AI research assistant for source-grounded document analysis | Helping researchers and teams to build clarity from the chaos of complex knowledge

San Francisco, CA
Joined April 2023
A better model makes fewer mistakes. A source on the exact page lets you catch the rest.
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Sharly now runs on GPT-6.
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Research is hard in specific places: methods sections, statistics, results that disagree across papers.
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That's where Sharly on GPT-6 now does its best work. Every claim is still sourced to the page.
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Sharly now runs on GPT-6.
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You get sharper reading of dense papers and fewer factual mistakes, and every answer still links to the exact page it came from.
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Most AI tools answer from somewhere on the internet. Sharly answers from your files and shows you the page.
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Sharly answers only from the documents you upload. Every claim has a numbered source that opens the exact page. If you can't check it, you can't cite it.
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Existence checks are now standard; support checks are not.
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Universities can't let their researchers and students use AI on academic documents because nothing they get back is verifiable or governed.
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Sharly is source-grounded AI for documents that institutions can deploy campus-wide with admin control.
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Most AI tools can't be cited. They don't show where an answer came from, and there's nothing for a reviewer to check.
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Sharly is built for the methods section: passages you can verify, and a technical note with a DOI describing exactly how it works, limitations included.
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Dozen published papers, theses and preprints already refer to Sharly — but there was no canonical way to cite it.
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Now there is: a technical note with a DOI, plus every one of those works listed with its link.
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Sharly is now citable.
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A technical note on Zenodo describes how it works, what it does, and its limits — with a DOI you can put in your reference list.
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