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EndorsedendorsedOngoing

Web-Based 3D Point-Cloud Mapping App

Services Covered:

Website Development • GIS Solutions
Project hero — replace with case study imagery
Industry
Industry

Energy & Natural Resources

Duration
Durationinfo-circle

9 months

Budget
Budget

Confidential

Start Date
Start Date

1 August 2018

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable Imaginary Cloud is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

mapSan Francisco, United States of America

Project Summary

Imaginary Cloud rebuilt and completed a web-based mapping application that renders multi-terabyte 3D point clouds in the browser and integrates with Google Maps and a Global Information System. The vendor rewrote the initial prototype, implemented front- and back-end development (Node.js server, React frontend) and built advanced data structures to enable filtering and AR-layering of map data. Customers praised the solution and the team’s ability to work with emerging technologies.

Key Challenges

  • Turn an MVP/prototype into a completed, production-ready web application
  • Render detailed, multi-terabyte 3D industrial maps in a web browser
  • Integrate mapping and GIS systems to support AR-layered views and filtering

Project Deliverables

  • Web-based point-cloud renderer for multi-terabyte datasets
  • Google Maps integration for map views
  • Global Information System (GIS) integration for geo-spatial views
  • Backend Node.js server and React frontend
  • Advanced data structures and filtering functionality

Project Solution

Imaginary Cloud rewrote the initial prototype and performed full front-end and back-end design and development. They implemented a Node.js server and a React frontend, rendered point clouds in the browser using WebGL-based rendering, integrated with Google Maps and a Global Information System for geo-spatial views, and built advanced data structures and filtering to support AR-layered map visualizations. The database was hosted on Google App Engine.

Project Outcome

  • Customers were impressed and "blown away" by the delivered solution
  • Delivered a high-quality solution using cutting-edge technologies
  • Established a reliable process that reduced the need for frequent client check-ins

Platforms

  • WebWeb

Tech Stack

  • Node.jsNode.js
  • React.jsReact.js
  • Google App EngineGoogle App Engine

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Customers have praised the solution. The team’s expertise and tenacity have resulted in the ability to work with emerging technology such as quasi-AR. They have a responsive working style, welcoming collaboration with stakeholders. Their insights have added value.”

Anonymous

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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