In the world of high-value cold chains, a "real-time alert" is often a notification of a loss that has already begun. IntruVU’s Predictive Monitoring platform uses advanced machine learning to identify the precursors of failure - giving your team hours, or even days, to intervene before a deviation occurs.
Traditional monitoring tells you what is happening. Intruvu tells you what will happen. By analyzing billions of data points across global healthcare and pharma networks, our AI spots the subtle patterns that human eyes—and standard sensors—miss.
Our algorithms analyze historical thermal profiles and ambient weather data to predict when a storage unit is drifting toward a limit.
The Result: A 45%–60% reduction in total temperature excursions.
Don't wait for a compressor to die on a holiday weekend. Intruvu monitors "machine signatures"—such as erratic power draws or microscopic vibration changes—to flag mechanical fatigue.
The Result: 30%+ reduction in unplanned equipment downtime.
For Pharma and VFC, we integrate "Virtual Probing" technology. Our system predicts the core temperature of your product based on ambient air fluctuations, reducing the need for invasive physical probes.
Predictive monitoring prevents product spoilage by allowing for "Just-in-Time" maintenance. Instead of replacing a $50,000 batch of vaccines after a failure, you spend $200 to fix a fan motor identified by our AI as "failing."
Yes. Our predictive models enhance your compliance posture. While the CDC requires historical logs, they highly encourage proactive risk management. Intruvu provides both.
In most cases, no. The Intruvu AI layer can often sit on top of your existing IoT infrastructure, turning "dumb" data into actionable intelligence.
