Technology

The engineering behind unattended weather intelligence

Four technology pillars come together in every Winds deployment — AI analytics, autonomous power, resilient communications, and ruggedized unattended hardware. Designed from user requirement backwards to hardware.

Core Philosophy

A sensor is not the product. Delivering the right weather intelligence to the right user, in the right format, is the product.

Our technology is shaped by one question: what does the end user actually need on their screen, in their cockpit, in their ops room? We go inside the user's brain to deliver exactly what the user needs — and engineer the AI, transmission and sensors backwards from that.

Designed from user requirement backwards to hardware
Weather intelligence, not weather data
Right data, right format, right user, right time
AI transforms raw sensor input into user-ready information
AI as the translator

How AI converts sensor data into role-specific outputs

The same wind, temperature, pressure and visibility readings have to mean different things to a pilot, an analyst and an authority. Our AI engine is the translator that decides what each user sees.

IN

Raw Sensor Streams

Multi-sensor data flowing in continuously from extreme-environment installations.

AI

AI Engine

Forecasting, anomaly detection, and per-role reasoning — trained on years of Indian field data.

FMT

Format per User

Pilot view, analyst dashboard, authority feed — same data, three deliverables.

OUT

User-Ready Output

EFB tablet, ops-room dashboard, network-wide feed, AI voice — delivered the way each user needs it.

Pillar 01

AI Analytics Engine

Forecasting, anomaly detection, and operator guidance — running on terrain-tuned models built from years of Indian field data.

Site-tuned forecasting

Local-terrain models trained on years of regional weather data.

Anomaly detection

Continuous health monitoring for sensors and links — flag drift before it matters.

Aviation-grade nowcasts

Gust, visibility and ceiling guidance suitable for ATC and flight ops.

Edge + cloud hybrid

Inference where bandwidth is scarce, training and aggregation in the cloud.

Pillar 02

Autonomous Power Systems

A power system you can leave alone — sized for the worst-case weather, not the best.

Solar with derated sizing

Panels and storage sized for cloudy weeks, not sunny ones — so the system rides through long cloud cover.

Wind augmentation

Optional small-turbine augmentation for sites where solar alone won't carry the system through winter.

Long-life battery banks

Cold-tolerant battery chemistries with active charge management for multi-year unattended life.

Smart power management

Load-shedding, brownout protection, remote power control — every watt accounted for.

Pillar 03

Communication Systems

Radio, satellite and network — picked per site, with automatic failover so data keeps flowing when one path drops.

Radio data links

VHF/UHF radio with FEC and store-and-forward for reliable low-bandwidth operation.

Satellite uplink

For sites with no cellular or terrestrial coverage — burst, scheduled or always-on options.

Cellular & private network

4G/5G and private LTE / network transport for high-throughput sites.

Multi-path resilience

Automatic failover between radio / satellite / network — operations don't notice the swap.

Pillar 04

Long Unattended Deployment Design

From housing to firmware, every layer is designed for years between site visits.

Sealed enclosures

Salt, dust, UV and rotor-wash tested to operate sealed for years.

Lightning & surge protection

Multi-stage surge protection on every external interface.

Watchdog firmware

Self-recovering software stack with hardware watchdog and remote re-flash.

Remote diagnostics

Engineers can triage almost anything from base — site visits become rare.

Want to go deeper?

We're happy to share datasheets, architecture diagrams, and reference deployments under NDA. Tell us your use case.