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Planette AI — Proprietary long-range probabilistic weather and climate forecasts for institutional investors: AI-accelerated, physics-blended forecasting (models named Joro for probabilistic forecasts, Sura for visualisation, Umi for El Niño/La Niña) producing global 25-km forecasts at 1-6 week, 1-3 month and 6-month season-to-season horizons for temperature, precipitation, heating and cooling degree days, plus a 10-year (2015-2024) backtest library at every lead time and location — a rare asset because sub-seasonal-to-seasonal skill is where most forecasting fails. Small team, unusually deep…
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Proprietary long-range probabilistic weather and climate forecasts for institutional investors: AI-accelerated, physics-blended forecasting (models named Joro for probabilistic forecasts, Sura for visualisation, Umi for El Niño/La Niña) producing global 25-km forecasts at 1-6 week, 1-3 month and 6-month season-to-season horizons for temperature, precipitation, heating and cooling degree days, plus a 10-year (2015-2024) backtest library at every lead time and location — a rare asset because sub-seasonal-to-seasonal skill is where most forecasting fails
From 10 yearsCoverage Financials · Information TechnologyAsset class Commodities · Derivatives · Equities
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Planette AI — Proprietary long-range probabilistic weather and climate forecasts for institutional investors: AI-accelerated, physics-blended forecasting (models named Joro for probabilistic forecasts, Sura for visualisation, Umi for El Niño/La Niña) producing global 25-km forecasts at 1-6 week, 1-3 month and 6-month season-to-season horizons for temperature, precipitation, heating and cooling degree days, plus a 10-year (2015-2024) backtest library at every lead time and location — a rare asset because sub-seasonal-to-seasonal skill is where most forecasting fails. Small team, unusually deep…
Planette AI offers (Alternative, Price, Fundamental, ESG) — est. billions of gridded values: global coverage on a 25-km rectangular grid (~1.15M land+ocean cells) across four-plus variables (temperature, precipitation, HDD, CDD; 10-m wind coming), each cell carrying an expectation value, an expected anomaly and a 5th-95th percentile probability distribution at multiple lead times (daily 1-15 days, weekly 1-6 weeks, monthly 1-3 months, season-to-season 6 months), refreshed daily and weekly, plus a stated 10-year historical panel at 25-km resolution and 10 years of backtests at all lead times and all locations.
Weather-driven alpha in futures, options, forwards and swaps across energy, agricultural products, metals and ore; heating and cooling demand forecasting for power and gas desks anywhere in the world; crop yield-risk and harvest-delay positioning ahead of price shocks; disruption forecasting for mining operations; extreme-weather risk screening of ports, refineries, pipelines and supply-chain hubs; portfolio climate-risk and tail-scenario analysis using the 5th-95th percentile distributions; ENSO-regime trade construction from the Umi forecasts; and training or benchmarking of buyers' own sub-seasonal ML models against the 10-year issued-vintage backtest library.
The data is with 10 years of history.
Coverage spans US, Other, APAC, Europe; Financial Exchanges & Data, Application Software; alternative, price, fundamental, ESG; commodities, derivatives, equities, fx.
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