PROJECT
TAILOR
Fine-tuning AI foundation models for client-tailored long-range weather forecasts.
Beyond Weather has been selected for €2.5M in EIC Transition funding to advance tailored long-range AI weather forecasts for energy and other weather-sensitive industries.
● Project facts
Funding
€2.5M
Programme
EIC Transition
Duration
30 months
Focus
Energy & weather-sensitive industries
Why TAILOR matters
Many organisations make critical decisions weeks or months in advance. In energy, agriculture, infrastructure and other weather-sensitive sectors, the ability to anticipate weather-driven risk earlier can directly influence planning, costs, resilience and performance.
Weather volatility is increasing
Renewable energy production, grid stability, asset planning and market prices are increasingly affected by extreme and variable weather conditions.
Decisions are made weeks ahead
Operational and financial decisions often need to be made beyond the standard short-range forecast window.
Generic forecasts are not enough
Organisations need forecasts that are tailored to their assets, regions, variables, lead times and decision-making context.
About project TAILOR
TAILOR focuses on fine-tuning AI foundation models for long-range weather forecasting. Instead of relying on one-size-fits-all weather models, the project explores how AI models can be adapted to specific operational needs, sectors and decision contexts.
The project is coordinated by Beyond Weather and focuses first on the energy sector, where weather volatility has a direct impact on supply, demand, grid stability, trading and long-term planning.
● Project facts
Project name
TAILOR
Full title
Fine-Tuning AI Foundation Models for Client-Tailored Long-Range Weather Forecasts
Coordinator
Beyond Weather
Duration
30 months
Funding programm
European Innovation Council - EIC Transition
Funding amount
€2.5M
Initial focus
Energy and weather-sensitive industries
Built on European science and technology
TAILOR builds on European climate AI research and Beyond Weather’s existing prototype technology. The project connects scientific advances in AI-based climate and weather forecasting with practical applications for organisations exposed to weather-driven risk.
This project also builds on developments in AI foundation models for weather forecasting, including work by the European Centre for Medium-Range Weather Forecasts (ECMWF), and on research outcomes from the European XAIDA project.
From research to real-world decision support
XAIDA research
ECMWF AIFS & AI weather foundation models
Beyond Weather prototype
TAILOR
From weather forecasts to decision intelligence
TAILOR starts with a strong focus on the energy sector, where weather increasingly affects operational, financial and strategic decisions. The same approach can support other organisations that need to anticipate weather-driven risks earlier and with more context.
Energy systems
Supporting better anticipation of weather-driven supply, demand, grid stress and renewable energy variability.
Trading and markets
Helping teams interpret long-range weather signals in relation to volatility, exposure and risk.
Asset-heavy industries
Enabling earlier planning for infrastructure, operations, maintenance and resilience.
Our approach
Step 1
Select
Identify suitable AI foundation models and datasets for long-range forecasting challenges.
Step 1
Fine-tune
Adapt models towards specific weather variables, locations, lead times and decision needs.
Step 3
Validate
Evaluate performance, reliability and usefulness in realistic industry contexts.
Step 4
Deliver
Translate model output into actionable forecasts, APIs and decision-support workflows.
Team Beyond Weather
TAILOR is coordinated by Beyond Weather, a European deep-tech company combining climate science, AI engineering, software development and commercial expertise.
Our team works on a shared mission: turning advanced weather and climate intelligence into practical decision support for organisations facing weather-driven risk.
Funded by the European Innovation Council
Beyond Weather has been selected to receive€2.5M in EIC Transition funding for TAILOR. The EIC Transition programme supports the development of breakthrough innovations and helps bring promising research results closer to market-ready applications.
Funding statement
This project is supported by the European Innovation Council through the EIC Transition programme.
GET IN TOUCH
Want to learn more about TAILOR?
For questions about the TAILOR project, collaboration opportunities or tailored long-range AI forecasts, get in touch .