Robotic pipe inspection data platform for a robotics company

Industrial inspections generate large volumes of data, but without the right system, that data remains fragmented and difficult to act on.

ARIX, a company specializing in robotic pipe corrosion inspections, needed a platform that could turn raw inspection data into clear, decision-ready insight.

ARIX develops robots that crawl pipes in industrial facilities providing quick and thorough data on pipe inspection. Their need was to build a system that converts that data into a platform for making business decisions.

We developed a web application that acts as a central hub for inspection data. The system:

• Collects and processes data from robotic inspections
• Maps facilities, pipes, and junctions
• Maintains a full history of inspections and maintenance

This creates a complete and traceable view of asset condition.

Instead of manually interpreting scattered data, users can:

• Understand infrastructure health at a glance
• Track changes over time
• Plan maintenance with confidence

This transforms inspection workflows from reactive analysis into proactive, data-driven decision-making.

The platform was built using Angular, Node.js, and PostgreSQL, ensuring a stable, scalable system capable of handling complex datasets.

In industrial environments, reliability is critical. The system was designed to deliver predictable behavior, clear data structures, and long-term maintainability.