Most IoT platforms monitor and alert after something goes wrong. We built one that prevents it. Zeento.Cloud connects real-time sensor data to commodity-specific intelligence. LoggerDaisy has monitored environments for 5+ years. SmartContainers ran across 300+ Electrolux locations. PLU Finder turns produce knowledge into cold chain decisions. This is IoT backed by a decade of production deployments.
Four products that cover the full IoT stack — from sensor hardware to commodity intelligence.
Incubated — Cold Chain Intelligence Platform
The first cold-chain platform that prevents losses instead of reporting them. Commodity intelligence layer with storage norms and Codex standards per item. Prevention guardrails that suggest, require confirmation, or block actions that cause damage. Universal sensor compatibility (Modbus, MQTT, ESP-NOW, WiFi). Semantic search — ask "what do I do with avocados and bananas together?" and get actionable guidance, not a manual.
5+ Years as CTO — Environmental Monitoring
IoT platform deployed across warehouses, cold storage, greenhouses, transportation fleets, and offices. Temperature, humidity, air pressure, CO2, ethylene, and VOC monitoring. Proprietary VOCA sensor detecting CO2 and VOCs across broad temperature ranges. Medical integration with Jumper Medical oximeter data for ER patient prioritization.
Electrolux — 300+ EU Locations
Enterprise supply chain platform for pan-European distribution. Transportation and warehouse management, freight route optimization, transaction and compliance tracking, quality control automation. Reliable operation across hundreds of facilities simultaneously.
Incubated — Produce Intelligence for Cold Chain
1,540+ produce items with AI-enriched profiles including storage conditions, temperature ranges, ethylene sensitivity, and shelf-life data. The knowledge layer that tells cold chain systems what "correct storage" actually means for each commodity. API at api.plufinder.com.
From prototyping to production firmware — we handle the full embedded stack.
Raw sensor data is only useful when it connects to knowledge and action. Here's how our IoT stack feeds our AI stack.
Sensor data flows through IronFlow pipelines — ingestion, validation, transformation, and storage. Time-series data into ArangoDB or S3. Anomaly detection triggers via conditional routing. Notification workflows (email, Slack) on threshold breaches. All automated, all running as a single binary.
PLU Finder provides commodity-specific storage norms. Zeento.Cloud's commodity intelligence layer maps sensor readings to what should actually happen for each product. CogniGraph stores relationships between commodities, facilities, and conditions. The result: context-aware decisions, not just threshold alerts.
Node.js and Python backends for web dashboards and APIs. FastAPI for data-heavy processing services. AWS IoT and Azure IoT Hub integration when the enterprise requires it. Custom data pipelines for specialized reporting and compliance.
Ethylene and VOC correlation with produce freshness — research we conducted over years at LoggerDaisy. Predictive shelf-life estimation based on real sensor data patterns. Optimal storage condition algorithms that adapt to what's actually in the room, not generic presets.
Sector-specific IoT deployments with production track records.
Produce freshness monitoring with ethylene and VOC detection. Greenhouse climate control. Cold storage optimization. Farm-to-table traceability. Food waste reduction analytics. Proven across LoggerDaisy and Zeento.Cloud deployments.
Drug storage compliance monitoring. Vaccine cold chain with regulatory reporting. Medical device data integration (Jumper Medical oximeter at LoggerDaisy). Clinical environment monitoring. GDPR and HIPAA-ready infrastructure.
Fleet temperature monitoring during transit. Cargo condition tracking with real-time alerts. Route optimization based on environmental conditions. Compliance documentation generated automatically. SmartContainers proved this across 300+ Electrolux locations.
WebIt 2014 IoT Hackathon Winner — Sensobot: sensor-enabled gear for drones with real-time environmental data collection and aerial monitoring. 10+ years in IoT. Co-founder and CTO of LoggerDaisy. Proprietary ethylene and VOC research published and applied in production systems.
Contact us to discuss your environmental monitoring, cold chain, or industrial sensor requirements — we bring 10+ years of production IoT experience and our own platform stack.
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