Essential infrastructure and construction projects confront escalating exposure to severe weather that exceeds current operational thresholds and engineering specifications. Immediate flood episodes intensify long-term climate adaptation obstacles as recurring damage expedites system degradation.
Solar and wind power generation encounter weather-driven variability that creates grid coordination challenges and financial uncertainty from fluctuating output. Market volatility arises when peak generation outpaces demand, while supply mismatches erode returns for renewable-heavy portfolios.
Port facilities endure storm surge inundation and inadequate drainage infrastructure, with 86% of global ports exposed to multiple weather hazards causing billions in annual damages. Adverse weather conditions suspend offshore wind operations and create substantial budget overruns.
Public tide predictions are based on the gravitational pull of the sun and moon and do not account for local wind, weather, or shoreline features. Wave models estimate general ocean conditions but often lack the resolution needed for shallow waters, harbors, and estuaries, where complex coastal dynamics can lead to dramatically different outcomes.
Operators often depend on the closest monitoring station for tidal conditions, even when it's located miles away. Every stretch of coastline, though, is unique. Local river inflows, shoreline curves, underwater topography, and wind exposure can create dramatically different water levels and wave activity from one spot to the next. Critical operations face unnecessary risk when estimates are based on distant data that doesn't reflect site-specific conditions.
SkyWind Solutions fills this gap by delivering site-specific total water level forecasts, eliminating the guesswork of estimating ocean conditions from distant tide stations. Our accurate, hyperlocal predictions are tailored to the exact point of operation.
Advanced bias correction techniques improve accuracy by learning from historical trends and correcting model errors. Outputs include confidence levels that support better operational decisions across all coastal regions, including underserved communities with limited access to high-resolution data.
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) and the EcoTech Report, a research initiative advancing sustainability in technology. Bonnie is a graduate of Boston University.
CO-FOUNDER
Applied mathematician and atmospheric scientist with a research focus on numerical methods and parallel computing for weather and climate 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 global atmospheric prediction. Dr. Viner spent over a decade at the U.S. Naval Research Laboratory advancing large-scale forecasting systems. Dr. Viner holds a Ph.D. in Atmospheric Sciences from Texas A&M University and an M.S. from Purdue University.
The extended executive team includes senior-level scientists with doctoral degrees in meteorology, mathematics, and engineering. Collectively, they lead initiatives in numerical weather prediction, high-performance computing, and advanced software architecture — bringing decades of specialized experience at the forefront of their fields.
SkyWind Solutions is part of The Shoreline, Seaworthy Collective’s curated platform for startups advancing scalable ocean and climate solutions. The program provides strategic guidance, industry access, and a trusted innovation network—accelerating our ability to deliver weather intelligence for energy, infrastructure, and maritime operations.
We're seeking early pilot partners to deploy our customized AI-powered model to enhance your decision-making.
Explore how site-specific, data-driven forecasting can reduce contingency costs, minimize downtime, and improve planning efficiency across energy, maritime, and infrastructure operations.
Each pilot delivers forecasts tuned to your specific site, planning horizons, and critical thresholds—built to reflect your actual risk and timing needs.
Pilots run without IT burden but allow time for proper configuration, ensuring our predictive analytics align with your internal workflows from day one.
Collaborate with our modeling and engineering team throughout the pilot to optimize performance.
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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