A mixture of models, cross-checked.
Every frontier model (Claude, GPT, Gemini, Mistral, Grok) alongside our own, routed per sub-task and made to check each other. No single-model bias.
Penelope.ai checks in seconds whether a Word manuscript meets a journal's submission requirements, and journals wire it into their own workflow. Explore Science reviews the research: the whole paper read by a panel of models, scored out of 100, with every reference checked against live databases.
Choose Explore Science when what you need to know is whether the work will survive review: the full manuscript read and cross-checked, a Calibre score out of 100 across eight fixed categories, every reference tested against the live literature, and each revision scored against the one before it. Penelope is a good desk check, free to the author on the journal pages that carry it, and it will find a missing funding statement faster than you will. Its checks ask whether a section is present, a count is inside the limit, a citation appears in the reference list. None of them asks whether the methods carry the conclusion, and that is the question a reviewer opens with.
Compared July 2026 · from Penelope.ai's own published materials
| Capability | ![]() | Penelope.ai |
|---|---|---|
| What it examines | The methods, results, argument and reference list, in any field | 30+ checks that a submission meets a journal's requirements: required sections and their titles, declarations, ethics statements, counts, referencing style, file cleanliness |
| Journal fitMatching a target journal and its submission system | Journal-independent; the review runs on any draft at any stage | Checks configured per journal by its editor and served inside the submission workflow for journals on Manuscript Manager, plus a public API |
| Turnaround | Up to 2 hours, because the models read the paper end to end and check each other before anything is written | Seconds; its BMJ Open case study describes authors emailed a link to their feedback within two minutes |
| Quality score | Calibre: eight scored categories totalling 100, rubric published | Pass or fail per check, criteria published; no score for the work itself |
| References | Every reference verified against live scholarly databases, including whether the source supports the claim attached to it | Citations matched to the reference list and back, plus style and ordering |
| Novelty | Novelty Check searches the live literature through Semantic Scholar and OpenAlex | Not among its published checks |
| Review engine | A panel of frontier models (Claude, GPT, Gemini, Mistral, Grok) plus our in-house Explorer One, each testing the others' reading of the paper | A natural language processing engine of probabilistic checks, each with its pass and fail criteria published; no language model named |
| Revisions | Every revision scored, with per-dimension movement shown draft to draft and co-authors able to join the workspace | Each upload checked afresh; no version-to-version comparison described in its published materials |
| Follow-up questions | Rosa answers questions on the paper, its review and your earlier work | An annotated report you read; no channel to put a question back to it |
| Other passes | Protocol and proposal, editorial and novelty passes, with plagiarism, AI-text and AI-figure detection as plug-ins | Reporting checklists from the EQUATOR library surfaced when relevant, and clinical trial registry IDs checked |
| Pricing | Free to start, then $49 buys one full-depth review outright; monthly plans from $99 if you are revising continuously | Free to the author for the checklist report on a participating journal's page, $9.50 for a track-changes Word file of suggestions on its demonstration journal; journals pay £750 to £4,850 a year by submission volume |
| Data policy | We do not train on your manuscript | Privacy policy covers cookies and usage data and does not describe what happens to an uploaded manuscript (last updated January 2019) |
90% rate a review on par with or better than the human peer review they have had.
Two in three rate it better. From 304 head-to-head ratings by researchers who had received peer review on the same paper. These are our own users, self-reported, which is worth knowing when you weigh them.
Most tools optimize for speed. Explore Science runs the engine we built to conduct original research autonomously, and points it at your manuscript: it reads recent literature in your field, checks every reference, and works through the paper the way a careful reviewer does.
The time is the method, not an overhead on it.
How a paper is scoredTime spent thinking about your paper
How long a review actually takes
Industry observation; self-reported vendor figures; Publons peer-review time survey, 2018.
Three pieces of the architecture do the work behind every review.
Every frontier model (Claude, GPT, Gemini, Mistral, Grok) alongside our own, routed per sub-task and made to check each other. No single-model bias.
