Methodology

How Quettor Works

From millions of digital conversations to strategic human insights.

01

Scan

Monitor millions of digital conversations across multiple sources.

02

Detect

Identify emerging weak signals.

03

Filter

Remove noise using proprietary intelligence models.

04

Cluster

Group related signals into behavioural patterns.

05

Validate

Verify novelty, recurrence and strategic relevance.

06

Transform

Convert validated evidences into Signals, Patterns and Insights.

07

Deliver

Provide intelligence before most organisations recognise the change.

See the Signal → Pattern → Insight framework in action, with a real example, on Signals, Patterns & Insights.

Questions about evidence and sources

How does Quettor find information?

Quettor combines continuous observation of public sources, targeted research and evidence checks. Only observations that meet its evidence rules become Signals, Patterns or Insights.

Are my questions or topics evidence?

No. A topic or question tells Quettor where to look. It never becomes evidence itself.

How does Quettor handle sources?

Quettor keeps every piece of intelligence traceable to its evidence and applies source-quality and source-integrity rules. A source that is unsupported, invalid or still under review is never presented as verified evidence.

Can I see the sources?

Yes. Evidence transparency is part of Quettor: where available, a Signal shows its supporting evidence and representative original sources, and its evidence state (Verified, Emerging or Detected).

Is Quettor a news site?

No. Quettor does not reproduce news. It looks for changes in behaviour, connects the evidence behind them and turns it into Signals, Patterns and Insights.

Is Quettor generative AI?

Quettor uses AI as part of its research and intelligence system, but it is not a chatbot that generates answers from a prompt.

Its value is the intelligence it keeps building: evidence-backed Signals, Patterns and Insights, and the connections between them.