Quotr

Cover Block

From the public record

Name	Quotr
Tagline	AI construction takeoff software for contractors and developers, offering estimation, bidding, and procurement.
Headquarters	Berkeley, CA
Founded	2024
Stage	Seed
Business Model	SaaS
Industry	Proptech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	Seed (total disclosed ~$4,000,000)

Links

From the public record

• Website: https://quotr.ai/
• LinkedIn: https://www.linkedin.com/company/quotr

The Short Version

From the public record Quotr is an early-stage attempt to consolidate the fragmented, manual preconstruction workflow for contractors by integrating AI-driven quantity takeoff, cost estimating, bidding, and procurement into a single platform [Business Wire, September 2026]. Founded in 2024, the company is pursuing a classic venture-scale bet that software can capture significant value by accelerating a critical, time-sensitive process where speed directly translates to winning more bids [Citybiz, September 2026].

Its founding team combines technical and domain backgrounds, with CEO Hanyang Liu coming from architecture and co-founder Junzhe Shi bringing software engineering experience from Apple and UC Berkeley [Perplexity Sonar Pro Brief]. The company's $4 million seed round, led by Llama Ventures and announced in September 2026, provides capital to validate its integrated model and expand its supplier network [Business Wire, September 2026].

The business model is a straightforward SaaS subscription, with public pricing starting at $299.90 per month for individual users [Quotr Blog, 2026]. Over the next 12 to 18 months, the critical watchpoints will be the company's ability to convert its claimed time-savings into verified, named enterprise deployments and to demonstrate that its procurement layer can deliver the material cost savings it advertises at scale.

Single-source, plausible -- Core company facts (founding, funding, team roles) are reported by named publishers, but key performance claims and product details are sourced from company materials.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	SaaS
Industry / Vertical	Proptech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	Seed (total disclosed ~$4,000,000)

The Company in Brief

From the public record

Quotr operates as a Berkeley, California based AI software company targeting the construction preconstruction phase. The entity was founded in 2024 and is a product of FLOZ Inc., though the corporate history of FLOZ itself is not detailed in public filings [Perplexity Sonar Pro Brief]. The company announced a $4 million seed financing round on September 30, 2026, led by Llama Ventures, which it described as its first institutional capital [Business Wire, September 2026].

The founding team includes Hanyang Liu, identified as co-founder and CEO, and Junzhe Shi, a co-founder and former Apple software engineer with ties to UC Berkeley [Perplexity Sonar Pro Brief]. Public recruiting materials also list Joseph Ongaco and Xinyan H. as co-founders, with Xinyan H. noted as having a decade of prior construction experience [Perplexity Sonar Pro Brief][Xinyan H. - LinkedIn]. The company has been affiliated with the Berkeley SkyDeck accelerator program [VCBacked].

Single-source, plausible -- Key facts like founding year and funding are confirmed by a single independent source (Business Wire). Team composition and accelerator affiliation are drawn from a mix of public profiles and third-party summaries, lacking full independent corroboration.

What They Have Built

Mixed sourcing

Quotr's product is an integrated software platform that attempts to collapse three distinct preconstruction workflows into a single AI-driven interface. The core proposition, as described on the company's website, is to serve as "the all-in-one estimation platform" combining AI-powered quantity takeoff, cost estimating, and client-ready bid generation [Quotr.ai]. A procurement layer, which connects users to factory-direct materials, is presented as a logical extension of the estimating process [Quotr.ai].

The claimed user workflow begins with uploading PDF or image plan sets. The platform's AI then identifies and counts materials, applies localized cost data to produce a priced estimate, and finally generates a proposal document for the contractor to send to a client [Perplexity Sonar Pro Brief]. The company states its software supports estimating across multiple trades, including electrical, concrete, flooring, and drywall, with plans to expand into plumbing and HVAC [Quotr Blog, 2026]. It also offers a hybrid model: alongside the self-service software, Quotr provides a "done-for-you" service where users can submit project details for the company to produce pro forma estimates [Quotr.ai].

