Skywind Solutions provides AI‑powered hyperlocal tide and weather risk intelligence for coastal and maritime stakeholders. Their platform delivers tide predictions with 90% confidence intervals and integrates via an enterprise API, enabling operators to anticipate storm surge, flood risks, and weather‑driven variability in renewable energy output. By filling gaps left by traditional tide stations, the service helps infrastructure projects, ports, and renewable assets improve resilience and operational planning.
Funding
Funding not disclosed
Founders
Product
Problem
Public tide predictions rely only on astronomical forces and ignore local wind, weather, and sea level rise, resulting in errors of 1–3 feet and over 5 feet during storms. Tide gauge stations are sparsely distributed, leaving large coastal gaps where operators must interpolate between points, creating uncertainty for infrastructure, port, and renewable energy planning.
Solution
Skywind Solutions delivers AI‑driven hyperlocal tide forecasts that incorporate numerical weather prediction, wind, and sea‑level trends to model water heights at specific coastal locations. The platform generates probabilistic outputs with 90 % confidence intervals, giving users a quantified range of likely outcomes. Forecasts are provided via an enterprise‑grade API or downloadable files, enabling seamless integration into existing decision‑support systems. By combining deep domain expertise with generative AI and Monte Carlo methods, the service produces higher‑resolution, more accurate tide predictions for critical coastal operations.
Target Audience
Primary customers are operators of coastal infrastructure, port authorities, and renewable energy developers (offshore wind and solar) who require precise tide information for design, operations, and risk management.
Features
- AI model fuses astronomical tide calculations with real‑time weather, wind, and sea‑level rise data for site‑specific forecasts
- Probabilistic output includes 90 % confidence bands to convey uncertainty and risk
- Enterprise REST API and bulk file delivery for automated ingestion into operational workflows
- High‑resolution predictions covering gaps between sparse tide gauge stations
- Scalable cloud infrastructure supporting continuous updates and large‑scale scenario analysis
- Domain‑validated by meteorology experts and data scientists specializing in geophysical fluid dynamics