PLANETTE provides long-range environmental forecasts spanning from next week to next year using proprietary AI algorithms and Earth science advancements. The platform delivers high-resolution weather intelligence, real-time alerts, and business-specific risk assessments to optimize operations. This enables quantitative teams globally to mitigate weather volatility and make smarter, earlier operational decisions.
Funding
$2.5M 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.
DFGWFounders
Product
Problem
Businesses often lack accurate environmental forecasts beyond traditional weather predictions, hindering their ability to make informed decisions regarding resource management, supply chain logistics, and risk mitigation. The gap between short-term weather forecasts and long-term climate projections leaves organizations vulnerable to environmental volatility.
Solution
Planette provides environmental forecasts, ranging from two weeks to five years, utilizing physics-based modeling and machine learning. Planette's SURA™ generative AI model delivers accurate predictions for critical variables like temperature, rainfall, wind, and humidity on a global 25-km grid. This enables businesses across various sectors to optimize operations, anticipate supply chain disruptions, manage resources effectively, and mitigate risks associated with extreme weather events. By integrating Planette's forecasts, organizations can enhance their decision-making processes and gain a competitive edge in the face of increasing environmental uncertainty.
Target Audience
Planette serves businesses in energy, agriculture, and commodities trading, as well as organizations needing to manage resources and mitigate risks associated with environmental volatility.
Features
- Environmental forecasts from two weeks to five years ahead
- Global coverage with a 25-km resolution grid
- Forecasts for temperature, rainfall, wind, humidity, and hail risk
- Physics-based modeling enhanced with machine learning
- SURA™ generative AI foundation model of the Earth system
- Flexible data APIs for integration with existing models and workflows
- Regular forecast updates, four times per month