01 · capture
06:12 UTC. Someone says the quiet part in public.
A crane operator in Rotterdam posts: “Terminal 4 shut again. Second gantry down this week. Going home.” Thirty-eight followers. No press release. No wire story. Beridio is one of the thirty-eight — because your supply chain module asked it to be.
02 · fingerprint
Seen once, stored once, billed once.
The post is fingerprinted and checked against every document Beridio has ever read. New? Stored. Already known? The engine reuses the answer it already earned. The same sentence is never processed — or paid for — twice.
03 · understand
Your modules read it. One sits up.
The supply-chain module extracts what a human analyst would — location, infrastructure, event, severity — as structured data, not a summary. Confidence scored. Evidence quoted. Nothing to interpret at 6 a.m.
04 · connect
The graph already knows why you should care.
Terminal 4 isn’t just a place — it’s a node. The knowledge graph links it to carriers, lanes, and the two tier-2 suppliers hiding in your bill of materials. A stranger’s bad morning becomes your exposure map.
05 · signal
A record, not a rumor.
The observation becomes a permanent, queryable signal — typed, scored, time-stamped, source-linked. It joins millions of others building the world’s memory of what was said, by whom, about what.
06 · decide
06:14 UTC. Your team moves first.
Two minutes after a post with thirty-eight followers, your logistics lead has the alert, the evidence, and the exposure. Reroute booked by 07:00. The trade press covers it Thursday. Your competitors read about it there.