AI for scientific research
Based on user reviews
Rating Distribution
Anonymous
about 2 months ago
Started using Elicit about three months ago for a systematic review in education research, alongside Zotero and traditional database searches. The semantic paper search and sentence-level citations make it much easier to trace claims back to the original PDFs, and the interactive tables for screening save a lot of clicking. It is not magic though, I still have to double check study quality and occasionally refine prompts to avoid irrelevant clinical papers. For a free basic tier, it genuinely speeds up my early-stage scoping and data extraction.
Megan Hollister
about 2 months ago
Running a small research group in psychology, I folded Elicit into our workflow about 3 months ago for two ongoing systematic reviews. The semantic search and interactive tables are the real standouts for me. Being able to screen a few hundred abstracts and extract key variables into columns (sample size, design, outcome measures) has cut our early-stage review time by at least half. I also like the sentence-level citations and the ability to quickly chat with PDFs when a method section is unclear. Zotero integration is decent, although occasionally a citation needs manual cleaning. The free tier was enough for a pilot class project, but for serious lab work we upgraded to Plus because we regularly hit the paper limits. It is not a replacement for domain expertise. Elicit sometimes overemphasizes recent or very similar RCTs and can miss more theoretical or qualitative work, so we still run a traditional database search in parallel. Overall, though, it actually makes literature reviews less painful and much more systematic.
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Dr. William Bobos
Dr. William Bobos has evaluated Elicit for Scientific Research, awarding it 4.0/5 based on 2 user reviews. With expertise in AI tools, Dr. William Bobos identifies this tool as especially effective for scientists requiring AI tools functionality.
Pricing: $0 – $65 / month(Updated December 2025)
Free Basic tier; Plus $10/month; Pro $42/month; Team $65/month; Enterprise custom pricing, all per user per month in USD
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
Elicit provides a free tier that's ideal for scientists testing scientific research tools. Free users can explore core features and understand how the platform works. Paid plans expand capabilities significantly, offering advanced features, increased limits, and priority support for scientists building professional scientific research workflows.
Elicit is an AI research assistant for scientific and academic work. It uses AI to search, summarize, extract data from, and chat with over 125 million research papers, and is used by more than 2 million researchers in academia and industry. Elicit supports systematic literature reviews by automating screening and data extraction, and can generate deeply customizable research reports inspired by systematic review methods. Additional capabilities include semantic paper search with sentence-level citations, interactive tables for structured data extraction, PDF and paper chat, concept exploration, source and library management (including Zotero integration), research alerts, and tools for understanding methods, quality, and connections between studies, serving students, academics, and industry professionals.
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Usage-based pricing keeps Elicit aligned with actual consumption. Finance teams pay only for the outcomes the organization really uses. Integrations with Elicit AI keep work connected.
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Official API docs and clear auth flows—ideal for custom automations. Automation handles the repetitive work so teams can focus on strategy.
Official SDKs handle authentication, retries, and error handling automatically.
Elicit coordinates processes across teams so automation handles repetitive tasks. Automation handles the repetitive work so teams can focus on strategy.
Decision-makers get real-time context without waiting on manual reporting. Analytics and reporting surface the metrics needed to act quickly.
Knowledge, automation, and collaboration help support teams maintain SLAs. Support leaders get knowledge, automation, and collaboration in one place.
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Bots, rules, and triggers ensure nothing gets stuck in manual queues. Automation handles the repetitive work so teams can focus on strategy.
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