Case Study: Abyss Solutions scales infrastructure inspections with V7 Darwin

How Abyss Uses V7 to Advance Critical Infrastructure Inspections

Abyss Solutions, an autonomous systems company, faced the challenge of manually inspecting critical infrastructure like oil fields and power plants. These manual inspections were costly, time-consuming, and dangerous for their personnel. To replace this process, they needed to train AI models to detect defects but required a robust data annotation solution to handle their complex 2D, 3D, and thermal data.

By implementing V7 Darwin, Abyss Solutions was able to scale their data labeling process, efficiently manage terabytes of inspection data, and deploy their machine learning models faster. The V7 platform enabled large-scale team collaboration and provided advanced features like auto-segmentation. This supported Abyss's rapid growth, helping their engineering team expand from 2 to over 100 people and allowing them to take on more than five new data types in a year.

Abyss Solutions

Suchet Bargoti

Chief Technology Officer