Your systems know where your people are, what your vessels carry and which supplier ships on Thursday. They are fast, clean and yours, and they cannot tell you that the port your vessel is heading for closed an hour ago.
That news exists. A dockworker posted it, a regional broadcaster repeated it and a news agency filed it, all in the language of the port. It is public, and it is not in your data.
The world reports first
The events that decide whether a plan survives the day happen outside the organization. Strikes, protests, attacks, closures and claims are reported in public before anyone enters them into a system you own.
Our own records make the point: high-impact events often surface first on local social media channels. A team that waits for reports to be checked, packaged and translated reads them late.
The warning is already public.
Easy to find, hard to use
Exterior data is not scarce, and that is the problem. There is too much of it, most of it repeats, and the first account is written in the language of the place.
Reports also lose their source as they travel. By the time one reaches you, ten outlets may be carrying a single statement, and it looks like ten independent reports.
What we do with it
Artorias reads open reporting as it is written, in 68 languages (as of 5 Oct 2026). We collect from local social media channels, regional media platforms, news agencies and satellite imagery providers.
We trace reports to their first source and hold back the repeats, and the first report becomes the warning. Later reports join its story as new facts or independent confirmation, so your team follows one story as it develops.
Where the two meet
None of this replaces what you know. A port closure means little to a company with no cargo in the region. It means a great deal to one with a vessel due tomorrow.
Exterior intelligence tells you what is happening, and your own data tells you what it means for you. The decision sits where the two meet.