Publicly disclosed performance metrics, which originate from the company, are ambitious. Quotr claims its customers have reduced takeoff time by as much as 80%, compressing workflows that previously took around 20 hours down to one or two hours [Citybiz, September 2026]. The procurement component is advertised as offering material savings of 40-50% below retail pricing, though this claim appears in recruiting descriptions rather than verified case studies [Perplexity Sonar Pro Brief]. The underlying technology stack is not detailed in public materials, but can be inferred from job postings seeking expertise in computer vision, large language models, and full-stack web development.

Single-source, plausible -- Product scope and workflow are described consistently across the company website and press coverage, but all performance and savings metrics remain company-only claims without independent verification.

Market Size and Demand

From the public record The push for efficiency in construction, a sector historically defined by thin margins and labor-intensive planning, is creating a tangible opening for software that can compress the preconstruction timeline.

Quantifying the total addressable market for AI-powered takeoff and estimating software is challenging without a dedicated third-party report, but the scale of the underlying construction activity provides a useful analog. The U.S. construction industry spent an estimated $2.1 trillion on new projects in 2025, according to the U.S. Census Bureau [U.S. Census Bureau, 2025]. Preconstruction services, including estimating, bidding, and procurement, typically account for 5% to 10% of total project value, suggesting a serviceable market for software tools in the hundreds of billions. For a more direct comparison, the global construction management software market was valued at approximately $12.5 billion in 2024 and is projected to grow at a compound annual rate of 8.5% through 2030 [Grand View Research, 2024]. Quotr's focus on subcontractors and small to mid-sized general contractors targets a fragmented segment of this broader market where manual processes remain prevalent.

Demand is being driven by persistent industry pressures. A chronic shortage of skilled estimators and project managers forces firms to do more with fewer people [Associated General Contractors of America, 2025]. Simultaneously, material price volatility and supply chain disruptions, heightened in the post-pandemic period, have made accurate, real-time cost estimation and procurement more critical than ever. These conditions create a clear tailwind for any platform that can demonstrably reduce the time and risk associated with preparing bids. The company's claimed procurement savings of 40-50% below retail pricing, while sourced from its own descriptions, speaks directly to this pain point [Perplexity Sonar Pro Brief].

The key adjacent market is the broader field of construction project management software, which includes scheduling, document control, and field collaboration tools. Platforms like Procore and Autodesk Construction Cloud have established enterprise footprints. Quotr's wedge is not to displace these systems but to serve as a specialized, AI-native front-end for the estimating workflow, with the potential to integrate downstream. A more direct substitute market is the ecosystem of standalone takeoff tools and legacy estimating software, which often require significant manual input and lack integrated procurement.

Macro and regulatory forces present a mixed picture. Increased federal funding for infrastructure projects under acts like the Infrastructure Investment and Jobs Act could stimulate demand for efficient estimating tools among contractors bidding on public works. However, the construction industry is cyclical and sensitive to interest rate changes, which can abruptly slow new project starts. There are no significant, immediate regulatory hurdles specific to estimation software, though data privacy and security standards for handling sensitive architectural plans are a baseline requirement.

U.S. Construction Spend (2025) | 2100 | $B
Construction Management Software Market (2024) | 12.5 | $B

The chart illustrates the vast total expenditure in construction against the more focused, but still substantial, market for software aimed at managing it. Quotr's opportunity lies in capturing a slice of the software spend by automating a high-friction, preconstruction segment.

Single-source, plausible -- Market size figures are from established third-party reports (U.S. Census, Grand View Research). Demand driver analysis is supported by industry association reporting. Quotr's specific procurement savings claim remains company-sourced.

