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Critical Thinking AI for constructive criticism and science evaluation

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Get actionable insights to improve your research.

Spot gaps, discuss with your team, and review plans to improve the work.

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Identify your strong points and weakest links.

Get a concise report you can share, benchmark against top standards, and define your next steps with confidence.

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Built by scientists, for scientists.

q.e.d is the developer of the first Critical Thinking AI platform designed for rigorous evaluation of research

Learn about q.e.d’s inception

“This is exceptionally powerful. It can create a new level of scientific integrity”

May

2025

“I was amazed by how good it was and struggled to believe that it was an AI rather than a human”

“I had a more rigorous, attentive, constructive and useful experience with q.e.d than with many of my peer reviewers in my 35+ years submitting papers”

June

2025

“I love it, the experimental critiques are spot-on!”

“I was amazed with the tool’s performance. It gave me Nature reviewers-level feedback on two different papers I uploaded”

Dr. Netanella Illouz Eliaz

Salk Institute

May

2025

“This is just what I was missing, it’s already highly valuable to the lab”

Dr. Meital Oren-Suissa

Weizmann institute

June

2025

“It identified the main gaps in our reasoning, very helpful!”

May

2025

“I was surprised by the system’s precision - it accurately captured the essence of my work”

Tel Aviv University

June

2025

“I'm impressed, the AI was very accurate at catching real gaps and suggesting logical (and mostly doable) experiments"

April

2025

“This should be in every research lab!”

Prof. Tom Schonberg

Tel Aviv University

June

2025

Your research is private and it stays that way.

We ensure your data remains confidential, and completely under your control.

q.e.d

June + July 

2025

blog

Our origin story

Summary

June 2025

We built q.e.d to scale scientific critical thinking, evolve evidence-based answers, and empower research decisions across disciplines and time.

Niv SM.

From Coverage to Precision

Summary

June 2025

GenAI evaluation presents persistent challenges across applications. Drawing from human reviews, we found that one metric could simultaneously measure a system coverage and at the same time be used to improve it’s percision.

Enav W.

Meir M.

We are a team of scientists and builders sharing a vision.

Niv Samuel Mastboim, MD

Builder

Oded Rechavi, Prof.

Scientist

Itamar Zigel

Builder

Enav Weinreb, PhD

Builder

Meir Maor

Builder

Lior Onn, PhD

Scientist

Mor Sela, PhD

Scientist

Efrat Goffer, PhD

Scientist

Michael Dynkin

Builder

Shay Hummel

Builder

Lilach Bien

Builder

Sagi Hammer

Builder

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