GeoAI consulting

Consulting

Four offers, each built around a decision

Pick the one closest to your problem, or book a call and we will help you choose. Every engagement ends with something your team can keep using.

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Offer 1

GeoAI projects

You have a question that lives on a map: where will this happen, what changed, which sites qualify. We turn it into a scoped machine-learning project with a measurable result.

What you get

  • The question reframed as something a model can answer, with a success measure agreed up front
  • A data audit: what you have, what is missing, and what is worth collecting
  • A trained and validated model, with accuracy reported against held-out ground truth

Typical deliverables

  • Problem framing and data audit memo
  • Working model or prototype with a validation report
  • Reproducible pipeline and documentation
  • Handover session for your analysts

Best for: Teams with spatial data and a decision that still gets made by eye.

Offer 2

Utility network analytics

Networks are graphs laid over geography. We combine asset records, topology and environmental context to find what is broken in the data and what is likely to break in the field.

What you get

  • Network records checked for connectivity and topology errors before any modelling starts
  • Risk and priority scoring that blends asset attributes with terrain, land cover and exposure
  • Analysis your engineers can interrogate, not a black-box ranking

Typical deliverables

  • Network data quality report
  • Condition and risk scoring method, documented
  • Prioritised asset list with the reasoning behind each score
  • Maps and tables ready for planning meetings

Best for: Water, power, gas and telecom operators and the consultants who support them.

Offer 3

Imagery AI

Imagery is the richest spatial dataset most organisations are not using. We build the pipelines that turn it into layers you can put in a GIS, and tell you how far to trust them.

What you get

  • Imagery sourced and prepared for the question: sensor choice, cloud handling, time windows
  • Land-cover, change-detection or object-detection layers in formats your GIS already reads
  • An accuracy assessment per class, so weak spots are visible rather than averaged away

Typical deliverables

  • Classified or detected map layers (GeoTIFF, GeoPackage or similar)
  • Accuracy assessment and known-limitations note
  • Google Earth Engine or Python workflow you can rerun
  • Short methods write-up for stakeholders and reviewers

Best for: Agriculture, forestry, planning and energy teams who need repeatable monitoring.

Offer 4

Dashboards

A model nobody opens does not change a decision. We build the interface: focused maps, filters and summaries designed around the people who have to act on the result.

What you get

  • A dashboard scoped around three or four real decisions, not every available layer
  • Results that update when the underlying data does
  • Views for different audiences: field teams, managers, leadership

Typical deliverables

  • Interactive web map and dashboard
  • Data refresh process, documented
  • User walkthrough for the team that will own it
  • Source and hosting notes so you are not locked in

Best for: Anyone whose analysis currently ends as a static PDF or a slide.

Engagement shape

Pilot first, retainer if it earns it

Scope, price and timeline for a pilot are agreed on the first call, before any work starts.

  1. 1

    Discovery call

    We listen to the question, look at the data you have and tell you honestly whether GeoAI is the right tool.

  2. 2

    Pilot

    A fixed-scope project on one real question. You get a working result, a validation report and a clear view of what scaling it would take.

  3. 3

    Retainer

    If the pilot earns it, we keep models, pipelines and dashboards current, and take on the next question as it comes up.

Want your own team to run the analysis afterwards? The Academy trains analysts on the same methods.

Tell us the question that lives on a map.

A short call is enough to tell whether GeoAI can help, and what a pilot would look like.

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