Terminal-level wind visibility for faster, more confident logistics decisions.
Hyper-local wind intelligence built for real operating conditions at the port edge, where timing, berth access, and terminal flow all depend on better signal.
Stop letting the wind dictate your supply chain margins.
Hyper-local, real-time anemometer telemetry for port operations. AnemoLogix gives logistics managers and terminal teams the docking probabilities, crosswind thresholds, and live site conditions they need to plan with more confidence.
Signal
24/7
Continuous terminal-level wind monitoring
Use case
Docking
Operational support for berthing windows
Output
API + Alerts
Telemetry your teams can act on quickly
Feed
Terminal telemetry
Decision layer
Docking probability
Status
Live telemetry
Operations Note
Reduce uncertainty around berth scheduling, crane availability, and weather-driven hold decisions with terminal-specific wind intelligence.
Why us
Generic weather models fail in the harbor.
Logistics teams do not need a prettier forecast. They need terminal-level signal they can trust when vessel timing, labor allocation, and yard flow are already under pressure.
Micro-Climate Data
Hardware deployed directly on the terminals, capturing the wind patterns that regional weather products routinely smooth over.
Actionable Alerts
Push notifications when crosswinds exceed safe operating limits, helping managers act before delays cascade through the schedule.
Enterprise API
Integrates directly into existing logistics software, so operations, planning, and dispatch teams can work from the same live signal.
Deployment
Rugged sensing infrastructure designed for marine operations.
AnemoLogix uses rugged, solar-powered RS485 ultrasonic sensors to capture reliable wind telemetry where it matters most: directly inside working terminal environments with real operational exposure.
The result is durable, low-maintenance field hardware that continuously feeds a cleaner dataset into your alerting, forecasting, and scheduling workflows.
Built for the field
- Low-maintenance industrial deployment model
- Continuous telemetry from the operational edge
- Designed to support scheduling and risk decisions
- Structured for API delivery into existing systems