Asset Utilization Monitoring

Use real-world utilization data to make even smarter capital decisions.

Service Insight's Asset Utilization Monitoring delivers real-world sensor data that reveals how equipment is actually used. Lab teams can make better, data-driven decisions about maintenance schedules, capital investments, space design, and operational efficiency. Making business case for needed equipment and assets becomes straightforward

Trusted by the world's most exciting labs
Key Functions

Features

Predictive Maintenance Insights

Track usage patterns to align maintenance schedules with real operational demand.

Widest Device Coverage

Monitor utilization across lab equipment using flexible sensor options for diverse environments.

Multiple Utilization Signals

Capture utilization through multiple sensing methods to understand how assets are actually used.

Long-Life Battery Power

Operate sensors for years on a single battery with minimal maintenance and no frequent replacements.

Simple Device Installation

Deploy sensors in minutes with wireless setup and no disruption to equipment or operations.

Cortex Asset Health

Continuously assess asset health using telemetry and operational data to identify risks early.

Core Benefits

Key Benefits

Contract Optimization

Align service schedules with actual equipment usage to reduce unnecessary maintenance and improve reliability.

Capital & Space Investment Proof

Use real utilization data to justify equipment investments, consolidation, and space planning decisions.

Operational Efficiency

Identify bottlenecks in equipment usage to improve scheduling, reduce wait times, and increase lab throughput.

System Compatibility

Works well with

Services
Devices
Protect Sample Integrity
Predict & Prevent Failures
One Platform Complete Visibility
Audit-Ready Compliance
Your Samples Deserve More Than Reactive Monitoring

Ultra-low temperature freezers store irreplaceable biological samples, cell lines, reagents, and patient specimens—often worth millions of dollars and representing years of research. A single freezer failure, especially one occurring overnight or on a weekend, can destroy work that simply cannot be recreated.

  • Most labs rely on monitoring systems that send alerts only after temperatures have already exceeded safe thresholds
  • Service Insight provides predictive intelligence that identifies equipment showing signs of stress before failures occur
  • Begin with your most critical freezers—those containing irreplaceable samples or supporting active clinical programs
  • Deploy temperature probes and door sensors to establish baseline monitoring, then leverage pattern analysis
From Reactive Firefighting to Predictive Confidence

Traditional monitoring watches temperature. It sends alerts. But it operates in isolation—disconnected from the maintenance systems that could prevent failures in the first place. The result? Teams spend more time reacting to emergencies than preventing them.

  • AI-driven asset health scoring that detects compressor degradation, door seal wear, and defrost cycle anomalies
  • Automatic work order generation when thresholds are approached, not exceeded
  • Pattern analysis across your entire cold storage fleet to identify outliers
  • Connect freezers to Service Insight's monitoring infrastructure and let predictive intelligence identify equipment requiring attention—often weeks before a failure would occur
Eliminate the Swivel Chair Problem

In most labs, temperature data lives in one system, maintenance tickets in another, and compliance documentation is assembled manually from multiple sources. This fragmented approach creates gaps, delays response times, and makes audits unnecessarily stressful.

  • Environmental monitoring—temperature, humidity, door status for freezers, refrigerators, and LN₂ tanks
  • Maintenance management—work orders, preventive schedules, vendor coordination
  • Asset performance analytics—health scores, trend analysis, predictive insights
  • Compliance documentation—audit trails linking environmental data to maintenance actions
  • Whether you have 10 freezers or 100, Service Insight provides centralized visibility from a single dashboard
Documentation That Regulators Trust

For labs operating under GxP, FDA, or CLIA requirements, demonstrating cold chain integrity isn't optional—it's essential. When auditors ask how you know your samples were stored correctly, you need defensible answers backed by verified data.

  • Continuous environmental logging with timestamps and audit trails
  • Linked records connecting environmental events to maintenance responses
  • 21 CFR Part 11 compliant data integrity and electronic signatures
  • Automated reporting that eliminates manual record assembly
  • When inspection time comes, Service Insight's comprehensive records demonstrate that cold chain integrity was maintained continuously
Frequently Asked questions

FAQ.

How does asset utilization monitoring work?

Service Insight deploys connected sensors on laboratory equipment to track utilization through three complementary methods: door-based monitoring (measuring opening frequency and duration for cold storage and incubators), occupancy-based tracking (percentage of working day shared equipment is actively in use), and power-based monitoring (determining active operation versus idle modes).

How can we use utilization data to optimize maintenance?

Instead of applying fixed maintenance schedules based on manufacturer recommendations, align maintenance cadence to actual equipment usage. Equipment used 20+ hours per week requires a different maintenance frequency than equipment used 5 hours per week. Utilize monitoring reveals this variance, allowing you to optimize service schedules and negotiate service contracts based on demonstrated demand.

How does this help with capital equipment decisions?

Most equipment investment proposals rely on anecdotal evidence—"the biosafety cabinet is always in use" or "people keep waiting on that instrument." Utilization monitoring quantifies these operational needs with real data: equipment occupancy percentages, usage intensity patterns, and capacity constraints. Show that a shared biosafety cabinet runs at 95% occupancy to justify purchasing a second one.

Align service schedules with actual equipment usage to reduce unnecessary maintenance and improve reliability.

Use real utilization data to justify equipment investments, consolidation, and space planning decisions.

Identify bottlenecks in equipment usage to improve scheduling, reduce wait times, and increase lab throughput.

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Anthony Uzzo

Founder & CEO, Service Insight