Asset Inspection with the help of AI
Posted: 2025-12-1
Source:
IBM
As part of a strategic partnership with IBM, nybl integrated n.vision, an AI-powered inspection platform, with the IBM® Maximo® Visual Inspection tool and the IBM watsonx.governance® solution, to further transform how industrial inspections are managed. The two companies conducted three pilots to validate the integration and demonstrate the impact of leveraging Maximo Visual Inspection and watsonx.governance within nybl’s n.vision platform.
With Maximo Visual Inspection, n.vision performs asset-based inspections that eliminate the need for manual access to hard-to-reach areas, which reduces safety risks, operational costs and overall inspection time. The solution uses computer vision to detect, classify and report faults with precision and speed across industries such as oil and gas, utilities, manufacturing, agriculture and healthcare.
With the help of watsonx.governance, nybl can provide full AI lifecycle transparency, monitor bias and drift, and manage compliance with evolving industry regulations. Together, these operational upgrades can help their clients achieve faster time to market, higher accuracy and more efficiency gains—while also enabling the responsible use of AI in mission-critical operations.
With IBM technology embedded in their n.vision platform, nybl has raised safety and efficiency standards for asset inspections across industries. For example, a national grid operator in the GCC launched an initial 1,000-kilometer pilot using n.vision to inspect high-voltage and medium-voltage lines. Following its success, the operator awarded nybl a contract to scale inspections across 400,000 kilometers of power infrastructure nationwide.
By automating asset-based inspections, nybl has seen a 50% reduction in both inspection costs and safety incidents. Other transformative outcomes include a 30% decrease in inspection time, a 20% reduction in outage and emergency repair costs, and a 20% increase in grid uptime. Automated fault detection and reporting, powered by computer vision, deliver the highest levels of accuracy and reliability, which help nybl’s clients act faster and smarter.
By partnering with IBM to combine advanced computer vision and AI governance, nybl has created a transparent, reliable and scalable solution to help improve asset performance. The company plans to continue their collaboration with IBM to drive operational excellence across critical industries.
About nybl
Founded in 2018, nybl is a science-based, physics-informed AI company headquartered in the United Arab Emirates, with offices in the Kingdom of Saudi Arabia and Qatar. Their purpose-built AI platforms and solutions—including n.vision, n.rotating, n.lift and n.shield—help critical industries improve safety, reliability and performance through automation and intelligent decision-making.
With Maximo Visual Inspection, n.vision performs asset-based inspections that eliminate the need for manual access to hard-to-reach areas, which reduces safety risks, operational costs and overall inspection time. The solution uses computer vision to detect, classify and report faults with precision and speed across industries such as oil and gas, utilities, manufacturing, agriculture and healthcare.
With the help of watsonx.governance, nybl can provide full AI lifecycle transparency, monitor bias and drift, and manage compliance with evolving industry regulations. Together, these operational upgrades can help their clients achieve faster time to market, higher accuracy and more efficiency gains—while also enabling the responsible use of AI in mission-critical operations.
With IBM technology embedded in their n.vision platform, nybl has raised safety and efficiency standards for asset inspections across industries. For example, a national grid operator in the GCC launched an initial 1,000-kilometer pilot using n.vision to inspect high-voltage and medium-voltage lines. Following its success, the operator awarded nybl a contract to scale inspections across 400,000 kilometers of power infrastructure nationwide.
By automating asset-based inspections, nybl has seen a 50% reduction in both inspection costs and safety incidents. Other transformative outcomes include a 30% decrease in inspection time, a 20% reduction in outage and emergency repair costs, and a 20% increase in grid uptime. Automated fault detection and reporting, powered by computer vision, deliver the highest levels of accuracy and reliability, which help nybl’s clients act faster and smarter.
By partnering with IBM to combine advanced computer vision and AI governance, nybl has created a transparent, reliable and scalable solution to help improve asset performance. The company plans to continue their collaboration with IBM to drive operational excellence across critical industries.
About nybl
Founded in 2018, nybl is a science-based, physics-informed AI company headquartered in the United Arab Emirates, with offices in the Kingdom of Saudi Arabia and Qatar. Their purpose-built AI platforms and solutions—including n.vision, n.rotating, n.lift and n.shield—help critical industries improve safety, reliability and performance through automation and intelligent decision-making.
