Welcome to MetSwift

Provided by the platform at the core of our business, these metrics derive from the Advanced Stats Model. This uses a climate-change adjusted combination of statistical analysis, analogue forecasting* and expert judgement (including AI), to predict forthcoming meteorological trends. This is assessed at a national or, in the case of larger countries, a provincial level.

Our clients use it to assess or underwrite the risks associated with the conduct of major field-based activities. These include mining, oil & gas production and the operation of dams, wind turbines or hydroelectric plant. In short, the planning of any major event occurring on the world stage.

Self-service – by directly framing specific enquiries from our web-based platform.
API calls - via integrations to third party systems.

This supports our clients project work in the field. This data derives from our STF (Short Term Forecast) model. This combines real-time readings with a detailed understanding of the effects of the unique site topography of any point on the globe to give highly accurate, site-specific, short-term forecasts.

Our clients use it to optimise their utilisation of resources on site through informed scheduling. Examples include crane operations or resin and concrete curing.

Client specific project work of this kind, begins with a range of data sources being identified and, where necessary, enhanced. A bespoke, biased model is then created and optimised by normalising against past observations and site-specific parameters. The combination provides ongoing, accurate management information of significant operational value.

Our probability analytics in respect of extreme events once again uses our proprietary Advanced Stats Model. For any geographic location (on either a single day, or up to a 7 day window), the chance of occurrence of a variety of significant weather perils or catastrophic events can be predicted.

The epicentres of devastation make headlines. But material damage and disruption still take place far from the tracks taken by extreme weather events. Gauging the associated likelihoods, in advance, has proven crucial to businesses involved in event planning, re-insurance and the insurance of property. Windspeed, temperature and precipitation data together with information regarding normal range of NatCat perils are offered. This notably includes the propensity for ignition events to successfully propagate wildfires, and also, and separately, earthquake data.

Once again, we support clients across a range of operational sectors (notably ground transportation) together with the organisations which insure them.

Self-service – by directly framing specific enquiries from our web-based platform.
API calls - via integrations to third party systems.