Quotr, a Berkeley company founded in 2024 that sells AI takeoff and estimating software to contractors, announced a $4 million seed round on September 30, 2026. Llama Ventures led the round, with strategic angel investors taking part, according to Quotr’s release on Business Wire. The product covers the estimating workflow from plan set to proposal: quantity takeoff, pricing, the proposal document and, if the contractor wants it, material procurement.
What it does
An estimator uploads a plan set as PDF or image files. Quotr’s software sorts the sheets, then counts symbols, measures lengths and calculates areas across the whole set. Quotr says it uses computer vision for this, meaning software trained to recognize objects in images, here the outlets, fixtures and openings drawn on a sheet. Every extracted quantity stays editable, and the estimator reviews and corrects the counts before pricing.
Pricing comes from the contractor’s own cost database or from Quotr’s average costs by US zip code. Line items stay linked to the markups on the drawing, and a finished estimate exports as a proposal PDF with scope, exclusions and pricing. A chat assistant, which Quotr calls the Quotr AI Agent, answers plain-language questions about the plan set, such as a symbol count or a room dimension.
The software page lists 23 trades, from electrical and drywall to structural steel and earthwork. Quotr’s four published case studies cover an electrical subcontractor, a Bay Area homebuilder, a modular manufacturer in South Carolina and a hospitality general contractor in Raleigh. So the daily user is an estimator at a specialty contractor or in a GC’s preconstruction group. Developers can instead send drawings to Quotr’s estimating desk, which the company says pairs AI analysis with review by its own estimators.
The release says the money will go toward enterprise deployments, a larger supplier network and a move into heavy industrial and mission-critical work, data centers included.
Evidence so far
The evidence so far is Quotr’s press release, its website, and a testimonial from an estimator at RL Electric, the electrical subcontractor in the case studies. These are the figures Quotr has published:
| Claim | Figure | Who reported it |
|---|---|---|
| Takeoff time before and after Quotr | Roughly 20 hours before and 1 to 2 hours after | Quotr press release, and an RL Electric estimator quoted on Quotr's website |
| Reduction in takeoff time | Up to 80% | Quotr press release |
| Bids submitted per month | 40% more | Quotr press release |
| Construction value estimated on the platform | Over $1.2 billion cumulative | Quotr press release |
The takeoff percentage and the example attached to it describe the same result in different terms.
- The release and the RL Electric testimonial both describe takeoffs that took roughly 20 hours and now take 1 to 2 hours.
- Going from 20 hours to 2 is a 90% cut. Going to 1 hour is a 95% cut.
- The release labels that result “up to 80%.”
The headline percentage comes out lower than the example offered with it. One reading is that 80% is a figure across more customers and the 20-hour job is the best case. The release text fits either reading, and the RL Electric case study page describes its outcomes in words, such as reduced manual counting. Quotr’s ROI calculator on the software page uses an 80% cut as a fixed input, so its sample result of $160,322 a year for two estimators at $65 an hour follows from that assumption.
The base period and customer sample behind the 80% and 40% figures, and count accuracy by trade, are not yet public. (One of the three testimonials on Quotr’s homepage comes from a principal at Llama Ventures, the round’s lead investor.)
How to measure it on your projects
Track takeoff hours per sheet, including review. Start the clock when the estimator opens the plan set and stop it when quantities are ready for pricing, then divide by the number of sheets. Count the time spent checking and correcting the software’s counts, since Quotr’s workflow has an estimator review every quantity.
Capture the baseline first:
- Pull the last 10 bids in one trade, such as electrical rough-in or drywall.
- Record the takeoff hours for each from timesheets, or have the estimator reconstruct them.
- Record the sheet count for each bid.
During a pilot, run the next 10 bids in that trade through Quotr and log the same hours per sheet. On two of those bids, recount a sample of symbols by hand and write down how many the software missed or counted twice. A 10-bid pilot will likely run past the 7-day free trial, so budget at least one paid month of a Lite seat.
A first step this week is to time the takeoff on the next bid that comes in and divide by its sheet count.
Availability and cost
Quotr sells the software per seat. Lite costs $79.90 per seat per month and includes a basic AI agent, on-screen takeoff, symbol and area detection and a custom cost database. Plus costs $299.90 per seat per month and adds advanced AI, Quotr’s full cost database, two hours of guided onboarding, project sharing, 2,000 square feet of takeoff credits a month and 10% off procurement. Enterprise pricing is custom.
The managed estimating service is priced by area, at $0.25 per square foot under 50,000 square feet and $0.10 per square foot at 50,000 and above. Quotr’s pricing page says development cost estimates arrive in 3 to 4 business days. The procurement program is separate from the software and sources windows, doors, cabinetry, flooring and bath fixtures from more than 50 audited manufacturers in Foshan and Guangdong, China.