AI detects the signal
EventsAI scans global news, social, broadcast media, and structured feeds to surface emerging events across categories such as unrest, conflict, crime, weather, transportation, and infrastructure disruption.
Verified Events and EventsAI
EventsAI detects and categorizes emerging events at global scale, while Verified Events add human confirmation, source validation, and event-level context. Together, they give teams both speed and trust; an AI-powered view of what is happening and a verified intelligence picture they can brief, share, and act on with confidence.
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In Geneva, around 7,000 people marched and set a vehicle on fire, during a protest against the G7 summit.
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In Bilenke, Zaporizhia region, Russian drone attacks struck a vehicle, killing one person and injuring four others, according to Ukrainian sources.
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In Madrid, thousands of teachers, families, and students gathered and marched, protesting to demand improvements in education.
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In Barcelona, thousands of teachers, families, and students gathered at the Jardinets de Gràcia and marched to Plaça Catalunya, protesting to demand improvements in education.
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In the Jabalia refugee camp, Jabalia, the Gaza Strip, Israeli security forces carried out attacks in the area, killing four people and wounding several others.
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Vetted, sourced, severity-scored. Published with provenance attached.
Events are structured at extraction
Each surfaced event is tagged by category, location, severity, sentiment, reliability, source, and time, creating a structured event layer teams can search, filter, map, and monitor.
Analysts confirm what matters
Seerist analysts review surfaced events, validate source material, and confirm the details before events enter the verified layer.
Verified events build the trusted picture
EventsAI provides speed and scale; Verified Events provide human confirmation and defensibility — together creating a complete intelligence picture teams can brief, share, and act on with confidence.
Architecture
EventsAI is Seerist’s AI-powered event detection layer. It surfaces, categorizes, and structures emerging events from global open-source data at scale — but it does not claim verification on its own. Verified Events and Breaking Events sit above that layer, where Seerist analysts confirm source material, validate event details, and publish the trusted records your teams use to monitor, brief, and act.
We surface signal. Humans decide consequence.
The Common Operating Picture
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