Your own sovereign weather model
Train a custom AI weather model on observations from your theater, and run it on dedicated hardware or your own infrastructure. Your model, your data, under your control.
Military meteorology
Weather intelligence engineered for military operations
Decades of commercial atmospheric measurement and AI-native forecasting in a sensor-to-decision system ready for the command center.
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Vaisala Xweather is a selected partner for the most demanding organizations
Operational impact across domains
Make better decisions faster.
The world's most adaptive AI-powered forecast and detection systems, grounded in sensors, refined by science, and optimized for real decisions.
Air operations
Increase sortie availability
Improve UAV mission success
Reduce weather-related flight risk
Ground operations
Improve mobility assessment
Optimize logistics routes
Enhance force protection
Maritime operations
Support fleet maneuver
Improve amphibious operation planning
Increase port and harbor readiness
Space and ISR
Improve sensor effectiveness
Enable launch go/no-go decisions
Enhance collection planning
Validation and proof
Proven in operational military environments
Operational contracts: Atmo.ai forecasting is currently in use on USAF and US Navy missions.
Global footprint: Vaisala instrumentation operates in 170+ countries, delivering 300+ projects annually.
Decades of trust: Allied defense forces and meteorological institutions have trusted Vaisala since the 1930s.
Leader in lightning: We detect the precise time and location of over 2 billion lightning events every year.
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90 years
of measurement heritage
170 + countries
operating Vaisala instrumentation
300 + projects
delivered annually
Built for allied, secure operations
Security and data integrity
The architecture is designed to resist adversarial interference, so observations reach the forecast intact.
Operationally proven globally
Trusted by the US Air Force, the US Navy, and other defense forces, Atmo.ai forecasts are operational in active deployments.
NATO aligned
Committed to allied military forces and fully NATO/STANAG compliant.
Secure, sovereign systems
HMAC-SHA256-signed radiosonde messages, per-sounding secret keys, and an anti-jamming/anti-spoofing design (RS41-SGM) to maintain data integrity in the field.
From situational awareness to mission-relevant operational insight
01Now: Situational awareness
Real-time monitoring of weather conditions
Station observations, radar, lightning, satellite, and alerts
Providing the lens for weather-sensitive operations
02Next: Hyper-local forecasts
High-resolution forecast guidance
Rapid-refresh intelligence for changing conditions
Location-specific risk guidance
03Impact: decision-ready intelligence
Weather-informed risk indicators
Planning, readiness, and resource prioritization
Assess impacts to support commander decisions
Proven foundation
2,000+ subscription customers
Commercial operational reliability underpins scalable, mission-critical weather intelligence.
American Airlines, Amazon, Pfizer, Waymo, and NASA trust Xweather.
Defense-relevant foundation and trusted observations since the 1930s.
Forecasts, APIs, and intelligence services for integration.
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Domain applications
Solutions for defense operators
User
Technical experts, autonomous platform operators, and command personnel.
Challenge
Operating in disconnected environments requires localized, highly accurate weather data that can feed autonomous platforms and C2 systems directly, without relying on vulnerable continuous cloud connectivity.
Solution
Xweather's decision system acts as a sovereign alternative for AI-enabled weather intelligence. It integrates hardware sensors directly with AI-native models deployed at the edge, turning raw data into an immediate decision layer.
Impact
Maintain operational capability in denied communications environments.
Deliver structured, real-time input that mission-planning and autonomous platforms can act on directly.
Secure data integrity with anti-jamming and anti-spoofing architecture.
Streamline procurement through one vendor, sensor to decision.
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