Prediction engine

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 having a pre-indexed archive of over 3 billion structured signal points, already classified and continuously updated across any vertical.

Instead of gathering and interpreting information from scratch, Noah applies that signal instantly. What used to take months and arrive out of date now runs continuously, returning clear probability reads with confidence scoring, backed by data you can interrogate yourself.

Always current. Always auditable. Controlled by you.

6.4h
Average narrative lead
3Bn+
Signals indexed
AAA
Output confidence
100%
Machine-auditable

Ask a question. Get a measurable position, not an opinion.

You get a human-readable report — readable on screen, downloadable as PDF, and you can interrogate the response directly. In addition, a structured data bundle is generated for external analysis and compliance.

Request enterprise information
evidence-bundle.json · click to expand
{
  "product":    "Noah Predict",
  "frame":      "insurance / underwriting",
  "subject":    "UAE · kidnap & ransom",
  "headline":   "UAE K&R risk looks bindable on
                standard-to-lightly-loaded terms,
                driven by regional spillover and
                profile-specific exposure …",
  "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"
}
Ways to use Noah

Pre-built prediction workflows, powered by structured signal.

The advantage is not the model. It's the data.

Every paragraph of global public information is converted into structured signal, not just selected articles.

Noah is built on a continuously updated archive of billions of classified signal points, gathered and structured over years. That allows each workflow to return a measurable result, not just an interpretation.

Most clients should not have to build anything from scratch. Noah provides ready-made workflows for underwriting, political risk, investment research, prediction markets, maritime exposure, company monitoring and regulatory pressure. Custom frameworks are available when the work becomes bespoke.

Each workflow returns a structured result, with clear probability, confidence and the underlying evidence, not just a narrative answer.

Underwriting

Insurance risk

Assess and monitor exposure across K&R, political violence, marine, property and more.

“Can we insure this exposure?”
Markets

Company watch

Company, sector, governance and material-events intelligence for investors, creditors and diligence teams.

“Should we invest in BP?”
Probability

Prediction markets

Candidate selection, liquidity warnings, contract quality and Noah-vs-market edge tables.

“What is mispriced?”
Government

Country briefs

Volatility, public mood, elite mood, policy relevance and watchpoints for senior decision-makers.

“What is moving in Kenya?”
Defence

System strain

Strategic public-signal reads on mobilisation, logistics, industrial base pressure and escalation risk.

“Where is strain building?”
Location

Where-to

Rank countries, cities, corridors, suppliers or sites with separation logic and pivot conditions.

“Where should we build?”
Editorial

Article intelligence

Pull apart an article, identify the thesis, weak claims, forward probability and emerging truths.

“What will this argument become?”

How Noah produces a result

The analysis is completed before the output is produced. The method is fixed. The signal changes.

Each question is treated as a defined investigation, not an open-ended prompt.

Noah selects the appropriate workflow, classifies the signal, constructs the relevant lanes and measures directional pressure before returning a result.

The output reflects measured conditions, not post-hoc interpretation.

Example investigation

K&R exposure read: northern Nigeria executive travel, 30-day horizon.

Classify
Select the K&R underwriting route.The system routes the exposure through a premade peril workflow rather than asking the user to design one.
Lane
Construct signal lanes.Abduction incidents, actor capability, travel corridor exposure, security response, ransom dynamics and local reporting quality.
Physics
Measure directional pressure.Freshness, direction, contradiction, velocity, source quality and materiality are measured before synthesis.
Check
Check for material current events.Named companies and live markets trigger a material-events pass so obvious breaking context is not missed.
Save
Save the report, or save the method when it becomes bespoke.Rerun the same exposure review, or preserve the custom method for future investigations.

The output is a structured risk object, not a dashboard view.

The interface remains simple because the analytical work is already defined.

Each result includes a base position, directional pressure, confidence level and the underlying evidence set. This allows teams to review, validate and rerun the same investigation as conditions change.

PostureBase read, confidence and direction of change.
DriversRanked signal drivers moving the forecast, with uncertainty attached.
WatchpointsEvents that would confirm, weaken or reverse the read.
SaveSaved report for repeat monitoring; bespoke workflow only if the team needs one.
The difference is the archive

Noah measures change because the signal is already structured.

