Undermind vs Elicit
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Undermind
Deep AI literature search that trades speed for near-total recall
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Elicit
AI research assistant for academic literature reviews
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| RECATOOLS Score | 7 / 10 | 7.6 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Paid | Freemium |
| Free tier | Free demo available | Basic: unlimited search + 2 automated reports/month; ~125-200M-paper corpus |
| Paid from | $9 per summary | Plus $12/mo; Pro $49/mo; Team $79/mo |
| Has API | ✗ | ✓ |
| Open source | ✗ | ✗ |
| Free to use | ✗ | ✗ |
| Users | 10k+ researchers | 200k+ researchers |
| Founded | 2023 | 2018 |
| Maker | Ian Fischer | Ought (non-profit) |
| Verdict | Undermind, a YC-backed startup from two MIT physics PhDs, runs successive adaptive searches over the scientific literature instead of one-shot keyword retrieval, reading full texts and chasing citation trails to approach... |
Elicit owns the literature-review niche: it searches 138 million papers, pulls methods, sample sizes and findings into structured comparison tables, and links every extraction back to source text, which makes verificatio... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.