Dozens of specialised agents work each review in parallel, each tuned to one dimension of analysis, spawning more when a section needs them.
Memory that holds your paper in context for the whole review, live verification of every citation, and novelty assessment. Built over years of autonomous science.
Penelope takes a Word file, reads it against a specific journal's author guidelines, and returns an annotated report: is there a dedicated ethical approval section with the title the journal wants, is a funder named, is the abstract structured with the subheadings PRISMA or CONSORT expects, are the figures numbered in ascending order, is the word count inside the limit, are there track changes or Endnote field codes still in the file. Every check links to the passage it fired on, and the pass and fail criteria are public. As a way of not losing three weeks to an editorial office bounce, it works, and on a journal page that carries it the report costs the author nothing.
What the list does not contain is a check on the research. No check reads the design, asks whether the sample supports the inference, or notices that the discussion claims more than the results earned. Explore Science runs at that level: methods, results and argument read end to end by several models that then check each other, and a Calibre score out of 100 across eight fixed categories, so the second draft can be measured against the first on the same axes rather than described as better.
Penelope's referencing checks are internal ones. Does every citation in the text appear in the reference list, does every reference get cited, is the style numerical or named as the journal requires, is the ordering right. Those are the errors a copy editor would otherwise chase, and catching them before submission is worth something.
None of them leaves the document. Explore Science resolves each reference against live scholarly databases and reports back whether the work exists, whether it is attributed correctly, and whether it says what the sentence citing it needs it to say. A reference list can be perfectly consistent and still rest on a paper that found the opposite result.
The product is sold to journals: £750 a year under 500 submissions, down to £0.80 a submission at scale, with the editor choosing which checks run, which are critical, and how the feedback is worded. Its natural home is the submit button, and journal-branded pages exist for titles including Access Microbiology and SPIE's Journal of Electronic Imaging. If your journal is on Manuscript Manager you may already be using it without having chosen it; Editorial Manager and ScholarOne are on a waiting list.
That placement is its strength and its ceiling. A check tuned to one journal's guidelines is useful at the moment you submit to that journal and inert before then, when the paper is still being argued into shape and the target may change. Explore Science works on the draft that has not been assigned a venue yet, and on the protocol before the study runs.
Its checks ask whether randomisation, blinding and sample size are addressed for experimental studies, and it points you to a reporting checklist from the EQUATOR library when one applies. That tests whether you said something, not whether what you said holds. Explore Science reads the analysis and reports where the design constrains the conclusions you can draw from it.
Journals on Manuscript Manager, journals that have set up a branded check page (Access Microbiology and SPIE's Journal of Electronic Imaging among them), and anyone integrating its public API, as Peerwith did. Editorial Manager and ScholarOne are listed as a waiting list. If your journal has not added it, its demonstration journal page still runs a generic check against common requirements. Explore Science needs nothing from your publisher.
Each check is tested against a set of manually labelled manuscripts and held to 90% or better, and the criteria are published per check, which is more openness than most tools in this space offer. It is a claim about a check firing correctly on the presence of a funding statement or a running head. It is not a claim about judgement, because none of the checks makes one.
Not currently. It checks Word files, prefers .docx, and will attempt to convert a .doc before processing; its FAQ lists LaTeX and PDF as planned formats. Explore Science does not require a Word file.
Claims about Penelope.ai reflect its own published materials; everything about Explore Science reflects what the platform does today. Sources: Penelope.ai home, features and journal pricing, Penelope.ai check list, Penelope.ai FAQ (file formats, accuracy testing), Penelope.ai demonstration journal (author pricing), Penelope.ai journal page, Access Microbiology, Penelope.ai journal page, SPIE Journal of Electronic Imaging, Live annotated report demo, Penelope.ai API documentation, BMJ Open case study (author feedback within two minutes), Peerwith API integration announcement, Cochrane-REWARD prize with the EQUATOR Network, Penelope.ai team, Penelope.ai terms (PNLP Limited), Penelope.ai privacy policy. Something out of date? and we will fix it.
Get started free