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The AI systems behind a mining investment publication

AI-assisted research behind reports and a daily letter

About a week of research per report, now gathered by the system.

Checked by an editor before anything goes out. The data stays current because the system pulls it live, instead of someone chasing it by hand.

Market datalive prices and filingsFinance data serviceone source the agents trustResearch agentsgather, check, scoreEditor checkpointa person approves each stagePublishedreports and newsletters
  1. Market datalive prices and filings
  2. Finance data serviceone source the agents trust
  3. Research agentsgather, check, score
  4. Editor checkpointa person approves each stage
  5. Publishedreports and newsletters
The problem
A fast-moving market and a small team. Each report took about a week of pulling data and writing it up, and the numbers moved while it was being written.
What runs now
Quest & Query runs and develops the AI research systems behind the publication.
The outcome
A person reviews and approves everything before it's published, and every number and fact traces back to its source.
Research reports
Live market data gathered, checked and scored, so the quarterly reports and monthly updates start from current numbers.
A daily e-letter
The day's market research pulled together and ready for the editor every weekday morning.
A research library
Expert interviews, emails and articles, screened on the way in, so every claim can cite its source.
A private workspace
Where the team works with the research tools, hosted in Canada.

A reference from the publication is available on request.

Read the case study: PaperThoughts

Get in touch

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