We help companies with predictive maintenance and smart sensor technology to reduce downtime, improve productivity, and extend asset life. We bring clarity and control to your industrial operations from IoT sensors to AI-driven insights.
hours of machine
monitoring
types of machines
monitored
hours of downtime prevented
types of machine faults identified
Groundup.ai combines advanced data science, artificial intelligence, and industrial expertise to solve real-world maintenance and asset management challenges. Founded in Singapore, we work with manufacturers, plant operators, and industry leaders across the region to implement scalable, tech-driven solutions that make operations more efficient, reliable, and cost-effective.
We bridge the gap between complex technology and practical business results.
A Groundup.ai makes advanced technology easy to use and practical for your business. Here’s why companies choose us:
Make unplanned downtime a history with Groundup.ai’s Predictive Maintenance solution proprietary loT sensors and Al platform. Improve cost savings and avoid redundant checks by conducting timely maintenance only when it’s needed.
We use magnetic-based IoT sensors for precise, non-intrusive data acquisition of vibration, temperature, and sound.
Machine Health classifications provide clear insights into prioritizing attention towards machines requiring the utmost attention.
Prompt detection of machine anomalies to enable swift intervention and resolution, before any catastrophic breakdowns happen.
AI identifies the suspected machine issues so you don’t have to spend days or weeks eliminating possibilities to derive on the root cause.
Most companies fix machines after they break. We help you fix them before they do.
Our system predicts problems early with AI and real-time sensor data, so you avoid costly downtime, emergency repairs, and production delays.
You can’t improve what you can’t see.
We give you a live view of your equipment health, performance trends, and maintenance needs all in one place. This helps you make faster, smarter decisions on the ground.
Unplanned stops are expensive. Manual inspections are time-consuming.
Our solution cuts unnecessary maintenance, lowers repair costs, and increases machine uptime by giving you more output with less effort.
It Identify potential equipment failures before they happen. Our AI models detect early warning signs and provide alerts so you can act in advance by using vibration analysis, thermal data, sound recognition, and more.
Our Computerized Maintenance Management System (CMMS) helps you track, schedule, and manage maintenance tasks effortlessly. Streamline workflows, keep digital records, assign tasks, and integrate with IoT sensors for smarter planning.
We deploy industrial-grade sensors to collect real-time data on temperature, pressure, vibration, sound, and other variables. Our sensor network feeds directly into our AI models and dashboards by making your operations truly data-driven.
To improve uptime and reduce waste in high-speed manufacturing environments.
Maintain strict hygiene and temperature standards while avoiding costly downtime.
An ROI (Return on Investment) Calculator is a tool used to assess the effectiveness of an investment. It determines the ROI by comparing the net profit generated from the investment to the initial cost.
Predictive maintenance uses data and analytics to foresee when equipment might fail. This allows companies to perform maintenance only when necessary, saving time, money, and preventing unexpected breakdowns.
By identifying early signs of equipment wear or failure, predictive maintenance lets you schedule repairs before a breakdown happens, minimizing unplanned stoppages and production delays.
Effective systems rely on data from IoT sensors, including temperature, vibration, sound, pressure, and usage logs. This data feeds into AI models that detect patterns and predict failures.
CMMS software automates maintenance planning by logging assets, scheduling tasks, and tracking maintenance history. It often integrates with sensor data to trigger alerts and optimize work orders.
Common IoT sensors include:
IoT platforms use edge devices, gateways, and cloud services to collect, transmit, and analyze data. Technologies like MQTT, LoRaWAN, and NB-IoT ensure secure and efficient data communication.
IoT encompasses a broader ecosystem involving smart devices, data analytics, and cloud platforms. A WSN focuses specifically on communication between multiple sensors in a local network. IoT often includes WSNs as part of a larger system.
We pursue real measurable impact on the products and services that we deliver. Let’s drive for a real impact together, from the ground up. Reach out to us now to arrange for a demo.
