know what's happening on the ground before it hits the news.
Verified, timestamped, geolocated incident data from vetted local reporters in 17 countries. 76% of threats are live on the platform within two hours, while most feeds are still waiting on the headlines.
45-min live demo · Your regions, real data · No slides
Next step: pick a time in our calendar · No commitment
Threats reported before they have even happened: planned demonstrations, mobilisations, and pre-incident activity captured by reporters already embedded in those communities.
Of threats are live on the platform within two hours of occurring, while most data providers are still silent or scraping recycled feeds.
And expanding. Every addition extends coverage into corners no algorithm, desk analyst, or satellite feed can reach.
live the moment
it's reported,
verified by people.
Reports reach you straight away, flagged unverified with a confidence score. AI triage and a human analyst then confirm or reject them, so you can act early and weight each signal properly.
two things an analyst desk structurally cannot do
I founded Intelligence Fusion, spent eight years building it, and sold it in 2022. I know precisely what that architecture can do, and I know the two things it structurally cannot.
It cannot pay for speed.
A salaried analyst is paid the same whether a report lands in nine minutes or nine hours. We pay per report on a sliding scale set by how fast it arrives, many times more for one filed inside fifteen minutes than for the same event filed the next day. Speed is not a hope in our model, it is the compensation model.
It cannot buy local fluency.
A desk in London or Washington sees only what has already been translated, indexed and published. Our reporters live where they report. They read the local language, they know which municipal notice or neighbourhood channel carries it first, and they know when a gathering in one district means something entirely different from the same gathering two streets away.
the first feed your ai can task
Threat data is about to stop being something people read and start being something their systems ask. MCP is the open standard that connects an AI tool directly to a data source. Instead of your engineers learning our schema, your AI just asks.
Read.
Your own AI tools query verified reports directly: location, time window, threat type, confidence score and the full source chain behind each record. No integration project, no schema to learn. Included with every API licence at no extra cost.
Write, and taskable.
When the answer is not in the data yet, your question becomes a paid bounty. The crowd goes and collects it, and the result enters the feed through the same verification process as everything else. You stop querying an archive and start commissioning collection.
Pay for what you ask.
Bounty credits bought inside the conversation itself, so a one off question does not need a procurement cycle. The licence covers the feed. Credits cover the collection you commission.
Every other provider could put an MCP over its archive. None of them can task a crowd, because none of them have one.
Their coverage is capped by headcount. Ours is capped by demand. Licence the API now and you are already on the platform when the rest arrives.
Explore the MCPWrite and bounty tasking functionality is in development. It is described here to show the direction of the product, is not part of the licensed service, carries no delivery date, and should not be relied on as a commitment to deliver it. The Model Context Protocol is an open standard and Crowd Threat is not affiliated with its authors.
want to pick a time
that works for you?
Choose a demo slot straight from our calendar. No email chains, no waiting.
see your regions
through local eyes
in 45 minutes.
We'll walk through live data for the places you care about. Real platform, no pitch deck.
Next step: pick a time in our calendar · No commitment
The Spire
Pilgrim Street
Newcastle upon Tyne
NE1 2DS
United Kingdom