Speed to forecast is the energy trader’s edge
Weather drives the volatility that makes or breaks a position. That’s why firms invest heavily in top meteorologists. But if your weather team spends more time battling data than analyzing it, your advantage is gone before you can act. Earthmover clears the data hurdles so your meteorologists can deliver tradable insights in real time.
The platform of choice for leaders and innovators
The Hidden Bottleneck
Most traders never see it, but weather teams spend an alarming amount of time preprocessing data before it can be used to build a prediction or forecasting scenario.
- Data sets arrive in clunky, inconsistent file formats that can take hours to clean, reformat, and normalize.
- Traditional databases force multidimensional data to be flattened into rows and columns, stripping away the structure that makes it so powerful .
- AI potential goes untapped as this oversimplification makes it impossible to train and deploy advanced ML models.
- Data manipulation opens the door to inconsistencies, where even a tiny error can cascade through a model, reducing its reliability and trust in its outcomes.
We call this the “data engineering tax”. And in trading, that tax is paid in the form of slower forecasts, fewer simulations, and missed windows for profitable trades.
Infrastructure is the Difference
When your weather team has the right data infrastructure, you see it in your win rate.
- Faster insights: Forecasts delivered in minutes, not hours.
- Sharper focus: Your brightest minds spend time analyzing data, not cleaning it.
- Confidence: Every dataset and model is versioned and traceable, eliminating “black box forecasts”.
- Future-proofed: As AI-powered forecasting, renewable integration and climate volatility grow, your infrastructure scales to keep pace.
- Your data, your cloud: With Earthmover, your weather data resides in your own cloud storage buckets, eliminating data-vendor dependency
Elevate Your Win Rate
Earthmover is purpose-built to eliminate the “data engineering tax” by handling multidimensional weather data natively with Arraylake, our tensor-based data engine. And with Flux, our high-performance delivery gateway, insights move from storage to model to trader in near real time.
Faster forecast availability → faster trades.
More simulations → higher confidence in positions.
Transparent versioning and dataset history → better risk management.
Arraylake eliminates the data grunt work. Flux eliminates the wait. Together, they turn weather into tradable insight – in real-time.
3 Optimizations that Cut the Cost of AI Weather Forecasts by 90%
