Case Studies
We work with forward-thinking businesses
to create new digital platforms, products and services.

Local & State Government

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Using open data, mapping, and dynamic visualization for accelerating climate risk analysis.

The Vizonomy Climate Risk PlatformTM puts US Government data in your hands. Search +70 data layers from Open Street Map, import your local data, analyze economic losses by scenario, develop real-time weather alerts and create dynamic hazard risk assessment for your community. Whether you’re a government official in planning, transportation, emergency response, or sustainability, our data and platform can help.

Built on Open Source, the platform includes the following technologies: MongoDB for admin control; Carto, GeoServer, PostgreSQL, and PostGIS for spatial data hosting and visualization; Mapbox for the basemap; d3.js for dynamic graphics and charts; Node.js, Angular, and HTML/CSS for the web framework. See video demo.

The World Wildlife Fund

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Collecting location, video, photo, and form data across any device for international development.

WWF worked with Vizonomy to develop a way to collect local stories on how extreme weather events - such as flooding, extreme heat, and rising sea levels - are affecting developing communities across the world. Volunteers from USAID, the Red Cross among others use the public site and submit their “Stories” via a mobile device. Once the form is submitted, WWF staff from Washington DC are then able to approve or edit the them prior to public viewing.


All data is stored using open source solutions. All mapping data containing each story’s exact location is stored in CARTO meanwhile all video, photo, and text information is held in a MongoDB database. Users may also access raw data via the Data Archive to preview stories or export them to PDF or CSV as needed. Click here to see the project live.

The World Bank Group

Spatial Analysis for a Changing World.

Leveraging powerful open source libraries for analyzing and forecasting infrastructure growth.

The infra-disaggregation tool, built on open source python-based libraries, deploys a hybrid approach to model the distribution of non-building infrastructure values on a 30 arc-second grid. Open source geospatial libraries – such as Shapely, Fiona, and GDAL – are used for raster/image processing. It is currently available on Windows computers only. The result of this tool is an extrapolation of infrastructure growth used by the Bank to determine where to best allocate capital investments.

See our work with the World Bank

Pfizer Inc.

Location Intelligence to detect spatial trends
across pharmaceutical drug trials.

Pfizer needed to answer the following: How many clinical studies are conducted in each country and state? Vizonomy developed a web-based tool that not only answered this question, but also allowed the client to see who led the study, review that person’s professional history, compare basic statistics across countries, and export the results to PDF and CSV. The result is an easy-to-use web interface used by our client’s thousand-plus workforce in offices worldwide.

Two versions of this application were built: the first using, CARTO, for a quick prototype; while the second version, built on GeoServer, enabled Vizonomy to develop an on-premise solution inside our client's corporate infrastructure.

This project illustrates Vizonomy’s ability to prototype, build, and deploy web-based solutions across any market and inside any corporate environment.

Read more about our project with Pfizer

Li & Fung Limited

Visualize historical patterns. Understand global ship movement & supply chains.

Sometimes our clients don't have the data to fully render their visulization. Such was the case with Li & Fung, whose intent was to visualize their ship movement in 2017, but without having the actual ship coordinates between each port. Vizonomy subsequently purchased ship traffic data (from a third-party) and used those routes as proxies for the interested trips.


Built on CARTO, the animation seen here displays more than 3 million points within 90 seconds, illustrating the power underlying CARTO's spatial engine. Those point may then be filtered based on various attributes, including shipment type, port-of-entry/destination, and vessel type.

See our other projects here
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