Trace the source
Follow a claim back from the version you read to the party that first put it into the world, and note what changed along the way.
AI powered claim and incentive analysis
Who benefits? Find out.
Quibono analyses a claim, traces who is making it, who funds them and who gains if you believe it, so you can decide with your eyes open.
Quibono does not tell you what to think. It shows you who stands to gain, and what to ask next.
Map the incentives
Identify who funds the messenger, which contracts or holdings are in play, and which relationships are disclosed rather than assumed.
Weigh the evidence
Separate the measured from the modelled, flag circular citations, and record what a claim would need in order to be checked.
Decide with clarity
Leave with a short, plain summary and a list of sharper questions, rather than a verdict handed to you by a machine.
Claim analyser demo
Put a claim under the glass.
Choose an example claim, then press Analyse. Outputs below are written in advance to illustrate the format of a Quibono analysis.
Example claims
Analysis
Demonstration outputNo analysis yet. Select an example claim and press Analyse.
How it works
Four steps from a sentence to a sharper question.
- 01
Paste the claim
A sentence from a press release, a minister's statement, an analyst note or a product page. Quibono works on the wording as published.
- 02
Quibono traces it
The claim is matched against earlier appearances, ownership and funding records, and disclosure filings to find where it originated.
- 03
Incentives are mapped
For each party, Quibono sets out what changes for them if the claim is widely believed, and marks where a relationship is inferred rather than documented.
- 04
You get a briefing
A restatement in plain English, the parties involved, an evidence strength estimate, and the questions a careful reader would ask next.
Methodology
Four lenses, applied in the same order every time.
Lens 1
Source
Where the claim first appeared, in what form, and how the wording shifted as it was repeated. Quibono records the earliest version it can find and keeps the chain visible.
Lens 2
Funding
Who pays the party making the claim: owners, sponsors, grant bodies, commissioning clients. Documented relationships are separated from inferred ones and labelled as such.
Lens 3
Incentive
What materially changes for each party if the claim is accepted. Not motive attributed to individuals, but the structural gain that sits behind the message.
Lens 4
Evidence
Whether a figure was measured or modelled, whether the method is published, whether independent parties reach the same result, and where citations loop back on themselves.
Transparency statement
Every analysis names the lens each finding came from and marks whether a link is documented, reported or inferred. Confidence is shown as a range, never as a certainty. An analysis is a starting point for your own reporting or research, not a substitute for it, and Quibono makes no judgement about whether any party has acted improperly.
About the name
cui bono — for whose benefit?
A very old question, asked faster.
Quibono is a stylised reference to the Latin cui bono, meaning for whose benefit, or who benefits. It is the question Roman advocates put to a court before examining any account of events, and the question a careful reader still puts to a press release.
We shortened and softened it into a name you can say out loud: kwee-BOH-noh. The brand keeps the discipline of the original, which is to ask about interest before arguing about conclusions.
Example scenarios
Who this is for.
Illustrative situations written to show where an incentive analysis helps. They are examples, not accounts of real users.
Journalists
A figure lands in your inbox an hour before deadline. You want the earliest version of it and the funding behind the messenger before you decide whether to quote it.
Policy analysts
Twelve submissions arrive on one consultation. You need to see which arguments share a source and which interests sit behind each framing.
Investors and researchers
A market forecast appears in three decks in one week. You want to know whether that is three data points or one, cited three times.
FAQ
Reasonable questions about a tool that asks questions.
Join the waitlist
Be first to put a claim under the glass.
Tell us how you would use Quibono and we will shape the early release around the work that needs it most. No newsletter, no sharing of your details.
Demo form — submissions are not stored or sent anywhere.