Quotr Raises $4M Seed Led by Llama Ventures for AI Construction Estimation

Quotr Secures $4M Seed Round

Quotr, a product of FLOZ Inc., has raised $4 million in seed funding. The round was led by Llama Ventures, which is the sole investor listed in the transaction.

What Quotr Does

Quotr is an AI-native construction estimation platform based in Berkeley, California. The product unifies quantity takeoff, cost estimating, bidding, and procurement in a single workflow.

In practice, contractors upload PDF or image plan sets. The platform's AI reads those documents to count quantities and generate priced, client-ready proposals. Behind that workflow sits a live procurement data layer that tracks material prices and supplier availability.

Founded in 2024, Quotr serves developers, general contractors, and subcontractors working on residential, multifamily, and commercial projects.

Reported Customer Outcomes

According to the company, customers report up to 80% faster takeoffs and 40% more bids submitted per month. These figures reflect the operational bottleneck Quotr targets: estimation is labor-intensive, and faster, more consistent takeoffs translate directly into bid volume.

The Round at a Glance

• Company: Quotr (a product of FLOZ Inc.)
• Headquarters: Berkeley, California
• Founded: 2024
• Round: Seed
• Amount: $4,000,000
• Lead Investor: Llama Ventures
• Investors: Llama Ventures
• Announcement Date: September 30, 2026

Why Estimation Is a Target for AI

Construction estimating sits at the junction of document interpretation and pricing. Plan sets arrive as PDFs or images, quantities must be derived from drawings, and those quantities must then be priced against current material costs and supplier availability.

Historically, this work has been manual and fragmented across separate tools for takeoff, estimating, bidding, and procurement. Quotr's stated design goal is to collapse those steps into one workflow, with the AI handling document reading and quantity extraction and a data layer handling pricing context.

For contractors, the practical appeal is throughput. More bids submitted per month, produced faster, changes the economics of pursuing work — particularly for subcontractors who compete on volume and responsiveness.

Market Positioning

Quotr's focus spans residential, multifamily, and commercial projects, and its user base covers developers, general contractors, and subcontractors. That breadth matters because estimation needs differ across those roles: a developer may care about early-stage cost visibility, while a subcontractor cares about bid speed and accuracy on scoped packages.

Being AI-native from founding — the company launched in 2024 — means the product was built around document understanding and automated quantity extraction rather than retrofitted onto legacy estimating software.

What the Funding Signals

A $4 million seed round led by a single investor is a focused raise, consistent with an early-stage company extending product development and go-to-market. For a company founded in 2024, reaching a seed round with named customer outcomes suggests early commercial traction in a segment — construction technology — that has drawn sustained interest for its large, fragmented base of potential users.

For acquirers and strategics tracking construction software, Quotr represents an early-stage asset combining AI document processing with a procurement pricing data layer — two components that are often separate products in the estimating stack.