During severe weather events, the Met Office and its partnership with the Environment Agency at the Flood Forecasting Centre (FFC) seek vital on-the-ground information. This […]
Social media monitoring for weather impact.
FloodTags detects weather impacts by monitoring X, YouTube, BlueSky, Facebook, Instagram, and online news in real time. It delivers validated insights for operational management, disaster response, insurance, and climate trend analysis—adopted by leading agencies such as the UK Met Office.
We currently cover floods, landslides, mudflows, windstorms, snow, hail and wildfires.
FloodTags is a web platform that turns social media, news and websites into a structured, real-time picture of flood and severe-weather impact: Where it is happening, who and what is affected, down to neighbourhood level and across 13 languages.
A live workspace on events as they unfold, from automatic detection, geolocation and severity scoring to the individual posts behind each event, with queries, alerts, a live map and API access.
The same platform, set up for reporting. See the events detected in your region, and download a report on any of them: a quick snapshot, or a detailed report with maps, timelines and photos.
One-off work, on request, built around your question: tailored data analysis reports, multi-year event time-series for model validation and trend analysis, and manually validated data points.
Five front doors, one platform. Each links through to a page with the full picture.
FloodTags is a Dutch company specializing in transforming social media and news content into structured, actionable data. Through advanced, real-time processing of text and images, FloodTags identifies locations and applies domain-specific models developed by experts in flood and disaster intelligence. Built specifically for weather and disaster monitoring, FloodTags combines deep expertise with cutting-edge technology to help professionals detect, interpret, and act on events with unmatched accuracy—across operational response, insurance, and long-term analysis.
Detect events from text analysis (within a few seconds) as well as anomaly detection (via 10-minute updates).
Weather-impact data extracted with high confidence, using domain specific algorithms and approaches.
From the text, events are geolocated with a 97% confidence. More accurate than any other approach.
Expand access and analyse historical data for comprehensive analysis on specific events.
The interface is designed for weather impact professionals, putting all your relevant information at your fingertips.
Connect to our API to access the data in your preferred software. FloodTags offers seamless integration with Delft-FEWS.