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. A lakehouse and BI layer on top, with questions asked in Vietnamese, is in development (see VectiQ Data Lake).
Connect probes, controllers and actuators - DO, pH, temperature, relays - into one managed network.
On-site gateways that buffer, preprocess and run AI locally when connectivity is unreliable.
MQTT and LoRaWAN messaging that move sensor data reliably from the field to the platform.
Scalable time-series storage with trends, anomaly detection, and historical analysis.
Threshold and rule-based automation - trigger aerators, pumps or alerts to Zalo and SMS.
Live dashboards for every device and site, with health monitoring and configurable views.
DO / pH / Temp
Local buffer
MQTT / LoRa
Timescale
Web / Alerts
Soil, weather and irrigation sensors feeding a central platform that automates watering and warns on anomalies.
Continuous dissolved-oxygen, pH and temperature monitoring with automatic aerator control and early-warning alerts.
Air, water and level sensors across sites, fused with cameras for reliable environmental early warning.
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
A lakehouse in development: dbt models, Dagster schedules, Vietnamese NL2SQL and dataset profiling, being integrated into Bronze, Silver and Gold layers