Predictive Dry Ice
Intelligence for
Critical Shipments
Real-time visibility into remaining safe operating time — before failure occurs. Built for pharma, biotech, and life sciences.
Live Simulation
See CryoTrak In Action
A simulated real-time view of a pharmaceutical shipment in transit. This is the kind of visibility CryoTrak delivers — before your current system even knows there's a problem.
Shipment CT-2026-0417
The Problem
Cold Chain Failures Aren't Detected.
They're Discovered Too Late.
Today's monitoring tells you what already happened. Dry ice depletion is invisible until it's too late.
Product Loss
Temperature-sensitive biologics destroyed in transit with no advance warning.
Compliance Risk
Excursion events trigger regulatory scrutiny and audit exposure.
Operational Disruption
Failed shipments require rework, re-manufacturing, and emergency logistics.
Financial Exposure
High-value pharma shipments represent significant risk with every unmonitored transit.
The Solution
From Monitoring to Prediction
CryoTrak analyzes internal conditions within the shipment to determine what happens next — enabling proactive decisions, not reactive damage control.
Remaining Safe Operating Time
Know exactly how long your shipment stays within safe conditions — updated continuously.
Sublimation Rate Intelligence
Continuous analysis of dry ice depletion dynamics within the shipment environment.
Excursion Risk Forecasting
Predict temperature excursions before they occur — enabling proactive intervention.
How CryoTrak Compares
Beyond Temperature Logging
Most cold chain monitoring tells you something failed. CryoTrak tells you when something will fail — while you can still act on it.
| Capability | Manual Checks | Temperature Loggers | CryoTrak |
|---|---|---|---|
| Real-Time VisibilitySee conditions during transit, not after | × | ~ | ✓ |
| Predictive Failure ForecastingHours of warning before excursion | × | × | ✓ |
| Remaining Safe Operating TimeHours-of-life prediction for the shipment | × | × | Hours of forecast |
| Proactive Intervention WindowTime to act before product loss | × | × | ✓ |
| Audit-Ready DocumentationContinuous data trail for GDP compliance | × | ✓ | ✓ |
| Resource OptimizationInsight into dry ice consumption patterns | × | × | ✓ |
| Loss Prevention ModeReactive vs. preventive posture | Reactive | Reactive | Predictive |
How It Works
Built on Physics. Powered by Data.
A proprietary combination of sensing, environmental analysis, and predictive modeling that forecasts when conditions will no longer be safe.
Multi-Point Internal Sensing
Proprietary sensor architecture captures conditions within the shipment environment in real time throughout transit.
Real-Time Environmental Analysis
Continuous data processing interprets changing conditions as they evolve — not after the fact.
Predictive Depletion Modeling
Advanced algorithms forecast remaining safe operating time with increasing precision.
Proactive Alerting
Operators receive advance warnings enabling intervention before loss — not post-failure notifications.
Why It Matters
The Cost of Not Knowing Is Too High
CryoTrak shifts cold chain from reactive damage control to proactive risk reduction.
Prevent Excursions
Act before temperature thresholds are breached, not after.
Reduce Product Loss
Protect high-value shipments from preventable failure.
Strengthen Compliance
Continuous predictive data supports audit readiness and regulatory documentation.
Optimize Resources
Data-driven insight into dry ice consumption and packaging effectiveness.
Operational Confidence
Real-time visibility across your shipment portfolio, dispatch to delivery.
Decision-Ready Data
Actionable intelligence for logistics teams, not historical records.
ROI Calculator
Quantify Your Cold Chain Risk
Adjust the inputs to model your annual exposure. Estimates are based on industry-published spoilage rates and intervention recovery economics.
// Inputs
Your Operation
// Estimated Annual Impact
With CryoTrak
Projected Annual Savings
Illustrative model. Assumes 60% average product value impact per excursion (severity factor), 70% of those losses recoverable via predictive lead time, and 12% reduction in dry ice cost from data-driven packaging optimization. Figures represent gross savings potential and do not deduct service costs. Actual results vary by lane, packaging, product stability profile, and operational response. Not a financial projection.
Who It's For
Designed for High-Value, High-Risk Shipments
Built for industries where shipment failure is not an option and cold chain breaches are measured in millions.
Current Status
In Active Development
CryoTrak is being built and tested in real-world environments. We are engaging with select partners for early access and pilot programs.
Prototype Validation Underway
Hardware and predictive algorithms in active testing across controlled and real-world conditions.
Patent Pending
Core predictive methodology protected under pending patent applications.
Industry Engagement Active
Conversations with pharma, biotech, and logistics companies for pilot partnerships.
Select Partner Onboarding
Limited early access opportunities for qualified organizations.
Get Involved
Be Part of the Future of Cold Chain Intelligence
We are working with a limited number of strategic partners to shape predictive cold chain technology. If you're ready to move beyond reactive monitoring — we'd like to speak with you.