Customers & Case Studies

How teams put SpatialTechSolutions to work

Representative engagements that show how Plato GIS and Hydro GeoScientist turn spatial data into operational decisions — from groundwater monitoring to AI-assisted analysis and remote sensing.

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Monitor wells, inspections, sensors, water levels, pressure, and quality from the map.

2

Geospatial products in the portfolio

79+

Registered AI tools agents can call

8

Enterprise GIS, AI, and deployment services

100%

Browser-based — no desktop install

Case studies

Outcomes by workflow

These engagements are representative of the work SpatialTechSolutions delivers and the data the products are validated against. Named references are available on request.

Water AuthoritiesHydro GeoScientist

Centralizing groundwater monitoring for a regional water authority

Regional water authority (representative engagement)

Challenge: Water-level, EC, TDS, and pressure readings were spread across loggers, spreadsheets, and field notes, making it slow to spot anomalies or prepare regulatory reporting.

Approach: Consolidated well records and time-series data in the Data Hub, connected IoT logger imports, and put monitoring on a map-first dashboard with AI-assisted trend and anomaly review.

One place to review wells, readings, and well construction context
Faster anomaly triage with AI-assisted monitoring workflows
Report-ready outputs prepared directly from the map

Built and validated on publicly available Texas Water Development Board (TWDB) groundwater data.

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Government & UtilitiesPlato GIS

AI-assisted spatial analysis for an enterprise GIS team

Enterprise GIS team (representative engagement)

Challenge: Routine spatial questions — buffers, overlays, filtered views, map exports — created a backlog because only a few specialists could run them end to end.

Approach: Deployed Plato GIS as a browser-based workspace so analysts could ask for spatial work in plain English, with agents calling governed tools and every step reviewable.

Common analysis tasks moved from specialists to the wider team
Workflows stayed grounded in the map with auditable steps
Repeatable projects replaced one-off, hard-to-hand-off analysis
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EnvironmentPlato GIS

Remote sensing change detection for environmental review

Environmental monitoring program (representative engagement)

Challenge: Large areas of interest made manual imagery inspection slow, and imagery analysis lived in tools disconnected from the operational map.

Approach: Used Sentinel imagery, historical imagery, and change detection inside the same GIS workspace to focus review on areas where surface conditions actually changed.

Review effort focused on meaningful change, not whole AOIs
Imagery evidence kept beside operational layers
Clearer, faster spatial communication for decisions
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“We wanted GIS that our whole team could use, with AI that we could actually trust because we can see every step. That combination is hard to find.”

Representative evaluator feedback — enterprise GIS team

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