By Jagadish Gattu, CEO of UptimeAI
This article first appeared on LinkedIn.
Verdantix biennial Green Quadrant for Asset Performance Management (APM) was recently released, and this version was different. AI was no longer treated as a singular capability but woven into the thread of every evaluation criteria. As the newest company in a market dominated by incumbents we saw this as an advantage. Being born in the age of AI means our AI products were built that way from the ground up, not sprinkled on top of decades old technology. This advantage was reflected in various capability scores, and also the overarching narrative of the report.
The No. 1 Score in Market Vision & Business Strategy
The momentum (x) axis in a Green Quadrant correlates strongly to the size of the business and dominance in the marketplace, which can be a big advantage for legacy companies, who have had decades to grow sales and following to where they are today. For newer companies, the place to shine amidst the momentum criteria is less about where you’ve been and more about where you’re going.
When I saw that UptimeAI had been awarded the highest score in the field for Market Vision & Business Strategy (a 2.9 on a 3.0 scale), I was not surprised. In my article on closing the gap between insight and execution, I discussed the #1 takeaway from the 2025 Verdantix Asset Management Council. The 13 asset management leaders from major energy and industrial companies came together and deduced that:
Industrial agility – the ability to rapidly adapt operations, processes and workforce focus – is becoming increasingly relevant because of macroeconomic pressure and increasing dislocation. Improving agility by closing the gap between insight and execution will be the key to enhancing operational excellence amidst reskilling, data-fragmentation and scaling challenges. – Verdantix 2025 Asset Management Council
This was a recurring theme in the 2026 Green Quadrant, and a common strength amongst the companies that scored highest in vision and strategy.
Agentic AI is transforming APM from insights-driven to action-oriented
Past definitions of APM held up predictive analytics capabilities as the gold standard for uncovering insights hidden in untapped data. But today, the data’s been tapped, the insights are piling up, yet the outcomes still lag. It turns out it was never a shortage of insights limiting our industry’s margins. It is the shortage of expert decisions that drive actions and the subsequent outcomes that we’ve been limited by.
In talks at CERAWeek and other events, I’ve described the expert decision bottleneck that’s costing industrial organizations millions every year. Predictive analytics stops at the point of detection, awaiting expert interpretation to arrive at a decision. The amount of time spent between uncovering an insight and getting to an optimal decision is the decision latency created by the expert bottleneck. Decision latency costs organizations millions in failures, repairs, unplanned downtime, and excessive preventative maintenance. Overcoming that expert bottleneck is the key to creating an APM program that delivers real margin impact.
UptimeAI takes an agent-first approach, applying AI to emulate key maintenance workflows such as optimization and root-cause analysis. It continuously evaluates operating conditions, asset criticality, failure mode and effects analysis (FMEA), work orders and equipment documentation to identify underlying failure drivers, optimize maintenance strategies and recommend actions, with transparent reasoning behind each decision. This shift towards agentic AI also raises the bar for incumbents: success is increasingly dependent on either innovating quickly or forming partnerships to effectively leverage agents. – 2026 Verdantix Green Quadrant: APM
When the decision gap closes, results compound
One of the strengths of the Verdantix research process is their use of customer interviews to validate market presence and product capabilities. Speaking with UptimeAI customers, Verdantix verified maintenance time savings of 70 hours per month and annual reliability + performance savings of $10M per year at a single coal plant for one of India’s top 5 largest power generation companies. In a second interview with a top 10 US cement manufacturer, Verdantix confirmed $500k savings and 24h of avoided kiln downtime from the early diagnosis and mitigation of a single anomaly event.
When the gap between insights and actionable decisions collapses, margin growth accelerates. UptimeAI has delivered repeatable results across global industry leading organizations in oil and gas, cement, chemicals, and power generation.
The most forward-looking industrial organizations are already making the shift — and UptimeAI is making it possible.
