in-one estimation platform | https://quotr.ai/
4. [Quotr Blog, 2026] Best Drywall Estimating Software in 2026 | Quotr Blog | https://quotr.ai/blog/best-drywall-estimating-software-in-2026/
5. [Perplexity Sonar Pro Brief] Quotr company and product overview | (Web-grounded brief)
6. [Hanyang Liu - LinkedIn, retrieved 2026] Hanyang Liu - Co-Founder @ Quotr | https://www.linkedin.com/in/hanyang-liu1/
7. [Xinyan H. - LinkedIn, retrieved 2026] Xinyan H. - Co-Founder & COO @ Quotr | https://www.linkedin.com/in/xinyan-he-1b3b5a1a0/
8. [Quotr.ai, retrieved 2026] Quotr.ai for Contractors, Estimating software for subs | https://quotr.ai/contractors