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Cold

Edge AI that predicts a fridge failure and identifies what is failing.

Why it matters

Up to ⅓of vaccines in sub-Saharan Africa are lost to temperature failures

Normally a temperature alarm sounds only once the fridge has already warmed, and by then the doses may be gone. Sankofa Cold changes that, giving staff warning of a failure while every dose is still safe.

What Sankofa Cold does

Sankofa Cold puts edge AI on the fridge itself. A small device reads the fridge’s electrical signals together with its temperature, humidity and vibration, 27 parameters in all. A compressor wearing out, an unstable power supply or a door that no longer seals each leaves its own signature in those signals long before the temperature moves, and the AI on the device recognises it on the spot. Staff learn what is failing in time to move the vaccines or fix the fault. The device fits the fridges and freezers already in use in about five minutes, with no tools, and health agencies see every fridge in a single live view.

PowerVibrationHumidityTemperatureSafe limitSankofa Cold: failure predictedCause identified: compressor faultTemperature alarmwould sound hereTime to act while every dose is safeIllustrativePowerVibrationHumidityTemperatureSafe limitFailure predictedCause: compressor faultAlarm wouldsound here ↑Time to actIllustrative

Source for vaccine losses: ACES, University of Birmingham and Rwanda Biomedical Centre, November 2025.

In detail

What it does

For vaccine programmes, health agencies and clinics.

  • Edge AIThe AI runs on the device at the fridge, with or without a network
  • Predictive27 parameters, each sampled every second, to predict a failure before it happens
  • DiagnosticIdentifies what is failing, so the right fix arrives first
  • Every fridgeFridges and freezers already in use, including solar
  • One live viewEvery fridge across clinics, hospitals and equipped vehicles
  • Quick to fitAbout five minutes, with no tools or special skills

What Sankofa Cold reads

Four families of signals, every second.

Each fridge reports on its power supply, its cooling, the room around it and its location. Sankofa Cold reads every one of the 27 parameters once a second, and the edge AI on the device combines them to predict a failure and identify its cause.

PowerVoltage, current, power factor, energyCoolingInternal temperatures, vibration, flowEnvironmentRoom temperature, humidity, light, soundLocation and linksGPS, cellular, Wi-Fi, BluetoothEDGE AIon the deviceFailure predictedbefore the temperature movesCause identifiedfor example, compressor wear27 parameters, read every secondPowerCoolingEnvironmentLocationEDGE AIon the deviceFailure predictedCause identified27 parameters, read every second

Work with us

Let’s talk.

Whether you build AI models, develop new medicines, run health services, fund health programmes or invest, we’d like to hear from you.

General enquiries: hello@sankofa.health
Media: press@sankofa.health
LinkedIn: Sankofa Health ↗

Sankofa Health (Pty) Ltd
Suite 102, 25 Richefond Circle
Ridgeside Office Estate, Umhlanga Rocks 4319
South Africa

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