A new combination of meteorological technology, data science and AI powers Claros, the model behind our Advanced Long-Range (ALR) platform
range
1 to 24 months
range
1 hour to 10 days
Live on-site weather stations, AI neural networks and advanced meteorological science power Delos, the model behind the Hyper-Local Precision (HLP) platform
World class statistical and predictive analysis for Natural Catastrophe risk through the Advanced Long-Range platform or MetSwift Reports
range
1 to 24 months ahead
Our global platform delivers forward-looking weather risk intelligence, showing how future conditions and risks differ from the past, according to parameters and thresholds customised to your needs.
Claros, our long-range predictive model, has a huge depository of highly cleansed and normalised weather data at its heart. Access this climatological data and see how future weather and parametric risks differ.
Customer support is a major part of what we do, whether helping you to understand the methodology and meteorology behind the data or sending specific data requests, we’re on hand to help.
A new combination of meteorological technology, data science and AI powers our models, but from energy, commodities and insurance to construction, it’s our platforms and support team that help you get the insights you need.
Leading insurers, including Munich Re, Beazley, and Allianz, have leveraged MetSwift’s insights to evaluate weather-related risks well in advance. Our Advanced Long-Range platform provides an immediate view of risk, enabling underwriters to set more accurate premiums, identify high-risk periods, and build optimised portfolios that truly reflect evolving weather exposures.
MetSwift provided a bespoke report considering 50 years of past wind data from the site and mapped this out against the specific topography of the site. We then used the Claros model to calculate expected future weather for the years in which the project would be active. We were able to calculate an expected wind related downtime of 24% for the duration of the project. This was vital to Laing O’Rourke in the pre-bid phase and allowed them to put in a much more accurate, and therefore competitive bid. They subsequently won the bid and have just completed the project, delivering the finished stadium on time.
A huge proportion of price volatility in the energy and agricultural markets is driven by the weather. MetSwift's predictions that are not only more accurate, but have a predictive horizon that extends 21 months further than other providers. Our modelling is designed not only to achieve predictions with a lower average error, but to spot future weather anomalies that can have a direct effect on the markets.
"the adoption of MetSwift's advanced forecasting capabilities has proven to be a game-changer for Align & HS2. By providing precise, hyperlocal weather data, the platform supports informed decision-making and strategic planning, ensuring that the project can navigate weather-related challenges with confidence. This collaboration sets a new standard in the construction industry for leveraging cutting-edge technology to optimise operational outcomes and enhance safety."
Align JV - HS2
Recent blog and news reports, as well as custom sector-specific meteorological reports that deliver unparalleled insight through MetSwift Reports.
Whether you want to get a demo, have questions or want to see how MetSwift’s product could transform your business drop us a line by filling in the form. We’re here to help!
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