Stop adapting to the model.
The model should adapt to you.
We deliver space and atmospheric insights that adapt to how people actually work—turning complex environmental data into actionable decisions.
Woman-Owned
Military Spouse-Owned
American-Made (Always)
Designed for Reality,
Not Ideal Conditions
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Most environmental models assume perfect inputs, unlimited time, and expert users. We design for real-world constraints—partial data, tight timelines, and high-stakes decisions. The system adapts to how people actually work.
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Space weather and atmospheric dynamics are deeply interrelated, yet often modeled in isolation. Our platform integrates both domains to provide a more complete and operationally relevant picture of environmental risk and impact.
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Different missions require different thresholds, time horizons, and levels of detail. Users can tune outputs, alerts, and assumptions to match their operational context without rewriting the whole model.
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When something doesn’t work, we don’t call it “user error.” We treat feedback as signal, not noise, and iterate quickly to improve usability, accuracy, and relevance.
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Whether you’re exploring historical behavior, monitoring current conditions, or planning ahead, the same platform supports analysis, nowcasting, and forecasting— without switching tools or workflows.
Environment Modeling
Space Weather and Atmospheric Environment (SWAN) toolkit
SWAN is an integrated space and atmospheric intelligence model built for real-world decision making. SWAN adapts to how users work, rather than forcing operators to adapt to the model.
SWAN supports:
Real-time monitoring and nowcasting
Short- and long-range forecasting
Historical benchmarking and validation
Exportable data and mission-ready visuals
Whether you’re planning operations, monitoring risk, or analyzing past events, SWAN delivers space and atmospheric intelligence that works in practice.
From atmosphere to orbit. From data to decisions.
Powerful physics. Elegant design.
And no PhD needed to understand the results.
Adaptive Modeling for an Ever-Changing Environment
Our ApproachMost models are rigid, opaque, and designed around assumptions instead of users. Our platform is different: flexible, transparent, and responsive to real-time needs.
Environmental conditions don’t stand still, and neither should your tools. Our models adjust to real-world constraints, workflows, and feedback so that insight is available when it matters most.