RainingMoney Financial & Business Intelligence Abuja
Subscribe

TechnologyMedium

Quotr Secures $4M Seed Funding to Automate AI Preconstruction Estimation

Berkeley SkyDeck alum Quotr emerges from stealth with $4M in seed funding led by Llama Ventures to transform preconstruction estimation into a commercial operating system.

By Published 2 min read Editorial Policy Report a correction

international
Quotr Secures $4M Seed Funding to Automate AI Preconstruction Estimation
Image credit: Company Official Logo
Quotr, an AI-native preconstruction platform, has secured $4 million in seed funding in a round led by Llama Ventures, featuring participation from strategic angel investors. 


Emerging from stealth after incubating at Berkeley SkyDeck, Quotr targets one of the most persistent operational bottlenecks in commercial real estate and construction: manual preconstruction workflows.

Led by co-founder and CEO Hanyang Liu, Quotr aims to turn estimates from static, throwaway documents into the underlying commercial operating system for the entire lifecycle of a build.


Automating the Preconstruction Bottleneck

Historically, estimation and bidding have relied heavily on manual markups, disparate spreadsheets, and point solutions. Contractors often turn down opportunities not because their pricing is uncompetitive, but because calculating itemized quantities from massive blueprint sets takes dozens of hours.

Quotr’s platform addresses this by allowing contractors to upload PDF or image plan sets directly. Its AI engine automatically extracts item counts, builds structured cost estimates, and outputs client-ready proposals.

Beyond initial estimation, Quotr addresses post-bid volatility through a live procurement data layer. This system monitors material price fluctuations, tracks supplier availability, and alerts teams to expiring quotes—ensuring project budgets remain aligned with real-time market realities. Both contractors and developers can query the platform's AI Agent using natural language to trace cost drivers back to original blueprints.


Performance Metrics & Expansion Plans

According to company data, contractors using Quotr in production across residential, multifamily, and commercial builds have experienced:

Takeoff Reduction: Decreased manual takeoff labor by up to 80% (moving turnaround times from ~20 hours to 1–2 hours).

Capacity Increase: Enabled teams to submit 40% more bids per month without increasing estimator headcount.


With this seed capital, Quotr plans to expand enterprise deployments, scale its supplier integrations, and push into high-stakes heavy industrial and mission-critical construction. Specifically, the firm is eyeing the U.S. data center buildout—a sector expanding at an 8.9% CAGR through 2031—where scope errors and supply chain timing carry immense capital risk across dozens of specialized trade categories.


Why It Matters (RainingMoney Strategic Take)

Preconstruction is where real estate development projects are won, lost, or rendered unprofitable before ground is broken. B2B software historically focused on on-site execution (e.g., field management, site communication), leaving pre-build pricing stranded in fragmented offline spreadsheets.

By capturing the estimation phase, Quotr sits at the high-margin intersection of software automation and supply chain procurement. Establishing a single, traceable source of truth for scope and pricing gives contractors the velocity needed to win more work, while giving developers better cost predictability in an era defined by volatile material prices and tight debt financing.

Sources & Verification

  1. Official Company Portal: Quotr.ai — Official Product Platform and Announcement Disambiguation

Founder and Editor-in-Chief

Betini Udom

Founder of RainingMoney, covering Nigerian, pan-African and global markets, finance, and economic policy.

Author profile & archive →

The Money Print

Market intelligence before the market opens.

Pan-African capital flows and the stories behind the numbers, on weekday mornings.

Related

More from Technology