Case Study: Abyss Solutions accelerates critical infrastructure inspections with V7 Darwin

Abyss Solutions scales annotation for 100+ engineers and 2TB+ of data with V7

Abyss Solutions, an autonomous systems company, faced the challenge of manually inspecting critical infrastructure like oil fields and power plants. These inspections were costly, time-consuming, and dangerous. To replace these manual processes, Abyss needed to build AI-powered remote inspection systems, which required efficiently labeling terabytes of complex data including 2D/3D imagery and thermal data.

Using V7 Darwin, Abyss Solutions scaled their data annotation process to manage this large volume of data and collaborate with a team that grew to over 100 people. The solution enabled them to deploy ML models faster and begin working on new projects with more than five new data types. V7 was a key factor in helping Abyss's data engineering team grow from just 2 people, significantly advancing their mission to become a world-class player in inspection robotics.

Abyss Solutions