Case Study: Abyss Solutions scales critical infrastructure inspections with V7 Labs

Abyss Solutions scales to 100-person datasets and labels 2TB+ with V7 Labs

Abyss Solutions, an autonomous systems company, faced the challenge of performing costly, dangerous, and time-consuming manual inspections for critical infrastructure like oil fields and power plants. To advance their development of AI-powered unmanned inspection systems, they turned to V7 Labs and its V7 Darwin platform for data labeling.

By using V7 to manage and label terabytes of complex 2D/3D, thermal, and laser scan data, Abyss Solutions scaled their annotation process and accelerated model deployment. The results were significant, with V7 enabling their data engineering team to grow from 2 to 100 people. V7 Labs helped Abyss handle larger datasets, collaborate with big teams, and bring more than five new data types into their workflow, solidifying their position as a world-class inspection robotics company.

Abyss Solutions