Product pillars · RFP → map → estimate → package

Everything you need for the commercial landscape bid loop

Rapid Extraction, AI Site Mapping, Estimator + AI control plane, and Bid Package help, in one guided workspace for commercial landscapers. Built to run beside the ops and takeoff tools you already trust, not as a day-one stack replacement.

Rapid Extraction

AI reads hundreds of pages so your team does not have to.

Quoterra turns large commercial and municipal RFP packages into structured requirements your team can verify, search, and carry across the bid.

Never miss a requirement

Insurance, bonding, warranty, payment terms, safety, eligibility, service scope, and the rest of the requirement categories (including Quoterra's 17-category model) organized for review.

Review the source beside the answer

Parsed text stays tied to PDF context so estimators confirm obligations before work moves forward.

Search the full proposal package

Find deadlines, addenda, forms, or qualifications without rereading the packet.

Approve input before extraction locks

Human verification of parsed text keeps bad reads from becoming bad bid data.

RFP requirement extraction

Live
RFP Package

Insurance

Source page linked for human verification.

Bonding

Source page linked for human verification.

Service scope

Source page linked for human verification.

Submission forms

Source page linked for human verification.

Semantic search is ready across the proposal package.

AI Site Mapping

Measure with AI, then approve before quantities lock.

Addresses from the RFP become mapped service areas. AI Site Mapping supports auto boundaries and detection of grass, trees, shrubs, hardscape, and irrigation zones, so quantities start from site evidence, not hand-tracing alone.

Find project sites from the RFP

Auto-geocoding turns extracted addresses into map placements ready for review.

Draw defensible service boundaries

Mark property limits, road segments, and work zones before measurement runs.

Segment landscape assets

Satellite AI labels grass, trees, shrubs (and related landscape objects) from visual evidence.

Approve areas before measurement

Segmentation waits on boundary approval so quality stays under human control.

Approved service area map

Live
Geocoded from RFP address
Grass 82,400 sq ftTrees 47Shrubs 180

Estimator + AI control plane

Quantities flow from the map into the estimate.

Measured service areas become editable line items with activity logic, totals, and margin context in the same workspace. The AI control plane suggests and fills line-item detail from RFP context + mapped quantities. Your team still owns the numbers.

Price each service area

Line items stay connected to mapped zones, quantities, and services the bid requires.

Use a consistent activity catalog

Common maintenance work priced from shared activities instead of rebuilt in spreadsheets.

See margin while decisions are made

Live totals and margin summaries before the bid is finalized.

Lock the estimate milestone

Finalize when ready, then carry the same bid context into Bid Package work.

Estimate from measured quantities

Live
AreaActivityQuantityTotal
North campusMowing82,400 sq ft$6,592
Main entryShrub care180$2,160
Road edgeTree care47$2,115

Margin 28%

Cost $7,911

Bid $10,867

Bid Package

Help generate the final bid package for submission.

Forms, markups, company documents, and package export stay connected to the requirements that created them. Quoterra helps assemble a submission-ready package. It is not a full FSM e-sign, CRM, or crew-ops suite.

Detect required forms

AI builds a submission inventory from the RFP so nothing surfaces only at the deadline.

Mark up PDFs in the browser

Fill, annotate, and save submission forms in-context without juggling extra folders.

Fill repeated fields faster

AI-assisted form fill reuses extracted bid and company data.

Export a verified package

Generate a package and check forms against company documents before portal upload.

Submission package assembly

Live
Bid form
Insurance certificate
Bonding letter
Site map
Pricing schedule

Submission ZIP

Verified package ready for upload

AI control plane

You stay in control. AI does the heavy lifting.

The control plane combines proposal-aware chat with a guided workflow, clear checkpoints, and the bid context needed to act, from document review through extraction, mapping, estimation, verification, and package prep.

Follow the guided workflow

Structured steps from packet intake to package.

Approve critical gates

Parsed-text review, entity selection, geocode validation, and area approval keep judgment with your team.

Chat with proposal context

Ask about requirements, forms, or estimate updates from one panel.

Qualify against company knowledge

Uploaded company documents help check fit and connect requirements to internal evidence.

Proposal-aware Control Panel

Live

Workflow banner

Step 06 of 10 · Review and validate geocodes

AI

Step 6 is ready: validate geocoded service areas.

User

Show unresolved placements before segmentation.

AI

Two addresses need review. I linked each to the RFP source page.

Approval checkpoint

Company knowledge

Guided workflow

Five chapters in one bid story

01

Review documents

Upload the RFP package, verify parsed text, choose categories to extract.

Human approval

02

Map the work

Extract addresses, place sites, confirm geocodes.

Human approval

03

Measure service areas

Approve boundaries; segment grass, trees, shrubs, related zones.

Human approval

04

Price the bid

Quantities → line items; control plane assist; review totals and margin.

Estimator review

05

Package for submission

Forms inventory, company docs, markups, export verified package.

Final check

Human in the loop

You stay in control. AI does the heavy lifting.

Quoterra prepares the work and carries bid context forward. Your estimating desk keeps judgment. Approve critical gates on parsed text, geocodes, boundaries, and estimate lock before work moves on.

What Quoterra is not

Not another disconnected point solution, and not a rip-and-replace suite

Coexist by default. Keep Aspire, LMN, SingleOps, or your takeoff source of record when they are already in place. Quoterra owns continuity: Extract → Map → Estimate → Bid Package.

Alternative

Generic AI document tools

Answer questions about files, then leave the team to rebuild the workflow elsewhere.

Turns RFP content into requirements → map → estimate → Bid Package tasks.

Takeoff / GIS point tools

Measure the site without owning the RFP packet → estimate → package loop.

Connects approved service areas to bid requirements and estimate line items. Can sit beside your measurement source of record.

Landscape ops / estimating suites

Strong desk-of-record for ops, catalog pricing, and proposals.

Quoterra is the AI bid front-end. Hand off into the suite. Do not expect full e-sign, CRM, or crew-ops parity on day one.

Estimator spreadsheets

Manual quantity transfer, version drift, and disconnected margin review.

Keeps measured quantities, activity pricing, totals, and milestones in one workspace.

Manual submission checklists

Forms tracked after the bid is already scattered.

Builds form inventory from the RFP and verifies the package before export.

Faster RFP review

Requirement lookup and packet structuring in minutes, not day-long hunts.

Fewer missed obligations

Forms, insurance, bonding, and scope stay visible and source-linked.

Cleaner pricing context

Measurements and estimate decisions share the same bid record.

Capacity without losing control

Repetitive work is absorbed. Approval gates stay with your team.

See the four pillars on your next commercial landscape RFP

Request a demo. We'll walk Rapid Extraction → AI Site Mapping → Estimator + AI control plane → Bid Package on a live package. Sales-guided beta, US & Canada.