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Sharper for research teams

Research that cites every source.

Turn a stack of papers into a cited literature review, get grounded answers across all your files, and compare documents side by side — every finding traced to its source.

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Every claim links back to the exact passage it came from, so you can verify each finding — no guessing, no black box.

One prompt. Finished work.

Ask in plain language. Sharper researches your sources and builds work you can review, edit, and reuse.

  1. Literature review

    From a stack of papers to a cited literature review

    Upload a set of papers. Sharper understands each one, maps how the ideas connect, and synthesizes a cited literature review you can build on.

    See how it works
    A constellation of ten research papers with the pretraining evolution from BERT to LLaMA traced in blue, beside a generated related-work section with citations

    Synthesize these papers into a cited literature review.

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  2. Knowledge base Q&A

    Grounded answers across all your files

    Build a knowledge base from your documents, then get answers grounded in the source — every claim linked to the exact passage it came from.

    See how it works
    Sharper knowledge graph connecting uploaded research papers, handbooks, and extracted concepts

    Answer this question using only our internal documents.

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  3. Comparative analysis

    From scattered documents to a side-by-side comparison

    Turn a set of proposals or reports into a structured, side-by-side comparison, with every data point traced back to its source.

    See how it works
    Six fanned vendor proposal documents flowing into a ranked comparison matrix with citation markers on every cell and the winning vendor highlighted

    Compare these proposals side by side and cite each figure.

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Frequently asked questions

Answers to common questions about how Sharper works with your sources and deliverables.

How are answers kept grounded and verifiable?

Every answer is tied to the exact passage in your sources, so you can check each claim. When Sharper searches rather than reading a full file, it cites the retrieved passage.

What file types can Sharper analyze?

PDFs, Word documents, spreadsheets, presentations, and webpages — it reads across all of them and synthesizes one traceable deliverable.

Can it compare several documents at once?

Yes. Point it at a set of reports or proposals and it builds a structured, side-by-side comparison with every data point traced to its source.

Is our data used to train AI models?

No. Your documents are used only to answer your questions — never to train foundational or generalized AI models.

Put your next research workflow to work.

Start with the sources you trust, then ask Sharper for the outcome you need.

Start working