Elicit AI

Elicit is an AI-powered research assistant developed to help researchers automate time-consuming tasks related to the scientific literature. It is designed for use in areas such as systematic reviews, clinical trial design, literature support for medical information, and health economics. The company operates as a “public benefit company” with the goal of serving the public interest.

Founding

The co-founders of Elicit are Andreas Stuhlmüller (CEO) and Jungwon Byun. Andreas Stuhlmüller is a scientist originally from the Massachusetts Institute of Technology (MIT) who conducted postdoctoral research in Noah Goodman’s lab at Stanford University. Jungwon Byun previously served as Director of Growth at the financial technology company Upstart. The team also includes numerous experts with experience in engineering, product development, design, operations, and AI research.

Technology

Elicit uses natural language processing (NLP) and large language models (LLMs) to enable researchers to summarize scientific papers extract data perform thematic analysis and prepare systematic reviews. The platform can semantically search over 125 million academic articles including those from PubMed JAMA BMJ Nature Science and arXiv. Users can ask questions on the platform to locate relevant publications and extract data from more than 30 predefined fields or custom user-defined fields within each publication. Direct citations and source references are provided alongside extracted information to allow users to verify findings.

Use Cases

Elicit offers specialized solutions for the following areas:

• Systematic literature reviews
• Clinical trial design
• Medical information queries and health economics analyses
• Scientific report generation and rapid field exploration

The platform’s “Elicit Reports” feature combines automated searching scanning and data extraction to deliver researchers a fast editable initial report.

Pricing Policy

Elicit offers a multi-tiered pricing model tailored to user needs. A free plan is available for basic use cases providing access to a limited number of document processing tasks and restricted features. Advanced plans for more comprehensive research workflows offer additional capabilities such as working with more documents increased data extraction capacity advanced export options and access to custom workflows. Collaboration-focused plans for research teams and institutions support multi-user access centralized management tools and live editing features. Custom enterprise solutions include tailored pricing usage quota configurations and dedicated training and support services. Each plan is optimized according to the scale and expertise level of the user’s research.

Technical Features

Elicit provides automated summaries tailored to research questions data-driven insights including tabular data and thematic analyses written in natural language. Additional features include Zotero integration export in RIS CSV and BIB formats live editing capabilities administrator dashboards and collaborative real-time editing for research groups.

User Base and Reach

As of 2025 Elicit has reached 170000 active monthly users and a total user base of 740000. The user base spans a broad spectrum from academic researchers to clinical experts and monthly growth is reported at approximately 38 percent.

Future Vision

Elicit’s long-term goal is to make artificial intelligence effective not only in short-term tasks but also in cognitive processes such as reasoning and reflection. The company continues to develop research-backed technologies to scale scientific reasoning and make decision support systems more transparent and reproducible. Central to this vision are the automation of systematic reviews the creation of continuously updated “living reviews” and user-controlled transparent audit trails.