Elicit

Freemium

Elicit is an AI research assistant that automates laborious research workflows, helping you quickly understand what science knows to discover the unknown.

Elicit is an AI-powered research assistant developed by Ought, designed to automate and streamline academic research workflows. It leverages large language models to search, summarize, and organize findings from a vast corpus of academic papers, primarily from Semantic Scholar. Its core value proposition is to save researchers significant time in tasks like literature reviews, systematic reviews, and evidence synthesis, targeting academics, postgraduate students, and analysts in evidence-based fields.

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Samprix Score

4.2

Key Features

AI-Powered Literature Search: Semantically searches over 138 million academic papers and clinical trials, finding relevant results even without perfect keyword matching.

Automated Data Extraction: Extracts specific information (e.g., interventions, outcomes, populations, methodologies) into customizable, structured tables from multiple papers.

Paper Summarization: Generates concise, plain-English summaries of individual papers and synthesizes key findings across multiple studies.

Systematic Review Workflows: Automates screening, data extraction, and synthesis for systematic reviews, offering dedicated tools for large-scale paper screening and report generation.

Sentence-Level Citations & Verifiability: Provides direct links to the exact source sentences within papers for every piece of extracted or summarized information, ensuring trustworthiness and minimizing hallucinations.

Pros

Significantly reduces research time, with users reporting up to 80% time savings on tasks like literature search, summarization, and data extraction.
Offers high accuracy and trustworthiness by relying on academic databases and providing sentence-level citations for all generated information.
Delivers structured, customizable, and verifiable data output, transforming complex research questions into organized, actionable insights.
Enhances discoverability of relevant papers through semantic search, often identifying studies that might be missed by traditional keyword-based searches.

Cons

Primarily searches the Semantic Scholar database, which means it may not be exhaustive for all research topics and might miss relevant papers from other major academic databases.
While powerful, it is not a complete replacement for human judgment and comprehensive traditional search methods, requiring users to validate extracted data.
The annual subscription for higher tiers can be expensive for independent researchers or students without institutional funding.

Pricing Plans

Basic (Free Plan)

Free

Limited access to Research Agent
2 Automated Reports per month
Unlimited search across 125M+ papers
Unlimited summaries
Document chat
Zotero import
20 data extractions/month
2 custom columns per table

Popular

Plus Plan

$12/month (billed annually)

Everything in Basic
600 data extractions/year (or 50 PDFs/month)
Export to CSV, BIB, RIS formats
High-accuracy mode
5 custom columns per table
Unlimited chat
Unlimited summaries for up to 8 full-text papers at once

Pro Plan

$49/month (billed annually)

Everything in Plus
Extended access to Research Agent
Dedicated Systematic Review Workflow (screen up to 5,000 papers)
144 reports per year
2,400 data extractions/year (or 200 PDFs/month)
20 custom columns per table
Research alerts
API access

Quick Info

Category: AI Research & Education
Pricing: Freemium
Starting Price: Free