Groundup.ai has officially launched what it claims as the world’s first Agentic AI for Cognitive Maintenance at the Industrial Transformation Asia-Pacific (ITAP) event in Singapore.
This groundbreaking technology aims to help asset-heavy industries eliminate unplanned downtime, reduce maintenance costs, enhance operational resilience, and meet sustainability goals.
Unlike traditional predictive maintenance systems, which only forecast potential equipment failures, Groundup.ai's Cognitive Maintenance technology takes a significant leap forward. It not only identifies what is wrong with the machinery but also explains why it is happening and offers actionable solutions to fix the issues.
By embedding Agentic AI into the maintenance process, the solution empowers machines to become self-learning agents, capable of diagnosing root causes, learning from the actions of maintenance crews, and continuously improving based on outcomes.
“This is a reinvention of maintenance,” stated Leon Lim, CEO & founder of Groundup.ai. “We're not just predicting problems; we've built a system with agentic AI that acts as a virtual machine expert, providing proactive guidance."
Leon Lim
"By utilising and rearranging data from various streams, our platform delivers insights that drive a clear return on investment. This allows businesses to scale their operations and reliability strategies with zero false alarms and faster interventions.” Leon Lim
Groundup.ai's Cognitive Maintenance solution is already trusted by prominent organisations across various sectors, including:
The Republic of Singapore Navy – enhancing defence readiness through smarter vessel reliability.
Coca-Cola Bottling Saudi Arabia – achieving measurable ROI in production line efficiency.
Hamad International Airport – boosting uptime across critical infrastructure.
Doha Metro – ensuring uninterrupted rail operations.
By integrating diverse data streams, autonomous AI agents, and deep domain expertise, Groundup.ai is transforming maintenance into a sustainability-driven circular economy. The solution empowers asset operators to predict failures, guide precise repairs, extend asset lifespan, and reduce waste and energy consumption, ultimately saving both money and resources.
With the asset-intensive manufacturing sector losing an estimated $50 billion globally each year due to unplanned downtime, Groundup.ai’s solution tackles this challenge by creating an intelligent and adaptive maintenance ecosystem where machines do more than just generate data; they generate decisions.
