Predict risk before it happens.
A public-signal prediction engine for risk, markets and strategic decisions.
This is not a faster report. It is a different category of system.
There’s nothing new about using data to project risk. What’s new is what Noah is built on.
Three billion structured signal points, already indexed.
Every paragraph of global public information, converted into classified, continuously updated signal — across any vertical, gathered and structured over years.
What used to take months now runs continuously.
Noah applies that signal instantly — clear probability reads with confidence scoring, backed by data you can interrogate yourself.
Always current. Always auditable. Controlled by you.
Ask a question. Get a measurable position, not an opinion.
A readable report — on screen, as PDF, open to interrogation. And underneath every answer, evidence you can open.
Every answer carries its bundle.
{
"product": "Noah Predict",
"frame": "insurance / underwriting",
"subject": "UAE · kidnap & ransom",
"decision": {
"bind_posture": "bind_with_load",
"composite": 66,
"direction": "watchful"
},
"confidence": "high-confidence directional",
"evidence_count": 15,
"archive": "5,000,000,000+ points",
"audit_id": "chatv2-940e15b6"
}
The advantage is not the model. It’s the data.
Noah Wire already supplies news intelligence to parts of the Tier 1 publishing and B2B information ecosystem — signal collected, structured and distributed at scale.
Most of that signal is never used.
Editors select. Platforms filter. Vast amounts of relevant signal never surface, despite being available. Noah works on all of it.
The data already exists. Noah is a new way of measuring it.
Not a cheaper analyst. A different category.
Pre-built prediction, ready to run.
Ready-made for the questions teams actually ask:
Watch Noah work a real question.
“K&R exposure read: northern Nigeria executive travel, 30-day horizon.”
It selects the K&R underwriting route.
The exposure is routed through a premade peril workflow — the user never has to design one.
It constructs the signal lanes.
Abduction incidents. Actor capability. Corridor exposure. Security response. Ransom dynamics. Each lane measured on its own terms.
It measures directional pressure.
Freshness, direction, contradiction, velocity, source quality, materiality — measured before synthesis, not asserted after it.
It checks what happened this morning.
Named entities and live markets trigger a material-events pass, so breaking context is never missed.
It saves the report — or the method.
Rerun the same exposure review as conditions change, or preserve the custom method for the next investigation.