Case Study: nybl achieves safer, more efficient asset inspections with IBM Maximo and watsonx.governance

Safer, more efficient asset inspections with the help of AI

nybl, an AI technology company focused on industrial reliability, was looking for a safer, more efficient way to inspect critical assets and reduce the costs and risks of manual inspections in remote or hazardous environments. To meet this challenge, nybl partnered with IBM and used IBM Maximo Visual Inspection and IBM watsonx.governance within its n.vision platform.

IBM helped nybl automate asset inspections with computer vision and governed AI, improving fault detection, transparency, and compliance across critical industries. The results included a 50% reduction in inspection costs, a 30% decrease in inspection time, a 20% drop in outage and emergency repair costs, a reduction in safety incidents, and a 20% improvement in grid uptime.

nybl

Noor Alnahhas

Co-founder and CEO