Product vision

See the future of your cold chain before spoilage happens

SpoilSafe's predictive platform transforms how distributors, transporters, and retailers manage freshness. Our machine-learning models forecast hours-to-spoil for every SKU, enabling teams to intervene proactively and protect margins before loss occurs.

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How SpoilSafe works

Sensor deployment

Compact modules install in minutes across distribution centers, transport vehicles, and retail locations.

ML model training

Our machine learning models learn from your specific product mix, storage conditions, and historical patterns.

Continuous optimization

Models improve over time as they process more data, becoming more accurate and providing better recommendations.

01 · Perceive

Detect

  • Real-time multi-sensor monitoring across facilities and fleets
  • Gas, temperature, humidity, and door event tracking
  • Edge computing processes data locally for instant insights
02 · Analyze

Predict

  • Machine learning forecasts hours-to-spoil for every SKU
  • Predictive models identify spoilage risk before it's visible
  • 18+ hour warning windows enable proactive intervention
03 · Evolve

Adapt

  • Actionable alerts routed to the right teams in real time
  • Integration with ERP and inventory systems
  • Impact tracking shows waste reduction and margin protection
SpoilSafe device monitoring freshness

Bring continuous freshness visibility to your operations

We partner with culinary, facilities, and operations leaders to prove outcomes quickly and scale confidently.

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