Energy
problem.
Renewable energy operators face massive inefficiencies due to weather uncertainty. Grid operators curtail wind and solar production when they can't predict output reliably, wasting clean energy that's already been generated. While large utilities employ entire teams of meteorologists and quantitative analysts for optimization, smaller operators and community renewable projects are left with basic forecasts and manual spreadsheets. This creates an unfair playing field where only the biggest players can truly optimize their operations against weather volatility.
Renewable energy operators face massive inefficiencies due to weather uncertainty. Grid operators curtail wind and solar production when they can't predict output reliably, wasting clean energy that's already been generated. While large utilities employ entire teams of meteorologists and quantitative analysts for optimization, smaller operators and community renewable projects are left with basic forecasts and manual spreadsheets. This creates an unfair playing field where only the biggest players can truly optimize their operations against weather volatility.
potential.
Research has shown that a 12% reduction in energy operational costs is possible through weather-informed decision making. For a city like Zürich, this translates to 246 million kWh saved annually, equivalent to 74 million CHF in cost savings. By reducing renewable curtailment and improving grid efficiency, operators can maximize clean energy utilization while contributing to energy democracy and enabling smaller players to compete effectively.
Research has shown that a 12% reduction in energy operational costs is possible through weather-informed decision making. For a city like Zürich, this translates to 246 million kWh saved annually, equivalent to 74 million CHF in cost savings. By reducing renewable curtailment and improving grid efficiency, operators can maximize clean energy utilization while contributing to energy democracy and enabling smaller players to compete effectively.
solution.
We're building a platform that democratizes access to sophisticated weather optimization. We integrate state-of-the-art AI weather models with energy-specific algorithms, delivering the same capabilities that previously required entire in-house teams. Through real-time APIs, we can enable automated energy workflows (e.g. bidding strategies, optimal storage dispatch, and proactive grid balancing) making enterprise-grade weather intelligence accessible to operators of all sizes.
We're building a platform that democratizes access to sophisticated weather optimization. We integrate state-of-the-art AI weather models with energy-specific algorithms, delivering the same capabilities that previously required entire in-house teams. Through real-time APIs, we can enable automated energy workflows (e.g. bidding strategies, optimal storage dispatch, and proactive grid balancing) making enterprise-grade weather intelligence accessible to operators of all sizes.
