From data to decision.

Noah operates as a five-stage pipeline. The same five stages run on every question, in the same order, with the same doctrine. What changes is the corpus slice and the output persona.

1. IngestContinuous collection across roughly 1.6 million sources per refresh — wire services, regional and local publications, trade press, government filings, academic pre-prints, sanctions registries, official advisories, non-English sources translated.
2. ClassifyEvery paragraph of every article read by an AI classifier. Sentiment, entity resolution, claim extraction — all at paragraph level, not article level. A single 800-word article produces 6–12 structured signal units, not one flattened score.
3. ScoreThe physics layer. Velocity, trajectory, divergence, volatility and coupling computed against rolling baselines. Deterministic Python, not an LLM guess. Each signal carries a scorecard; each scorecard carries its basis.
4. ReduceProgressive narrowing. A macro pass flattens a large universe into a single direction; a mid pass curates 300 items to find divergences; a granular pass drills into 30 to name specific findings. The user never sees “pass N” — that is plumbing.
5. RenderPersona-locked output. An underwriter and a trader get different framings of the same signal; both are correct, both traceable. Every bundle ships with the doctrine, the pass log, the six external anchors and the full evidence trace.

If the question sits outside our benchmarked verticals, Noah does not fake a number. The operator acknowledges the brief, describes the pipeline that would answer it — specific feeds, specific intelligence measures, specific output shape, named unknowns — and invites you to narrow or run it as exploratory.

The domain is open: political risk is where Noah is tuned today, but the corpus covers any publicly-reported topic. Disease outbreaks, product safety (battery fires, recalls), supply-chain disruption, regulatory action, environmental events, prediction markets, company watch. If public reporting produces signal, Noah can work it — and will say plainly when an answer isn’t possible from public data.

Every bespoke brief is logged. The pattern of what clients ask shapes what the product becomes next.