Maps operations can act on, built on layers everyone trusts.

Spatial data is only useful when its layers agree with each other. We establish authoritative layers, reconcile them reliably, and turn them into routing, tracing, and risk tools that field and planning teams use every day.

Talk to usSee what it solves

What geospatial & gis solves

The questions that bring people to us for this work, what is usually behind them, and what we do about it.

  • “Why don’t our layers line up?”

    The problem

    Parcels, networks, and rights-of-way come from different vendors and systems, with different projections and no owner.

    How we solve it

    Authoritative layers with named stewards, refresh schedules, and lineage, so joins across systems are reliable.

  • “Can we trust the result of this spatial join?”

    The problem

    ETL is rerun by hand, topology errors slip through, and nobody can reproduce last quarter’s map.

    How we solve it

    Reproducible spatial ETL with projection rules, topology checks, and quality metrics on every run.

  • “Which customers lose service if this main fails?”

    The problem

    Network questions are answered one request at a time by an analyst with a desktop GIS.

    How we solve it

    Network tracing, service areas, and suitability analysis delivered as versioned tools the whole organization can call.

Each answer rests on the same method. Here it is for geospatial & gis.

How we do it

Four steps, in order, with governance designed in from the first one.

  1. Establish authoritative layers

    Network models, parcels, rights-of-way, zoning, floodplains, and imagery footprints, each with a steward and a refresh cadence.

  2. Standardize the ETL

    Projection and datum policies, topology validation, and conflation that reconciles vendor and internal data.

  3. Build operational tools

    Drive-time and service areas, upstream and downstream tracing, line of sight, and suitability scoring, published as tools and APIs.

  4. Put it in the field

    ArcGIS or open-source web maps, vector tiles, and offline field workflows with sync and QA.

Data governance in this work

Location data reveals more than it seems to.

  • Feature-level security and area-of-interest filtering, so each role sees only what it should.
  • Redaction and generalization for sensitive locations before anything is published.
  • A spatial catalog with schema documentation, metadata, and a basemap policy.

What you get

  • A stewardship matrix and spatial catalog
  • Reproducible spatial ETL with quality scorecards
  • Operational analysis tools and services
  • Web and field maps
  • Governance and sharing policies

A method is only useful once it is running. Here is how it gets there.

Phase by phase, with a gate at each one

Each gate is agreed before its phase begins, so nothing moves forward on optimism.

  1. Inventory

    Current layers, owners, and systems, and the questions they need to answer.

    Gate: Authoritative layer plan agreed

  2. Standardize

    ETL, topology rules, and the spatial catalog for the priority layers.

    Gate: Quality scorecard passing

  3. Operationalize

    Analysis tools, services, and field maps in daily use.

    Gate: Teams working from the new layers

  4. Extend

    Imagery, AI detections, and further layers on the same foundation.

    Gate: Ongoing

How it runs

ArcGIS Pro, Enterprise, and Online, or open-source stacks on PostGIS, BigQuery GIS, or Snowflake.

Technical detail

Authoritative foundations

  • Stewardship matrix, update schedules, lineage, and provenance
  • Spatial catalog with schema docs, metadata, and basemap policy

Spatial ETL & standards

  • Coordinate reference system and vertical datum policies
  • Topology validators and auto-fixers for overlaps, gaps, and self-intersections
  • Conflation using fuzzy geometry matching and network snapping

Operational spatial methods

  • Isochrones, travel sheds, and impedance surfaces
  • Upstream and downstream tracing, isolation, pressure and circuit analytics
  • Weighted suitability, constraints, and scenario comparison

Utility GIS

  • Asset mapping for transmission, distribution, mains, and services
  • Outage management with real-time visualization
  • Field mobility with offline sync
  • Vegetation management from satellite and LiDAR

Platforms

  • BigQuery GIS, PostGIS, and Snowflake GEOGRAPHY for large spatial joins
  • Vector tile and feature services, portal items, and sharing policies
  • Field Maps and Survey123 offline, sync, and QA policies
  • Row and feature-level security, area-of-interest filtering, redaction

Tell us which spatial question takes too long to answer.

We will show you which layers it depends on, and what it takes to answer it in minutes.

Talk to us

What we build