
Noah Analytics replaces crude keyword and sentiment tools with a system that actually reads and reconstructs content. Instead of scoring polarity or counting matches, our models rebuild each news event into a clean timestamped record with full source provenance. This removes ambiguity and false positives and gives clients a level of accuracy and auditability that legacy tools cannot match.
Our analytics run on the same pipelines that power our global news engine. Every item is rewritten as new text, checked against multiple sources, and then converted into structured fields that reveal direction, momentum, impact and consequence. This means your reports and dashboards are built on complete evidence rather than assumptions or pattern matching.
RAGdoll supplies copyright safe, multi source reconstructed news for RAG and AI systems, giving teams instant access to billions of verified events in any niche. It is part of Noah Analytics and uses the same global infrastructure to provide clean structured intelligence for context, backfilling and real time signal detection.
Identifies missing coverage, uneven reporting patterns and blind spots across sectors or topics. This helps editorial and research teams understand where competitors are writing and where they are not.
Tracks external indicators that correlate with future change. These include filings, regulatory shifts, planning data, market movements and early administrative signals.
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Not a polarity score. We reconstruct the factual stance of an article and classify whether it implies improvement, deterioration, risk, confidence, doubt or instability. This avoids keyword traps and gives a true reading of the narrative.
Discover the latest news and trends in art, music, and culture. From emerging artists to established classics, we cover it all.
We cluster evolving themes across billions of historical records to show how issues rise, fall and interact over time, giving you a clear view of long term shifts rather than isolated events.
Legacy systems relied on keywords and surface polarity. They did not read the story. A headline that contained the word positive or strong might describe a decline or a failure. The result was inflated error rates, poor audit trails and insight that never aligned with the real world.
Noah Analytics does the opposite. We extract all factual claims inside the content, place them on a timeline, and reconstruct events using grounded retrieval. Each insight is linked back to the exact entries that created it, so you can trace every signal to its evidence.
This gives measurable improvements in accuracy, lower manual review and a clear audit path that meets modern compliance expectations.

Reports are built from the same structured analytical entries that sit beneath our news engine. A report can include real time charts, topic summaries, narrative signal scores, risk indicators and projections based on historical timelines.
Reports can be created automatically or prepared for human review. Clients can choose between;
Each report is fully traceable. Every point in your report links back to a timestamped entry with provenance. This creates a level of transparency that keyword and sentiment systems cannot provide.

Please reach us at contact@noahwire.com if you cannot find an answer to your question.
Noah Analytics offer sentiment, Gap Proxy, momentum, trend analysis and narrative movement monitoring. These measure not just tone but shifts in attention, pressure, trajectory and the underlying stories driving events.
Analytics update in real time. As soon as a new story, filing or signal enters the system, it is processed, scored and reflected across your dashboards.
We do not scan for positive or negative words. We read and understand each story in full, so our sentiment reflects the actual meaning rather than surface language. This avoids the classic problem where a keyword tool reports a positive score for a negative article or vice versa.
Keyword systems guess tone based on isolated terms, which is unreliable. We use models that interpret context, structure, causality and narrative, giving you accurate sentiment and signals even when language is subtle or inverted.
Yes. You can export raw scores, trend series, narrative clusters and complete analytic datasets in formats suitable for internal research, BI workflows and model training.
Yes. Everything we produce can be delivered by API directly into your dashboards, data warehouses, CMS workflows or custom tooling.
Our system reads each item in full, compares it against multiple independent sources and checks it using a separate verification model. This multi layer process reduces error and makes misread signals or false sentiment extremely unlikely.
Signals are derived from structured readings of each story, cross checked against historical patterns, momentum changes and independent premium feeds. This combines content level understanding with large scale statistical behaviour.
All analytics outputs are available in structured, machine ready formats. They can be ingested directly into retrieval systems, vector databases and AI pipelines, providing safe, copyright clean, multilingual intelligence for training or inference.
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