Your thesis,
defended on real data.
From protocol to submission. Eight agents do the work. Every citation verified. Your patient data is processed by Python — never by AI.
Watch eight agents draft your thesis, live.
A dashboard, not a chat. Every agent's progress is visible. Every output is yours to approve before the next step begins.
Open dashboardPick what your thesis needs today.
At the protocol stage, mid-study, or sitting on a finished dataset — there's a service for exactly where you are.
Enter your topic, medical area and research location. The protocol-maker searches similar literature, calculates sample size, drafts the full protocol, and creates the IEC documents in your uploaded university format where possible.
- Full protocol with objectives and methodology
- Sample size from similar published articles
- Participant Information Sheet (ICMR format)
- Informed Consent Form with sign-off blocks
- Data Collection Proforma from your variables
Upload your protocol — get a full ROL with real, verified references from PubMed, Europe PMC & OpenAlex, a PRISMA flow diagram, and the source PDFs with your cited passages highlighted.
- 100+ genuine, verified references
- You approve the outline before writing
- PRISMA flow & publication-trend figures
- Source PDFs with highlighted passages
- Vancouver / APA / Harvard / AMA styles
The only engine that works AFTER data collection: upload your protocol and Excel sheet — it cleans the data, runs the right statistics, writes Results with tables & charts, debates your findings against the literature, and compiles a submission-ready DOCX.
- Everything in ROL + Protocol Package
- Automated data cleaning & de-identification
- Real statistics (chi-square, t-tests, p-values)
- Results chapter with tables, charts & captions
- Discussion compared against published studies
Introductory pricing
Most tools stop at the protocol.
We start where your data begins.
Synopsis generators write a literature review and call it done. Your thesis lives or dies on the chapter they can't touch — Results.
You approve every step.
Nothing is generated behind your back. Eight specialised agents do the work, but every output gates on your sign-off.
Start from your protocol
Upload your approved synopsis. The engine reads every field — you review and correct before anything runs.
Approve every decision
Outline, cleaning, variable mapping, chart style. Nothing is written until you sign off.
It writes — and verifies
Eight agents draft chapter by chapter. Every citation is checked against the source record.
Download, submit, defend
A formatted DOCX with the highlighted source PDFs and an originality report.
Built like a research engine.
Three guarantees that separate a verifiable thesis from a fluent hallucination.
Your data never touches AI
Patient data is de-identified, cleaned and analysed entirely by Python. No language model ever sees it.
No fabricated references
Every citation is harvested live and verified against PubMed and Europe PMC. Fabrications are flagged, never hidden.
Real numbers, not guesses
Chi-square, t-tests and p-values are computed by scipy and pandas — never invented by a language model.
The questions your
guide will ask.
No fine print. You stay the author of your work — Pythesis is the research assistant that earns the citation.
Are the references actually real?+
Yes. The engine searches PubMed, Europe PMC, OpenAlex and Semantic Scholar live, then verifies every citation against the source record. Anything it can't confirm is flagged in your originality report — we never paper over a fabricated reference.
Is this plagiarism? Do I stay the author?+
You remain the author of your work. Pythesis drafts from real, cited literature and your own data, runs an originality and AI-likeness check, and gives you full control to edit every line. It is a research and writing assistant — not a way to pass off someone else's work.
Does it work with my own hospital data?+
That's the whole point. Upload your Excel sheet and the engine de-identifies, cleans and analyses it — all with Python, not AI — then writes a Results chapter with real tables, charts and statistics. Most tools stop at the protocol — we start where your data begins.
Is my patient data safe?+
Absolutely. Your Excel sheet is processed entirely by Python scripts on our secure servers. Patient data is de-identified first and never leaves the data pipeline. No patient information is ever sent to any external AI model.
What does the multi-agent task force do?+
Eight specialised agents handle different parts of your thesis — a research harvester, data cleaner, statistics engine, humanizer, plagiarism guard, writer, formatter and verification agent. Each does one thing exceptionally well, and you approve their output at every stage.