GIS Consulting

Start your GIS project with a sample, screenshot, or call

Choose the closest workflow, send the rough context, and we will turn it into a scoped path for a map, report, imagery review, field workflow, automation, or annotation project.

Geospatial Solutions LLC Washington, DC Operating since 2018 35+ clients
Route the workBring imperfect inputsGet a next-step packet
css-intake-reveal

Project intake from rough context to scoped build path

You do not need the perfect spec. Start with the location problem and nearest workflow.
Buyer fitSearch intentintake router
The status quo

Why teams hire us

What we deliver

Services

35+clients

Government, business, infrastructure since 2018

GIS Consulting

Spatial architecture, ArcGIS automation, and production GIS engineering for organizations that run on location data.

02

Data Annotation

Reviewer-ready labels for road assets, signs, pavement, and infrastructure — schema-ready for QGIS, ArcGIS, GeoJSON, COCO, KITTI.

03

Remote Sensing & Drone Mapping

Satellite, drone, and aerial imagery analysis for monitoring, change detection, and asset extraction.

04

Web Mapping

Custom Mapbox, Leaflet, and Google Maps builds for site screening, routing, imagery review, and field workflows.

05

Data Analytics

Python and GIS analysis pipelines that turn spatial data into ranked tables, exports, and dashboards.

06

Custom Solutions

Build out a tool, integration, or pipeline that doesn't exist in any off-the-shelf GIS product.

Proof-led positioning

What this page needs to make obvious

GIS project scoping, geospatial consulting intake, and custom map project estimate.

01

Route the work

Map build, imagery review, field workflow, annotation, environmental report, litigation support, or automation.

02

Bring imperfect inputs

Screenshots, spreadsheets, sample imagery, routes, parcels, or a written manual process are enough to start.

03

Get a next-step packet

Scope, recommended stack, risks, proof artifact, budget range, and next decision.

Proof workflow

Input, review, evidence, output.

Modeled on the live Geospatial Solutions demos: the page should show what the buyer sends, what they review, what evidence stays visible, and what they receive.

01

Input

Sample files, screenshots, addresses, routes, imagery, forms, or workflow descriptions.

02

Review surface

We match the request to the closest proof surface and define what must change for your data, users, and decision.

03

Evidence

Fit notes, risks, data-readiness gaps, and recommended proof artifact are written down.

04

Output

Delivery plan, proof recommendation, booking path, or scoped build estimate.

Source and limits

Technical trust should stay visible.

Confidence

The first review produces a practical path, not a generic sales deck.

Caveat

Sensitive data can be discussed under NDA before transfer.

Source

Sample files, screenshots, addresses, routes, imagery, forms, or workflow descriptions.

QA boundary

Fit review, risk notes, data-readiness notes, and recommended proof artifact.

Export path

Delivery plan, proof recommendation, booking path, or scoped build estimate.

Before the first call

What you send · What you get

No vague discovery phase. You bring four or five things, we return a specific plan you can evaluate.

What you send
  • 1A representative slice of your data (any format)
  • 2A one-paragraph description of what you want to build
  • 3Systems it needs to integrate with
  • 4Deadline and budget range (rough is fine)
What you get back
  • 1Written delivery plan with scope, fixed price, and timeline in 48 hours
  • 2Honest fit assessment (we say no when we are not the right fit)
  • 3Pilot package option with deliverable to evaluate before full commit
  • 4Recommended stack with reasoning, not vendor preference
Deliverables

What you walk away with

How we work

A scoped path from sample data to running system

No open-ended retainers. No "discovery phases" that bill for months without producing anything you can evaluate.

  1. 01

    Discover

    You send a data sample and a target outcome. We return a written scope, fixed price, and pilot plan within 48 hours.

  2. 02

    Pilot

    A clickable web map or analysis run on a slice of your data — fixed fee, evaluable in under 2 weeks.

  3. 03

    Production

    Full build with documentation, runbooks, and source code transfer. Deployed on your infrastructure or ours.

  4. 04

    Handoff

    Recorded walkthroughs, training session with your team, and 30-day hardening period where we stay on call.

Live on geospatialsolutions.co

Click into the actual work

These open the real, interactive demos on our main site — not screenshots, not videos. Click around before you decide to talk to us.

Why teams trust us
Questions teams ask before they engage us

Common questions, answered honestly

What do you need from us before the scoping call?

Three things: a representative slice of your data (CSV, shapefile, or screenshot is fine), a one-paragraph description of what you want to build, and the names of the systems it needs to integrate with. We work from those.

How long is a typical scoping call?

30 minutes. We look at your data live, ask 5-10 clarifying questions, and return a written delivery plan with scope, fixed price, and timeline within 48 hours.

Do you sign NDAs before reviewing data?

Yes — standard mutual NDA before any data exchange. We work with sensitive municipal, environmental, and litigation data routinely and our process is built around chain-of-custody.

What if our project doesn't fit what you typically build?

We tell you. If you would be better served by another vendor or an in-house hire, we say so on the scoping call. We have referred work to other consultancies when the fit wasn't right.

More from Geospatial Solutions

Adjacent services your team may need

Book a free 30-minute scoping call

Bring a sample of your data. Leave with a plan.

Free, 30 minutes, no slide deck. We will look at your data live and tell you what is buildable, what is not, and what a realistic timeline looks like.

Submit project context