Let researchers use AI,
without the reputation risk.
Archon writes with researchers, not for them. It turns finished research into a submission-ready paper in your researchers’ own voice, with every citation and number checked. Responsible AI, and papers your integrity office can stand behind. Built over 14 years and 3,250+ papers through peer review.
Two ways to get a paper out, and your institution's name is on both
Every finished study faces the same two ways out — one slow, one risky. Here's what each one costs you.
Months of delay.
Formatting, chasing down citations, reference-checking, reshaping the manuscript for each journal's template — 100+ hours a researcher would rather spend on the next study. The work still gets published, just far later than it should.
Confidently wrong.
It reads well and looks submission-ready. But the citations don't resolve and the numbers aren't the ones in your data — the fluent kind of mistake that's hardest to catch. A double time-sink, once a correction or a retraction lands with your name on it.
A win-win for researchers, the institution and integrity
Your researchers already use AI to draft — that isn't reversible. Archon makes it work for everyone at once:
- Researchers winA submission-ready draft in a fraction of the time, in their own voice.
- The institution winsEvery citation and number checked and traceable, so nothing blows up later.
- Integrity winsAI-use disclosure and human authorship handled by default — nothing invented.
How Archon compares to a chatbot and to RAG
A chatbot like ChatGPT writes from memory. A tool like Google NotebookLM reads a few matching passages. Archon reads every source in full, locks it, and checks each fact against it — so the one left verifying every citation isn't you.
Archon does the heavy lifting, your researcher keeps the paper
A team of specialized agents carries the work from raw evidence to a submission-ready draft — each doing one narrow job, none allowed to invent. And it stops, by design, wherever a human decision matters.
Every fact is extracted verbatim and locked as one source of truth.
You approveQuestion, outline and method — put to you before a word is written.
You approveEach claim written from a frozen fact, in your voice — not a robot's.
A panel, including a devil's advocate, pressure-tests the draft and can stop it.
You read itCitations re-checked, figures reconciled, formatted to the journal.
You get an auditable manuscript. Whether it goes out is your call.
Your callWhere academics draw the line on AI, and where Archon draws it
Real responses researchers gave us about AI in scientific publishing, shared by role to protect privacy — the standard we build to, not an endorsement.
Integrity guarantees built into the system, not promised
A prompt can be ignored. Archon's rules can't — each one is enforced in code, and each leaves a trail you can inspect afterward.
Nothing is invented.
Every reference is checked against independent databases. If they don't agree, it's dropped — never guessed, never padded to look complete.
Every number traces to your data.
Facts are frozen before writing begins; no figure reaches the manuscript without a tag leading back to that frozen record.
An adversary tries to break it.
A devil's-advocate reviewer must file a genuine objection or justify why none stands. A critical finding forbids acceptance.
It stops rather than bluff.
What can't be verified is flagged and recorded as a gap. Archon halts instead of filling the hole with fluent, plausible prose.
A human clears every gate.
The system cannot advance past a checkpoint on its own. Only a person's decision — never Archon's — lets the work proceed.
Every agent is boxed in.
Each agent sees only the slice it's given — no free rein over your data. Independence is structural, not a promise.
What happens when researchers try it
Customer feedback, shared by role only to protect client confidentiality.
The team behind Archon
Archon is built to earn trust, not talk past skepticism — we set out to meet the bar the skeptics set.
Built over 14 years in scientific publishing. Before Archon, the team spent a decade in the trenches of publication support — guiding 3,250+ manuscripts into Scopus- and Web of Science-indexed journals, training thousands of researchers across disciplines, and running the editorial, statistical and language work that gets a paper past peer review. Archon is that craft, turned into a machine.
Generic AI writes for you, Archon writes with you
Same starting point, opposite contract with the truth.
Auditable AI-assisted writing across every department
Archon is built for the people accountable for both output and integrity — research offices, graduate schools, departments and research groups. Researchers publish finished work sooner, and every manuscript arrives with a trail your integrity office can inspect: disclosure-ready for IEEE, Nature and ACM, consistent across every department that uses it.
Faster throughput
Finished studies reach submission in weeks, not lost semesters — without adding headcount.
An audit trail, per paper
Every citation and figure traces to its source, ready for an integrity review at any time.
Policy-ready by default
AI-use disclosure and human authorship handled the way journals now require.
Anyone looking for a one-click paper generator. Archon won't help anyone publish research they haven't done, and it won't write past what the evidence supports. If that's the goal, we're the wrong tool, and we'll say so.
Six kinds of input, each one becomes a paper draft
Archon starts from finished work — never a blank page. Whichever door a researcher comes in, the input changes; the standard doesn't.
The skill packs, a lighter way in
Not every researcher needs the full system on day one. The skill packs are Archon's standards distilled into prompts that load into any LLM — ChatGPT, Claude or Gemini. A self-serve taste of how Archon thinks.
The packs are prompts you run yourself — Archon's standards, distilled. Start where it suits the researcher.
We don't keep your data, and no AI trains on it
Your manuscript, data and results are processed only to produce your paper, then let go. Nothing is stored with us afterward, and nothing you send is ever used to train a model.
Nothing is retained
Your files, data and drafts are used only for the work in front of them. Once your paper is delivered, we don't keep them.
No training, ever
Every model in the pipeline runs with training and data-retention turned off. Your work is never used to train an AI, or for any other purpose.
Processed, not harvested
Your material is used solely to write and check your paper — never mined, resold, or shared with third parties.
Read our website privacy information. Before sharing manuscripts or research data, contact us to agree the scope of work and any data-processing requirements.
See what Archon would publish from work your institution already has
A 30-minute call. Bring a thesis chapter, a dataset, or a manuscript that came back with reviews — we'll show you what comes out the other side, and, just as importantly, where it stops.