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Your manuscript makes your review better. It never makes any AI model better.

Waraq gets better the way a good editor does: by refining its rules, its questions and its judgement. Not by feeding your paper into a model.

What we improve

The reviewer, not the model

01
The deterministic rule set
The rules that check structure, citations, statistics, reporting standards and journal guidelines. They are written and revised by people.
02
Our instructions and question templates
The instructions we give the AI models that help write your review. Text we write; never text you wrote.
03
Evaluation fixtures
Built from public open-access papers, and from papers whose authors gave explicit written consent. Nothing else enters the fixture set.
04
Routing and budgets
How the work is distributed across our review steps, and how much each review may cost.

What we never do

No training. No sharing beyond the review. No selling.

Train on your manuscript
We never train, fine-tune, distil or evaluate-for-training any AI model on your manuscript, findings, questionnaire answers, chat or feedback. Ours or anyone else's.
Share it for anything but your review
AI model providers receive sections of your text for one purpose: generating your review. Each is bound by a Data Processing Addendum and API terms that forbid training on it. Your paper is never handed to a third party for analysis.
Sell or advertise with it
We do not sell your data, in the ordinary sense or in the sense used by US state privacy laws, and we do not share it for targeted advertising. No advertising pixels.

How your text travels

Four stops, each with a retention clock

From upload to review, this is where your manuscript goes and how long each stop keeps it.

  1. 01

    Your file

    You upload a manuscript over TLS. It is stored encrypted at rest (AES-256, a key per file, wrapped by a server key that lives only in our service configuration) on a server in the EU, and never made public. Every open of the file is logged, and you can read that log on the paper page.

    Original kept 180 days after the last review activity. Reviewed file kept 365 days. Or until you delete the paper, which removes every file and version at once.

  2. 02

    Our server (EU)

    A virtual server in the European Union runs the rule engine, the workflow and the database. Nobody reads your paper as part of the normal service; a small Waraq team may open a paper and its review to improve the service, in-house and under confidentiality, and that open appears in your log.

    Server logs and job traces rotated and pruned within 90 days. Nightly backups, encrypted with a key held offline, kept 14 days.

  3. 03

    AI model providers, via our routing layer

    Sections of your text leave through a single routing layer to third-party AI model providers, for one purpose: writing your review. Payload logging at the routing layer is off; only metadata (timing, tokens, cost) is recorded. No one analyses your paper for us; the only analysis is our own, in-house.

    Providers may keep API inputs for up to 30 days for abuse monitoring. None may train on them.

  4. 04

    Your review

    Findings, a score, a reviewed file with tracked changes, and reports. They are yours to use, publish or share, without attribution.

    Until you delete the paper or your account. Deletion is immediate on live systems and clears from backups within 14 days.

Who receives manuscript text

Every provider, bound by the same rule

To write your review, parts of your text are sent to third-party AI model providers through a single routing layer, under contracts that prohibit training on your text and limit retention to short abuse-monitoring windows. We do not name individual providers publicly because our review pipeline and model choices are proprietary; the categories and safeguards are the same for every provider.

Privacy in short

Four questions, four straight answers

01
Where is my file stored?
On our server in the EU, encrypted at rest. Only your account and the review pipeline open it, and every open is logged for you.
02
Is it used to train AI?
Never. Not by us, not by any model provider. Sections go to AI models through our routing layer only to write your review, under terms that forbid training.
03
Who at Waraq can read it?
Normally no one. A small Waraq team may open a paper and its review to improve the service, in-house and under confidentiality; that open appears in your log. It is never handed to a third party for analysis.
04
When is it deleted?
Whenever you delete it: instantly, files and versions alike. Otherwise originals after 180 days and reviewed files 365 days after the last activity. Backups clear within 14 days.

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