Why settle for alarms when you can have answers?

Traditional systems just flash warnings, leaving your team to decode messy data and guess the next move.

Groundup.ai Changes The Game

Our agentic AI goes beyond detection, it thinks.

It learns your machines, understands context, and tells you exactly what to do next.

No More Guesswork, No More Unplanned Downtime.

The Old Way

Alarms & alerts with no context

Teams stuck deciphering raw data

Delayed fixes = more downtime

The Groundup.ai Way

Agentic AI that thinks, learns & acts

Contextual insights, not noise

Recommendations in real-time

Reduce maintenance costs
0 %
Improve equipment uptime
0 %
Extend asset lifespan by years
0 %

The World's First Agentic AI for Cognitive Maintenance

The Future is Cognitive: Stop reacting to equipment failures and start predicting them with Cognitive Maintenance, powered by the world’s first agentic AI for industrial uptime.

Scalable Deployment

From one machine to thousands, deploy effortlessly across your facilities.

AI-Driven Fault Detection

Identify hidden issues with 92% accuracy.

Real-Time Monitoring

24/7 equipment surveillance powered by smart IoT sensors.

Root Cause Analysis

Pinpoint problems fast and prescribe corrective actions instantly.

Our End-To-End Solution To Tackle Your Downtime Challenges

We handle the entire process, from installing sensors to delivering AI-powered insights,
so you can focus on running your business without interruptions.

Step 1

Install IoT Sensors on Machinery​
Deploy rugged, industrial-grade sensors on key equipment to capture real-time operational data.

Step 2

Seamless Data Collection
Sensors continuously stream data, no manual input required, ensuring accuracy and consistency.

Step 3

Automated AI Analysis
Our AI engine processes the data to detect patterns, anomalies, and early signs of failure.

Step 4

Real-Time Monitoring & Actionable Insights
Access live dashboards and alerts to make informed, preventive decisions, before issues escalate.

 

Step 3

Automated AI Analysis
Our AI engine processes the data to detect patterns, anomalies, and early signs of failure.

Step 4

Real-Time Monitoring & Actionable Insights
Access live dashboards and alerts to make informed, preventive decisions, before issues escalate.

 

Let’s Get Started

Prevent failures

Catch early warning signs before breakdowns happen with AI-powered anomaly detection.

Drive efficiency

Optimize maintenance workflows and resource usage with real-time insights.

Increase uptime

Keep your machines running longer with predictive alerts and smart diagnostics.

Read our Blog: Shaping the Future of Maintenance

Uncover ideas and expert advice for smarter maintenance operations.

Groundup.ai, a fast-growing leader in AI-powered industrial reliability in Asia and the Middle East, today announced the official launch of the World’s First Agentic AI for Cognitive Maintenance at the Industrial Transformation Asia-Pacific (ITAP) event in Singapore. This breakthrough technology is designed to help asset-heavy industries eliminate unplanned downtime, cut maintenance costs, unlock new levels of operational resilience, and achieve sustainability goals.
When you walk into a modern factory today, things look very different compared to a few decades ago. The machines take care of small tasks, robots work on putting pieces together, and computers keep track of the whole system. This is what we call manufacturing automation. For business owners and even for those who are just interested, it offers a clear advantage.
In today’s fast-paced world, downtime is expensive. Every minute your machines are idle, your business could lose money. This is where AI comes in. AI-powered predictive maintenance is transforming industries. It helps stop failures before they happen and keeps your processes running well. In this blog, you will discover what predictive maintenance is, how AI makes it smarter, and why your business should try it today.
If you’re in the car industry, you understand that checking quality is key. Even one small flaw can lead to big trouble for your brand and buyers. This is where AI helps. Artificial intelligence helps automotive companies catch problems quickly, reduce errors, and improve overall production.  In this blog, we will explore four practical use cases of AI in quality control for automotive production. These are real-world examples you can relate to and even consider implementing in your process.