The interface is simple because the data work has already happened. Noah can interrogate live and historical public signal: news, official updates, filings, local reporting, trade press and translated sources. The user sees the prediction, not the plumbing.

Live layerFresh evidence keeps named-entity answers current.
Archive layerHistorical signal turns today’s story into movement.
Proof layerNoah Wire shows the system is reading the world.
Live examples from the underlying signal environment
WIRE
Moody’s explores pooled insurance-linked securities structures to diversify investor accessMarket structure, insurance capital and regulatory signal become source material, not a news destination.
15 Apr 2026
K&R
Spanish police capture last suspect in Ledger co-founder kidnapping after months on the runSpecialty-risk reporting feeds exposure reads, event timelines and emerging threat patterns.
15 Apr 2026
LEGAL
California court narrows removal window in post-judgment insurance disputesLegal movement can be routed into carrier, claims, regulatory and compliance intelligence.
15 Apr 2026
BESPOKE
Custom workflows are available when premade prediction is not enoughThe default experience stays simple: run the exposure, receive the read, save the report when it matters.
Feature
Different from traditional intelligence

Not a cheaper analyst. A different category.

Traditional intelligence samples information. This system measures the full signal environment.

Traditional approach

Commission, wait, read.

  • Commission a report
  • Wait days or weeks
  • Sampled information
  • One-off conclusion
Noah Predict

Measure, return, rerun.

  • Ask any question instantly
  • Continuous measurement
  • Full signal coverage
  • Structured, rerunnable output
This is not a faster report. It is a different category of system.
Access

Start free. Scale into professional predictive intelligence.

Noah is free to try during beta. Professional plans unlock deeper investigations, saved reports, exportable packages, premade prediction workflows and higher-capacity analytical runs. Enterprise plans support regulated teams, bespoke workflows and private deployments.

Equivalent to hours of analyst work per query, available instantly.

Pricing is based on investigation credits, analytical depth, seats, saved reports, PDF/data packs, API usage, bespoke workflow depth and enterprise controls. Noah supports decisions; it does not replace investment, legal, underwriting or insurance judgement.

Individual plans
Beta access
Free Beta
£0/month

For first trials and lightweight investigation.

  • Limited monthly investigations
  • No card required during beta
  • Core analytics workspace access
  • Useful first-pass outputs
Start free beta
Pro Analyst
£99/month

For individual analysts, investors, consultants and prediction-market users.

  • More monthly investigations
  • Saved reports for repeat exposure reviews
  • Core premade prediction workflows
  • Market-edge and company-watch workflows
Start free beta
Analyst Plus
£249/month

For serious professionals who need deeper investigations and richer packages.

  • Higher-capacity investigations
  • More saved reports and deeper workflows
  • PDF reports and data packs
  • Premium analytical passes
Start free beta
Team & enterprise plans
Team Desk
from £950/month

For small risk, strategy, underwriting or investment teams.

  • Shared reports and team workspace
  • Admin controls and pooled credits
  • Named saved reports and shared workflows
  • API keys for team workflows
Talk to us
Private systems
Enterprise Annual / Private Deployment
from £75k/year

Annual enterprise starts from £75,000. Dedicated private-cloud or behind-firewall deployment starts from £250k/year.

  • Workflow controls, support and auditability
  • Custom configuration and approved data sources
  • Private deployment and controlled-key options
  • Dedicated data feeds and system integration
Enterprise options
How pricing scales
You are buying predictive analytics capacity, not generic software seats.

A Noah investigation can involve premade risk workflows, multiple signal lanes, current-event checks, physics scoring, package generation, saved-report replay, bespoke methods and exportable evidence objects. The commercial ladder reflects how much depth, repeatability, governance and integration a team needs.

  • Credits reflect investigation depth and workflow complexity, not message count.
  • PDFs, data packs and API usage increase capacity requirements.
  • Enterprise controls add audit, roles, support and configuration.
  • Private deployments can use customer-approved data and environments.

Noah Predict provides predictive intelligence from public signal and customer-approved data. It is decision-support software, not financial, legal, underwriting, insurance or investment advice.

Build the prediction workflow your team needs to run again.

Open the workbench
noah-predict-package · evidence bundle
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