
Salient Predictions is a weather intelligence company that leverages novel ocean and land-surface data combined with advanced machine learning and climate expertise to deliver highly accurate subseasonal-to-seasonal weather forecasts ranging from 2 to 52 weeks in advance. Originating from decades of research at Woods Hole Oceanographic Institution and MIT, Salient's platform uses deep neural networks to analyze billions of climate predictors, providing forecasts with twice the accuracy of competitors. Their technology supports enterprise clients across agriculture, energy, finance, and supply chain sectors by offering global coverage forecasts, industry-specific analytics, and decision tools through APIs and web interfaces. Salient's business model focuses on SaaS and subscription services, helping organizations mitigate risk, improve preparedness, and increase resilience against climate volatility. The company is led by a team of experts in oceanography, climatology, machine learning, and business growth, and has received multiple grants and recognition for its innovative approach to weather forecasting.

Salient Predictions is a weather intelligence company that leverages novel ocean and land-surface data combined with advanced machine learning and climate expertise to deliver highly accurate subseasonal-to-seasonal weather forecasts ranging from 2 to 52 weeks in advance. Originating from decades of research at Woods Hole Oceanographic Institution and MIT, Salient's platform uses deep neural networks to analyze billions of climate predictors, providing forecasts with twice the accuracy of competitors. Their technology supports enterprise clients across agriculture, energy, finance, and supply chain sectors by offering global coverage forecasts, industry-specific analytics, and decision tools through APIs and web interfaces. Salient's business model focuses on SaaS and subscription services, helping organizations mitigate risk, improve preparedness, and increase resilience against climate volatility. The company is led by a team of experts in oceanography, climatology, machine learning, and business growth, and has received multiple grants and recognition for its innovative approach to weather forecasting.
What they do: AI-driven subseasonal-to-seasonal (2–52 weeks) weather and water-availability forecasts and analytics
Customers / sectors: Enterprise clients in agriculture, energy, finance, and supply chain
Tech origin: Research roots at Woods Hole Oceanographic Institution and MIT
Funding highlights: Seed $5.4M (Jun 2, 2022); multiple grants and a grant round on May 16, 2025
Headcount & HQ: ~27 employees; Cambridge, MA (245 Main St.)
Subseasonal-to-seasonal weather and water-availability forecasting for enterprise decision-making
Weather intelligence / Climate forecasting
5.4M
Participating investors named: Munich Re Ventures, Powerhouse Ventures, Endeavor8, First Star Ventures, Blindspot Ventures
Listed as a grant round; company has received NOAA and NSF SBIR grants and MassVentures support
“Has institutional VC and strategic investors (e.g., Wireframe Ventures, Munich Re Ventures) and grant funding”