Free to try · No account required

Improve Research Quality
Before Submission.

ResearchOS helps students, researchers, and supervisors identify weaknesses in papers, theses, datasets, and research workflows — before they become reviewer comments.

Built by researchers at

TU Dortmund UniversityLamarr Institute for ML & AIUniversity of Hamburg
ResearchOS — Research Quality Platform product preview showing 6-dimension review, supervisor feedback, and research memory

The problem

These reviewer comments are preventable.

ResearchOS identifies these issues before submission — so they never reach a reviewer.

Insufficient novelty framing.

Typical reviewer comment

Methodology lacks justification.

Typical reviewer comment

Missing citations for key claims.

Typical reviewer comment

Reproducibility unclear.

Typical reviewer comment

ResearchOS identifies all of the above before you submit.

Who it helps

Designed for every stage of research.

ResearchOS does not replace supervision. It reduces repetitive feedback cycles and improves research quality at scale.

🎓

MSc Students

  • Thesis feedback
  • Structure review
  • Defense prep
  • Writing check
🎓

PhD Candidates

  • Literature gaps
  • Methodology critique
  • Reviewer simulation
  • Viva readiness
🔬

Research Associates

  • Paper review
  • Reproducibility audit
  • Dataset docs
  • Venue feedback
🏛️

Professors

  • Consistent feedback
  • Student progress
  • Draft screening
  • Quality workflows
🔗

Research Groups

  • Knowledge preservation
  • Institutional memory
  • Dataset catalogue
  • Multi-user access
🏫

Universities

  • Scalable supervision
  • Research quality KPIs
  • Reproducibility standards
  • Lab onboarding

How it works

From draft to submission-ready in 5 steps.

📄01

Upload your draft

Thesis chapter, paper, proposal, results section — any format

🔍02

Quality dimensions scored

6-dimension structured analysis in seconds

🧠03

Weaknesses identified

Missing citations, methodology gaps, reproducibility issues

📋04

Reviewer simulation

See how a journal reviewer would evaluate your work

05

Submission-ready

Confident your work meets academic standards

Research quality dimensions

6 dimensions. Every review.

The same structured framework your supervisor uses — delivered in seconds, with explanations.

1
Structure8.0
2
Citation Support7.5
3
Methodological Rigor8.5
4
Novelty Framing7.0
5
Reproducibility8.0
6
Academic Writing7.5

Example scores — illustrative only

Overall score

7.8 /10
Revise before submission

⚠️ Major concerns

Clarify research gap in Introduction — reviewers will challenge this.
Add more recent citations (2022–2024) — the literature review appears outdated.
Methodology section needs more detail on validation protocol.

✅ Next actions

Strengthen related work section.
Add ablation study.
Address limitations explicitly.
Get your own review

Why ResearchOS

Not another AI writing tool.

ResearchOS does not generate your research. It reviews it — the way a real supervisor would.

ChatGPT / Generic AI
Generates text for you
Structured 6-dimension scoring
Reproducibility assessment
Reviewer simulation
Dataset documentation
Research memory across documents
Context-aware (abstract vs paper)
~Grammar & academic writing check
Venue-specific feedback
Ethical — never ghostwrites
ResearchOS
Generates text for you(ResearchOS reviews — never writes for you)
Structured 6-dimension scoring
Reproducibility assessment
Reviewer simulation
Dataset documentation
Research memory across documents
Context-aware (abstract vs paper)
Grammar & academic writing check
Venue-specific feedback
Ethical — never ghostwrites

For research groups & universities

Research quality infrastructure at scale.

📊

Consistent feedback standards

Every student receives the same structured 6-dimension evaluation — no supervisor inconsistency.

🧠

Institutional knowledge preserved

Research Memory captures methods, datasets, and outcomes across your group's history.

♻️

Reduced repetitive review cycles

Supervisors spend less time on elementary feedback and more time on high-level guidance.

📋

Dataset quality workflows

Every dataset submitted gets a reproducibility score and documentation audit.

📈

Visible research progress

Track how student drafts improve across revisions over time.

🔒

Privacy-first by design

Document content is not stored on the free tier. No LLM training on your research.

Platform modules

One platform. Three capabilities.

Core module
Live

AI Supervisor

Structured 6-dimension critique — abstract-aware, venue-specific, with reviewer simulation, before/after comparison, and review history.

Open →
Live

Dataset Hub

Dataset card generation, reproducibility scoring, metadata audit, missing field warnings, and documentation recommendations.

Open →
Beta

Research Memory

Extract methods, datasets, institutions, and results from your documents. Preserve institutional knowledge across your research group.

Open →

FAQ

Common questions.

Does ResearchOS write my research for me?

No. ResearchOS reviews, critiques, and helps you improve your own work. It identifies weaknesses before reviewers do. It never generates research content for you.

How is this different from ChatGPT?

ChatGPT generates text. ResearchOS reviews research quality. It scores 6 structured dimensions, simulates reviewers, checks reproducibility, and remembers your research history.

Do I need an account to try it?

No. The free tier requires no account. Paste any abstract, thesis chapter, or paper draft and receive immediate structured feedback.

Is my research data private?

On the free tier, document text is processed in memory and not stored. See our Privacy Policy for full details.

What file formats are supported?

Paste text directly, or upload .txt files. PDF and DOCX upload are available on paid plans.

Ethical by design.

Never ghostwrites

Reviews and improves. Never generates research content for you.

No false promises

No guaranteed acceptance. No plagiarism bypass. No automated grading.

Researcher-first

Built by active researchers. Designed to support — never replace — academic judgment.

Improve your research before submission.

Free to start. No account required. Paste any thesis chapter, paper draft, abstract, or results section and receive immediate structured feedback.

Built by researchers at TU Dortmund · Lamarr Institute · University of Hamburg