COOLDAT®
Helping food QA Managers get destination-specific cold chain data.
Getting destination-specific cold chain data at high resolution — for each destination, including within the end-customer infrastructure, whether a commercial or a residential kitchen — makes it possible for food producers to better synchronize what gets made, when it gets made, how it is packaged, where it goes, and ultimately, the resulting profit margins and the opportunities for upcycling or diversion.
- •Item-level temperature logging
- •RFID tag streaming over MQTT
- •Predictive shelf-life ready data
FLAGSHIP USE CASE — TIME ABOVE SET-POINT
End-to-end excursion evidence for destination-specific best-before dates
Item-level temperature history with min/max set-points, alarms, and out-of-range intervals captured across the full journey — from producer to commercial or residential kitchen.
- •Per-item chart with min/max thresholds and highlighted excursions
- •Resolved-state alarms with trigger and resolution timestamps
- •Out-of-range intervals table: start, end, duration, and peak temperature
Product Demo
Cooldat® in action
COOLKIT BUNDLE
Cooldat® is sold as a 5-element Coolkit
ITEM 1
CoolTag
Tag profile
33 × 100 mm label with printed battery, programmable in Zebra ZT411RFID and armed by QDatFX or QDatDroid.
Runtime
Up to 3 months autonomy with selectable logging intervals from seconds to hours.
Temperature range
-35 °C to +35 °C with up to 4096 logs retrievable even after battery depletion.
Alarm behavior
Alarm state can be detected without downloading the full tag log.
Protocol
RAIN RFID.
Standard quantity
50 CoolTags in the standard CoolKit.
Autonomous RFID Temperature Data Logger Label — Reference: Axzon Opus 5201 Datalogger
ITEM 2
EcoTag for item-level food package tagging
Dimensions
24 × 94 mm Beontag 3004387 format for insertion into customer labels.
Sustainability
Designed as a sustainable RFID tag for high-volume food packaging use cases.
Protocol and quantity
RAIN RFID, with 1200 EcoTags in the standard CoolKit.
Sustainable RFID Food Label — Reference: Beontag Eco Bumper
ITEM 3
Reader hardware by deployment role
Food producer
1 × Zebra FX or RFD40 Premium or TC22R (fixed or handheld deployment).
Food retailer
1 × Zebra EM45 mobile RFID phone.
Coverage model
Use fixed readers for checkpoints and mobile readers for workflows and exception handling.
FX7500
FX9600
EM45
RFD40
TC22RITEM 4
Reader software: QDatFX and QDatDroid
Fixed readers
CoolTag arming and QDatFX workflows for the planned CoolTag quantity.
Handheld and mobile
CoolTag arming and QDatDroid workflows for the planned CoolTag quantity.
Any reader mode
CoolTag streaming, EcoTag streaming, and MQTT alarm/event streaming with unlimited tag streams.
Graph Comparison
Same temperature history, two operating contexts
The backend view is optimized for supervisory analysis, while the mobile view is tuned for field operators on-device.
Dashboard
QDat.io
Mobile
QDatDroid field graph
QDatDroid
QDatDroid mobile tag list
CoolTag Arming
QDatDroid on-device logger details
QDatFX running on Zebra FX Readers (FX9600 and FX7500 as a DApp)
Tag inventory and state
Chart view for log analysis
Table view for traceability
Backend Support Views
Provisioning and trace evidence around the fixed-reader workflow
These views show the platform context around reader setup and downstream sensor evidence.
Reader Provisioning
QDat.io provisioning in the dashboard
QDat.io
Sensor logs in the dashboard
ITEM 5
CoolDat® cloud backend options
MQTT option 1
Docker images on Google Cloud using open-source EMQX.
MQTT option 2
Managed AWS IoT Core.
Database option 1
Docker images on Google Cloud using open-source TimeScale DB.
Database option 2
Managed AWS database stack.
API
RESTful and MCP interfaces for integration and AI agents.
Optional AI roadmap
QCoolDat predictive shelf life (Q1 2026) and QRecover predictive margin recovery (Q2 2026).
Discuss your Cooldat® deployment
Book a demoINITIATIVE SPOTLIGHT
Cooldat® enables Food Scientists to get high-resolution cold-chain data
Cooldat® provides structured item-level cold-chain data to support predictive shelf-life efforts, such as FreshI.org from Cintech.
Visit FreshI.orgCooldat® is a Canadian registered trademark #1,412,371 of Meerv Inc.