Public tide predictions are missing critical data. They’re based on the gravitational pull of the sun and moon but ignore local factors such as wind, weather, and sea level rise that drive coastal water heights.
Tide stations are widely spaced, some are hundreds of miles apart, leaving extensive gaps of coastline underserved. Operators are forced to estimate between points - resulting in forecast errors: 1 to 3 feet, 5+ in storms.
Infrastructure and construction projects face rising extreme-weather pressures that exceed design limits. Flood events accelerate structural degradation and strain resilience.
Port facilities endure storm surge inundation and inadequate drainage infrastructure, 86% of global ports are exposed to multiple weather hazards annually costing billions.
Solar and wind power generation encounter weather-driven variability that creates grid coordination challenges and financial uncertainty from fluctuating output.

CO-FOUNDER
Former national television meteorologist with on-air roles at CNN, CNN International, HLN, NBC, and The Weather Channel. Author of Extreme Weather (Macmillan) and Taking the Heat (Simon & Schuster) . Schneider, a Boston University graduate, integrates weather expertise into business strategy.

CO-FOUNDER
Data scientist with expertise in environmental prediction. Dr. Hodyss advances the fusion of numerical weather prediction and generative AI, specializing in Monte Carlo methods and their application to geophysical fluid dynamics. Dr. Hodyss earned his M.S. and Ph.D. in Atmospheric Science from UC Davis.

CO-FOUNDER
Applied mathematician and atmospheric scientist specializing in numerical and parallel computing for weather models. A Native American researcher, Dr. Rainwater developed advanced time integration techniques during his Ph.D. at UC Merced and holds an M.S. in Mathematics from Portland State University.

CO-FOUNDER
Meteorologist specializing in numerical methods and dynamical systems for atmospheric prediction. Dr. Viner spent over a decade at the U.S. Naval Research Laboratory in global forecast modeling. He earned his Ph.D. in Atmospheric Sciences from Texas A&M University and an M.S. from Purdue University.




When distant storms interact with the local impacts of king tides, forecasting accuracy faces its toughest test. The Cape Canaveral study below examines what changes during extreme conditions and how improved performance benefits coastal planning.
🎥Video: Cape Canaveral October Tidal Flooding, Paradox Adventure Photography
Superior Tide Forecasting Performance: King Tide Event
Verification study documenting enhanced tide forecast performance during extreme coastal conditions. During the October 11-12, 2025 compound flooding event at Cape Canaveral, Florida. Our AI-enhanced forecasts achieved 3.6-inch accuracy with seven-day advance warning. All results validated against official NOAA observations.

We're seeking early pilot partners to deploy our customized AI-powered model to enhance your decision-making.
Each pilot delivers forecasts tuned to your specific site, planning horizons, and critical thresholds—built to reflect your actual risk and timing needs.
We’re selecting a small number of pilot partners to gain early access and shape deployment—priority goes to those with critical timing exposure.
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