Elicit
Elicit is an AI research assistant designed to help researchers, analysts, and knowledge workers automate parts of their workflow — especially literature review, research synthesis, and evidence-based reasoning. It enables users to ask questions and receive structured answers drawn from academic papers, without needing to manually search, read, and extract information from each paper.
It helps with tasks like:
Finding relevant papers
Extracting key findings
Comparing arguments
Summarizing evidence
Automating parts of systematic reviews
It helps with tasks like:
Finding relevant papers
Extracting key findings
Comparing arguments
Summarizing evidence
Automating parts of systematic reviews
FEATURES
Ask research questions in natural language
Automatically find and rank relevant papers
Extract answers and summarize key findings
Paper-based comparison of arguments and methodologies
Structured table outputs for evidence synthesis
Highlight limitations, conclusions, and methods
Ask follow-up questions to refine searches
Export citations and notes
Automatically find and rank relevant papers
Extract answers and summarize key findings
Paper-based comparison of arguments and methodologies
Structured table outputs for evidence synthesis
Highlight limitations, conclusions, and methods
Ask follow-up questions to refine searches
Export citations and notes
PRICING
FREE
Unlimited access for individuals and researchers.
TEAMS
Custom pricing for institutional or team-based workflows.
(Currently, Elicit is mostly free as it's backed by Ought’s research mission, but pricing tiers may evolve.)
Unlimited access for individuals and researchers.
TEAMS
Custom pricing for institutional or team-based workflows.
(Currently, Elicit is mostly free as it's backed by Ought’s research mission, but pricing tiers may evolve.)
GOOD FOR
PERSONAL
Students
Academic researchers
Self-learners
Analysts
BUSINESS / INSTITUTIONAL
Research teams
Think tanks
Universities
R&D departments
Students
Academic researchers
Self-learners
Analysts
BUSINESS / INSTITUTIONAL
Research teams
Think tanks
Universities
R&D departments
TECHSTACK
TECHSTACK
Backend: Python
LLM APIs: OpenAI models + fine-tuned layers
Vector Search: Likely uses semantic embeddings
Database: PostgreSQL / other document stores
Frontend: React (inferred from app behavior)
Hosting: Cloud-based (details not public)
API
No public API yet — interface is currently web-based only.
However, API access may be offered in the future for institutional use or integration.
Backend: Python
LLM APIs: OpenAI models + fine-tuned layers
Vector Search: Likely uses semantic embeddings
Database: PostgreSQL / other document stores
Frontend: React (inferred from app behavior)
Hosting: Cloud-based (details not public)
API
No public API yet — interface is currently web-based only.
However, API access may be offered in the future for institutional use or integration.
last update : August 5, 2025
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