Environmental Intelligence at Work
Delve into real-world applications of operational intelligence that drive efficiency, innovation, and growth. Explore how Tautuk™ solutions are shaping the future of your industry.
Smartly Navigate a Complex World
The world is becoming more connected than ever before. Organizations today manage a wide range of equipment, devices, and systems, all of which generate vast amounts of data.
Tautuk™ is revolutionizing how these companies do business. By collecting, monitoring, and analyzing real environmental data, rather than relying on estimates and predictive models, organizations have the power to make smarter decisions.
Whether you're looking to reduce maintenance costs, enhance energy efficiency, or ensure environmental compliance, we deliver the insights you need.
Predictive Maintenance Through Advanced Analytics
Challenge: Unplanned machinery downtime and costly reactive maintenance leading to decreased efficiency, increased costs, and disruptive delays.
Solution: Implement advanced analytics to monitor machinery health, performance indicators, and subtle patterns that might lead to failures. Predict and diagnose potential issues before they escalate, enabling timely interventions.
Outcome: Dramatically reduced unplanned downtime, extended machinery lifespan, optimized operational efficiency, and significant cost savings in maintenance and potential lost production.
Use Case: Improving the Maintenance Record at Airports
Challenge: Equipment failures at airports—such as malfunctioning baggage handling systems, escalators, or HVAC units—can lead to costly delays, operational disruptions, and passenger dissatisfaction.
Solution: Continuously monitor in real-time critical equipment, tracking parameters like temperature, vibration, and air pressure to detect early signs of malfunction, allowing maintenance teams to take proactive action and fix issues before they lead to failure.
Outcome: Predictive maintenance minimizes downtime, improves passenger experience by reducing disruptions, and helps airports avoid costly repairs and last-minute fixes. Overall, airports maintain smoother and more reliable operations.
Use Case: Saving Costs in the Manufacturing Sector
Challenge: High operational costs due to inefficient energy and resource use, particularly in large-scale facilities with complex systems, and machinery wear and tear leading to unexpected and costly failures.
Solution: Deploy sensors and collect data to monitor factors such as energy consumption, air quality, and equipment performance, including machinery health, to optimize resource use, provide early warnings of maintenance issues, and adjust operations to reduce unnecessary energy usage.
Outcome: With timely continuous monitoring, reduce downtime and avoid costly repairs, as well as achieve reductions in energy consumption, leading to lower utility costs and a smaller environmental footprint.