Undermind vs Perplexity AI
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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Perplexity AI
The answer engine that cites its sources on every live web query
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| RECATOOLS Score | 7 / 10 | 8.4 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Paid | Freemium |
| Free tier | Free demo available | Unlimited basic searches with standard model |
| Paid from | $9 per summary | $20/month (Pro); $200/month (Max, launched July 2025) |
| Has API | ✗ | ✓ |
| Open source | ✗ | ✗ |
| Free to use | ✗ | ✓ |
| Users | 10k+ researchers | 30M+ standalone monthly active users (100M+ across all products, 2026) |
| Founded | 2023 | 2022 |
| Maker | Ian Fischer | Aravind Srinivas, Denis Yarats, Johnny Ho, Andy Konwinski |
| 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... |
Perplexity remains the strongest citation-first answer engine: every query triggers a live web search and each sentence links to its sources, which makes verification fast in a way plain chatbots can't match. The free ti... |
| 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.