IoT, Edge & Data Platform
Connecting sensors, edge and the cloud into one data fabric
The infrastructure layer beneath our monitoring solutions: we integrate sensors and devices, run edge gateways, move data over MQTT/LoRaWAN, store it as time-series, and turn it into alerts, automations and dashboards - the same backbone powering our aquaculture and smart-farm deployments.
Core Capabilities
Sensor & Device Integration
Connect probes, controllers and actuators - DO, pH, temperature, relays - into one managed network.
Edge Gateways
On-site gateways that buffer, preprocess and run AI locally when connectivity is unreliable.
Real-time Data Bus
MQTT and LoRaWAN messaging that move sensor data reliably from the field to the platform.
Time-series Data & Analytics
Scalable time-series storage with trends, anomaly detection, and historical analysis.
Alerting & Automation
Threshold and rule-based automation - trigger aerators, pumps or alerts to Zalo and SMS.
Monitoring Dashboards
Live dashboards for every device and site, with health monitoring and configurable views.
Problems We Solve
Sensor Networks for Farms
Soil, weather and irrigation sensors feeding a central platform that automates watering and warns on anomalies.
How It Works
Technology Stack
Related Projects
Real-time AI camera monitoring system for livestock and crop surveillance
Camera and IoT-sensor monitoring for fish ponds: water quality, feeding activity, and early-warning alerts
Predictive irrigation system using XGBoost and weather data to optimize water usage