Commercial landscape bidding · US & Canada · Beta
Read the RFP. Map the site. Build the estimate. Package the bid.
Quoterra is the AI engine for commercial landscape bidding. It automates RFP extraction, AI site mapping (boundaries + landscape objects), estimate building via an AI control plane, and help generating the final bid package to submit. So estimating desks bid faster, cleaner, and with stronger margin discipline.
Broken workflow
Landscape bids are still pieced together from disconnected files
Estimators lose days moving between RFP PDFs, map takeoffs, spreadsheets, email threads, folders, and submission portals before they can price the work with confidence.
Quoterra does not ask you to rip out Aspire, LMN, SingleOps, or your measurement source of record. It owns the bid loop (RFP → map → estimate → package), so context stops getting retyped between tools.
Messy RFP packets. Scope, specs, and addenda hide across hundreds of pages.
Hand-traced takeoffs. Acreage, beds, trees, and zones get re-entered by hand.
Rebuild every estimate. Line items start from scratch instead of from RFP + site context.
Separate submission chase. Forms, certs, and obligations live outside the estimate.
Landscape bid desk, today
One project, many places to check
RFP packages
Scope, specs, addenda
Takeoff sheets
Areas, counts, pricing
Site maps
Parcels, acreage, zones
Email threads
Site walks, RFIs, dates
Cloud folders
Plans, certs, forms
Estimate files
Crew rates, margin checks
Work created
Site data cleanup
Risk introduced
Missed scope
What Quoterra does
One guided loop for commercial landscape bids
Quoterra is the AI engine for commercial landscape bidding. Rapid Extraction, AI Site Mapping, Estimator + AI control plane, and Bid Package help for submission. Built to work alongside the ops and takeoff tools you already run.
Bid memory, not file storage
Every requirement, quantity, and document stays connected
Documents
structured
Memory item 1Service areas
measured
Memory item 2Estimate logic
priced
Memory item 3Submission package
verified
Memory item 4Quoterra owns the bid loop (RFP → map → estimate → package), so context stops getting retyped between tools.
Checkpoint 1You approve critical gates before AI moves work forward.
Checkpoint 2Built to work alongside Aspire, LMN, SingleOps, and existing takeoff sources of record, not as a day-one suite rip-and-replace.
Checkpoint 3Before Quoterra
RFP PDFs
hundreds of pages
Addenda
late requirement changes
Submission forms
versions and signatures
GIS takeoff tools
grass, trees, shrubs
Estimate spreadsheets
quantities and margins
Email threads
questions and deadlines
Compliance folders
certs and policies
Quoterra RFP-to-bid workspace
City Parks Landscape Maintenance Bid
Rapid Extraction
AI parses commercial and municipal RFP packets for scope, quantities, requirements, forms, and risks, tied back to source pages for review.
AI Site Mapping
AI-driven GIS with auto boundaries and detection of grass, trees, shrubs, hardscape, and irrigation zones. Estimators approve before quantities lock.
Estimator + AI control plane
Measured quantities and RFP context flow into editable line items; the control plane suggests and fills details your team still owns.
Bid Package
Help generate the final bid package for submission, including forms inventory, supporting docs, markups, and compliance checks tied to the bid.
Human approval gates
You stay in control on critical gates (parsed text, geocodes, boundaries, and estimate lock) before work moves forward.
After Quoterra
RFP extraction
source-linked
Site quantities
approved
Estimate assist
control plane
Bid package
submission-ready
Bid context stays connected from intake to package.
Extracted requirements, mapped service areas, estimate line items, and package tasks stay tied to the bid they support, with human approval on critical gates.
How it works
Four steps. Your judgment at every gate.
247 pages
For the estimating desk
Stop hunting scope. Start shipping packages.
Built for estimators and bid managers who live in messy RFP packets and need a measurement-backed path to a real package draft.
Cut the time from messy RFP PDF to measurement-backed estimate
Keep source links beside extracted requirements
Carry site quantities into the estimate without spreadsheet retyping
Leave the pilot with a package draft tied to a real bid, not a sandbox tour
Success signal
First meaningful estimate + package draft from a live RFP in the pilot window.
For owners & principals
Grow bid capacity without growing the estimating department first
Estimating is the bottleneck on growth. Quoterra helps mid-market commercial landscapers pursue more profitable work with the same office staff, without a bloated all-suite implementation or software that taxes your revenue as you win.
Bring your estimating lead
More qualified pursuits per season
Faster packet → map → estimate → package cycle
More consistent estimates
Shared control-plane assist + human approval gates
Predictable software conversation
Beta via sales; Hybrid tiers intended at GA, not % of revenue
Positioning
What Quoterra is (and is not)
AI engine for commercial landscape bidding
A horizontal RFP answer library
RFP → AI site map → estimate → bid package in one narrative
Another takeoff-only map tool
Built to work alongside Aspire / LMN / SingleOps and existing takeoff SoRs
A day-one replacement for your full ops / CRM / e-sign suite
Assistive Bid Package help for submission
A generic document e-sign product
Trust & control
You stay in control. AI does the heavy lifting.
Customer proof and quantified ROI land here when pilot stories are approved. Until then, lead with workflow clarity, not invented win rates.
Human approval gates
Human approval on critical gates (parsed text, geocodes, boundaries, estimate lock)
Source-linked requirements, confirm before numbers move
Bid context stays connected from intake to package
Sales-guided beta: talk to us about a pilot on a live RFP
FAQ
Frequently asked questions
Spend less time stitching files. More time pricing the work that matters.
Bring your next commercial landscape RFP. We'll walk Extract → Map → Estimate → Bid Package on a real package, not a slide deck.