Direct comparison
Elicit vs. SciSpace Compared
Elicit extracts structured data tables from papers; SciSpace Deep Review drafts a narrative synthesis. Compare corpus size, verified accuracy, and cost.
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How do Elicit, SciSpace (Deep Review) compare side by side?
The table below compares Elicit, SciSpace (Deep Review) across 8 procurement-relevant dimensions, from developer through best fit.
Side-by-side comparison
| Dimension | Elicit | SciSpace (Deep Review) |
|---|---|---|
| Developer | Elicit PBC (spun out of Ought, a nonprofit ML lab, 2023) | SciSpace (formerly Typeset.io) |
| Core output | Structured extraction table — one row per paper, sortable/filterable columns | AI-drafted narrative synthesis paragraph with thematic grouping |
| Indexed corpus (self-reported) | 138M+ papers | 280M+ papers, incl. 50M+ open-access PDFs |
| Systematic-review workflow | Dedicated title/abstract and full-text screening, PRISMA 2020-aligned | Not a dedicated systematic-review screening tool — positioned for scoping/orientation |
| Independent accuracy studies | Two peer-reviewed studies (Lau & Golder 2025; Lagisz et al. 2026) — sensitivity ~39-40% vs ~94.5% traditional search, extraction ~69-78% accurate on held-out articles | None published as of this writing — only the general RAG hallucination-risk caveat applies |
| Vendor-reported accuracy | ~95% search recall, 97% abstract-screening, 99% full-text-screening, 96% extraction (vendor's own validation, not independent) | Not published as a specific accuracy figure |
| Pricing (reported, verify live) | Free Basic; Pro ~$49/mo; Scale ~$169/mo; Enterprise custom | Free Basic; Premium ~$12-20/mo; Advanced (unlocks Deep Review) ~$70-90/mo; Team per-seat |
| Best fit | Building a sortable data-extraction table across many papers for a review or protocol | Fast, readable first-draft synthesis to get oriented in an unfamiliar literature |
Common questions
Common questions about Elicit vs SciSpace (Deep Review)
Can Elicit or SciSpace replace a PRISMA-reported systematic review search?
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No. Neither produces the pre-specified, reproducible search strategy across named databases with documented dual screening that a PRISMA-compliant review requires. Elicit's screening workflow is the closer fit to that process, but both tools' independently-measured accuracy (where it exists) shows they still need human verification at every stage.
Why does Elicit have independent accuracy studies but SciSpace doesn't?
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Elicit's systematic-review-style screening and extraction claims drew academic scrutiny because that's exactly the workflow methodologists study and publish about. SciSpace's Deep Review is newer and positioned more as a general synthesis aid, which hasn't yet drawn the same kind of peer-reviewed benchmarking — that's a gap in what's been tested, not evidence either way about which tool is more accurate.
Which tool gives a cleaner output for a systematic review's data-extraction form?
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Elicit's Tables feature is built specifically for that: a sortable, exportable grid with one row per paper. SciSpace's Deep Review returns prose, which would need to be manually restructured into a table.
Do both tools cite their sources?
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Yes — both use a retrieval-augmented approach that grounds output in passages from indexed papers with inline citations, rather than answering from unsourced model memory. Citation-backed does not mean citation-guaranteed-accurate; verify any claim against the primary paper before relying on it.
