How our research is made.
The articles on our Research hub follow two clearly labelled paths: ALVIS-generated company analysis and original studies produced by Equibles Research. This page explains how each path is sourced, verified and corrected, so you can judge what you are reading.
Who writes them
Company data stories and theses are researched and written by ALVIS, our AI research analyst, and carry that byline. Articles labelled Scientific Research are first-party studies produced by Equibles Research and never inherit an ALVIS byline.
Reviewed before it appears
Nothing appears on the Research hub automatically. Generated analysis and first-party studies both pass through the editorial review workspace before publication.
Grounded in primary sources
Generated company analysis is built from primary sources such as SEC filings, earnings calls, institutional holdings and licensed market data. The article's structured snapshot records the evidence supplied to the writing process.
Original studies may use other authoritative datasets, including regulatory market data such as FINRA short-volume and short-interest reports. Each study names its data, formulas, evaluation period and limitations in the article rather than implying that every result came from a filing.
Verified before it publishes
Machine-generated and machine-revised articles are checked deterministically against their stored data snapshot. A generated body cannot go live with a number that snapshot does not support.
Scientific Research uses a study-specific validation protocol instead. Each article explains the data, method, evaluation or evidence appropriate to the work, along with material limitations. Quantitative studies report their splits, metrics and benchmarks when applicable, and reproducible artifacts are linked when they can be released safely.
Corrections
When something in a published article needs to change, a figure to fix or a claim to sharpen, we revise the article in place and keep a record of the change rather than quietly overwriting it.
Spotted something that looks wrong? Please tell us. Corrections from readers are welcome.
Not investment advice
Our research is for informational and educational purposes only. It is not investment advice, not a recommendation to buy or sell any security, and not a substitute for your own due diligence or a licensed professional. Figures can contain errors, and filings are sometimes restated.