Who Else Is Fighting for This

Mixed sourcing Quotr enters a construction software market defined by entrenched, high-touch enterprise suites and a newer wave of AI-native point solutions, positioning itself as an integrated workflow that spans takeoff, estimating, and procurement.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Quotr	AI-native, integrated takeoff, estimating, bidding, and procurement for contractors and developers.	Seed, $4M (Sep 2026)	Combines automated quantity takeoff with a factory-direct procurement marketplace.	[Business Wire, September 2026], [Quotr.ai]
Togal.AI	AI-powered takeoff and estimating software for contractors.	Seed, $5M (2023)	Focuses on automating takeoff from construction plans with a claimed 80%+ time savings.	[Crunchbase]

Competition for Quotr is best understood across three distinct layers. The first comprises legacy, high-fidelity estimating suites like Bluebeam Revu and Planswift, which are deeply embedded in contractor workflows but require extensive manual input. The second layer is the modern wave of AI-native takeoff tools, such as the named competitor Togal.AI, which directly targets the time-saving promise of automated quantity extraction. The third layer consists of adjacent substitutes: standalone procurement platforms, bid management software, and the pervasive use of spreadsheets and manual processes that still define the majority of small to midsize contractor operations.

Quotr's stated edge today is its integration of these separate workflow stages. While a tool like Togal.AI automates takeoff, Quotr claims to extend that automation through cost estimating, proposal generation, and into materials sourcing with promised savings of 40-50% below retail [Perplexity Sonar Pro Brief]. This creates a potential lock-in effect through workflow continuity rather than a single feature. However, this edge is perishable. It depends on the accuracy of its takeoff AI, the depth and reliability of its supplier network, and its ability to maintain a procurement price advantage,all areas where incumbents or specialized competitors could attack individual links in the chain.

The company's most significant exposure lies in its procurement layer. This requires building a two-sided marketplace of contractors and material suppliers, a fundamentally different and more complex operational challenge than developing SaaS software. Established construction material distributors and procurement networks have deep existing relationships and logistical expertise Quotr does not yet possess. Furthermore, the company's current public traction is measured in cumulative project value, not disclosed enterprise contracts or procurement volume, leaving its commercial foothold in this critical component unverified [Citybiz, September 2026].

The most plausible 18-month scenario hinges on whether Quotr can convert its integrated workflow promise into a defensible procurement business. If the company can successfully onboard a critical mass of suppliers and demonstrate reliable cost savings, it could become a winner by creating a new category of "estimating-to-order" software, making point solutions seem incomplete. Conversely, if procurement growth stalls or takeoff accuracy fails to meet enterprise-grade scrutiny, Quotr becomes a loser, reverting to just another AI takeoff tool in a crowded field, competing directly on the same feature set as Togal.AI and others without a durable moat.

Single-source, plausible, One named competitor (Togal.AI) is confirmed via Crunchbase. Quotr's competitive positioning and differentiation claims are sourced from company materials and a single industry publication [Business Wire, September 2026]; the procurement advantage claim lacks independent customer validation.

Opportunity

From the public record The prize for Quotr is the automation of a fragmented, multi-trillion-dollar construction supply chain, beginning with the digitization of its first and most critical step: the estimate.

The headline opportunity is to become the default preconstruction operating system for small and mid-sized contractors, a category that has historically resisted comprehensive software adoption. The reachable outcome is not just a better takeoff tool, but a platform that owns the workflow from plan upload to material order. Evidence from the company's own positioning suggests this is the intended path; the platform already combines quantity takeoff, cost estimating, bid generation, and materials procurement in one workflow [Perplexity Sonar Pro Brief]. For contractors, the incentive to adopt a single system that promises to cut a 20-hour takeoff process down to one or two hours is clear, even if the 80% reduction claim remains unverified by independent case studies [Citybiz, September 2026]. The initial wedge with subcontractors provides a beachhead into a vast, underserved market of businesses for whom preconstruction software is a cost center, not a solved problem.

Growth scenarios outline concrete paths to scale beyond the initial user base. The following table details two plausible, evidence-supported trajectories.

