AI for literature reviews that cite back.
Turn a stack of papers into a structured, sourced review. Synthesise the reading into a summary that surfaces agreement and disagreement, search across everything you've collected, and keep every claim linked to its citation.
Organise the corpus[1]
Synthesise with citations[2]
Search across the reading[3]
Keep the versioned record[3]
What you can do
Four moves, one workspace.
The concrete work behind "ai for literature reviews" — not a feature list.
Organise the corpus
Bring the papers into one notebook; branch threads by question or theme so the structure matches the review.
Synthesise with citations
Draft a synthesis that puts agreement on top and surfaces where the literature conflicts — each claim linked to its paper.
Search across the reading
Semantic search over the whole corpus: find the finding, the method or the quote without re-skimming every PDF.
Keep the versioned record
File the review and its sources so revisions branch from a versioned base rather than overwriting the last draft.
What it reads against
Education work is only as good as its sources.
The reference collections this job draws on. Each is a page you can open and read before you trust a single answer.
What a programme actually teaches, read from the institution rather than a directory's summary of it.
Product manuals and book-length texts read page by page — including the ones published only as documents.
Open-access research read in full — with the datasets a finding rests on kept alongside the write-up.
The settled account of a subject, read from the maintained entry rather than a copy of it.
Collections are libraries the workspaces read from, kept as what they are rather than flattened into one pile. See the full collection breakdown.
The stack under the work
The workspaces this job runs on.
Listed in the order the work moves through them, each carrying its live status.
Example workflows
What it looks like end to end.
Thematic review
Group the corpus by theme, draft a synthesis per theme with citations, and surface the open questions where the literature disagrees — the skeleton of a review section in an afternoon.
Gap-finding pass
Ask across the corpus what hasn't been studied — where the methods are thin or the findings conflict — to point the next piece of work at a real gap.
Questions
Frequently asked.
- Can askFinz summarise academic papers with citations?
- Yes. Bring the papers into a notebook and the workspace drafts a synthesis that keeps each claim linked to the paper it came from, so the review is traceable rather than paraphrased away from its sources.
- Can I search across all my papers at once?
- Yes. Everything you collect becomes a semantic index, so you can find a finding, method or quote across the whole corpus without re-reading each PDF.
- Does it keep versions as I revise?
- Filed reviews and sources are versioned, so each revision branches from a stable base instead of overwriting the previous draft.
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For researchers
Put it to work.
Request private access and we will walk through the workspaces this job runs on.
- workspaces in access
- 3 workspaces in access
- worked examples
- 2 worked examples
- reference collections
- 4 reference collections
Browse the rest of the catalog at /apps.
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