Salient provides AI-powered weather intelligence spanning one day to one year ahead using deep learning models trained on extensive climate data. This platform delivers superior accuracy for subseasonal-to-seasonal predictions by focusing on ocean and land-surface inertia. Enterprise clients across agriculture, energy, and finance utilize these actionable forecasts and industry analytics for improved planning and risk management.
Funding
$8.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BMFounders
Product
Problem
Traditional weather forecasting models often lack accuracy beyond a few weeks, making it difficult for industries like agriculture, energy, and finance to plan for future weather patterns. The chaotic nature of the atmosphere limits the skill of numerical models, while statistical models often overlook key oceanic and land-surface factors that influence seasonal weather.
Solution
Salient provides subseasonal-to-seasonal weather forecasts, from 2 to 52 weeks in advance, using machine learning algorithms to analyze ocean and land-surface data. By incorporating a wider range of climate data and focusing on the inertia of ocean and land-surface conditions, Salient achieves a 2X accuracy improvement over competitive forecasts. The platform employs deep neural networks to identify complex climate system relationships, providing actionable outputs through decision tools, map interfaces, and APIs. This enables businesses to make informed decisions and optimize operations based on more reliable long-term weather predictions.
Target Audience
The primary customers are businesses in agriculture, energy, and finance that require accurate subseasonal-to-seasonal weather forecasts for planning and decision-making.
Features
- Machine learning forecast engine analyzing billions of weather and climate predictors
- Deep neural networks trained on ocean and land-surface data for improved accuracy
- Subseasonal-to-seasonal forecasts ranging from 2 to 52 weeks
- API data points generated weekly for real-time access to forecast information
- Industry-specific models and impact functions tailored to agriculture, energy, and finance
- Verification and validation processes to ensure forecast reliability
- Actionable outputs including decision tools, map interfaces, and APIs