Scenario	What happens	Catalyst	Why it's plausible
Enterprise General Contractor (GC) Adoption	Quotr expands from serving subcontractor teams to becoming the mandated estimating platform for large general contractors on complex projects.	A flagship partnership with a top-100 ENR GC, using Quotr to standardize bids from all their subs.	The company has stated a strategic direction to expand enterprise deployments with its new funding [Business Wire, September 2026]. Its claimed support for commercial, data-center, and heavy-industrial project types indicates product development aimed at this segment [Citybiz, September 2026].
Procurement Network Dominance	The materials procurement layer becomes the primary revenue driver, with Quotr acting as a high-margin marketplace connecting contractors directly to manufacturers.	Achieving a critical mass of contractor demand that attracts major building material suppliers to list exclusively on Quotr for certain regions or product categories.	The company publicly claims its procurement layer can offer savings of 40-50% below retail pricing, a value proposition powerful enough to change buying behavior if proven [Perplexity Sonar Pro Brief]. Seed funding is earmarked for supplier-network expansion [Business Wire, September 2026].

What compounding looks like is a data and workflow flywheel. Every project uploaded improves the accuracy of Quotr's AI for material quantification and cost estimation across similar projects. This creates a product moat: a contractor switching to a new system would lose the benefit of that trained, project-specific intelligence. More critically, a growing base of contractors using Quotr for procurement gives the company aggregated demand data, strengthening its negotiating position with suppliers for better pricing and availability. This, in turn, makes the procurement layer more attractive, drawing in more contractors and further improving the data asset. The early signal of this flywheel is the company's report of over $1.2 billion in cumulative construction value processed, suggesting a foundational dataset is being assembled [Citybiz, September 2026].

The size of the win can be framed by looking at the valuation of public peers in adjacent construction technology. Procore, a project management platform, trades at a market capitalization of approximately $10 billion. While Procore operates later in the construction lifecycle, its success demonstrates the premium investors place on software that becomes deeply embedded in core construction workflows. A more direct, though private, comparable is Togal.AI, a competitor in AI-powered takeoff which raised a $5 million seed round in 2023. If Quotr successfully executes on the enterprise GC adoption scenario and captures a material portion of the preconstruction software spend for mid-market contractors, a valuation in the low hundreds of millions of dollars within five years is a plausible outcome (scenario, not a forecast). The procurement network scenario, should it achieve liquidity, could command an even higher multiple due to its marketplace economics.

Single-source, plausible -- Growth scenarios and opportunity size are extrapolated from company-stated strategic goals and limited public traction claims. The compounding flywheel is a logical model based on the product's described features, but its operational reality is not yet independently verified.

Sources

From the public record

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. [Perplexity Sonar Pro Brief] (Web-grounded research brief) | (Source content integrated into analysis; no direct URL for the brief itself)

5. [Quotr Blog, 2026] Best Drywall Estimating Software in 2026 | https://quotr.ai/blog/best-drywall-estimating-software-in-2026/

6. [Xinyan H. - LinkedIn, retrieved 2026] Xinyan H. - Synchrony | LinkedIn | https://www.linkedin.com/in/xinyan-he-6b4a5b1a2/

7. [VCBacked, retrieved 2026] Quotr.ai Funding & Investors - Seed - Berkeley | VCBacked | https://www.vcbacked.co/company/quotrai

8. [Crunchbase, retrieved 2026] Togal.AI - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/togal-ai

9. [U.S. Census Bureau, 2025] Construction Spending | https://www.census.gov/construction/c30/c30index.html

10. [Grand View Research, 2024] Construction Management Software Market Size Report, 2024-2030 | https://www.grandviewresearch.com/industry-analysis/construction-management-software-market

11. [Associated General Contractors of America, 2025] 2025 Construction Hiring and Business Outlook | https://www.agc.org/news/2025/01/13/construction-firms-predict-increases-demand-most-categories-2025-while-coping