Elicit | The AI Research Assistant for Scientific Literature & Systematic Reviews
Elicit
Introduction
Elicit is a premier AI-powered scientific research assistant built to automate the most labor-intensive parts of literature reviews, evidence synthesis, and meta-analyses. Moving away from standard conversational chatbots that risk hallucinating facts, Elicit uses advanced Retrieval-Augmented Generation (RAG) mapped across an exhaustive database of over 138 million academic papers and 545,000 clinical trials. By combining semantic search with deep machine learning, it executes complex document screening and populates multi-variable extraction tables with human-level accuracy, anchoring every generated insight directly to verifiable, sentence-level source citations.
Use Cases
Automated Data Extraction & Evidence Tabulation
Extract deep qualitative and quantitative parameters—such as exact sample sizes, explicit dosages, specific methodologies, and outcomes—across dozens of PDFs simultaneously into a fully customizable, sortable comparison table.
PRISMA-Grade Systematic Literature Reviews
Accelerate massive screening pipelines by establishing rigid, reproducible exclusion criteria to filter out thousands of irrelevant abstracts and full-text documents with high auditability.
Deep Synthesis & Multi-Page Research Reports
Generate highly customized, 10+ page comprehensive literature briefs on complex or obscure mechanistic scientific concepts, with the ability to hand-pick exact source papers and data columns.
Dynamic Biomedical & Clinical Trial Sourcing
Query massive registries (including ClinicalTrials.gov) using natural language to track hidden trial precedents, verify adverse events, or establish benchmarks for novel drug designs.
Proactive, Personalized Research Alerts
Deploy AI-driven monitoring monitors that cut through academic noise, automatically surfacing highly targeted new publications that directly cross-reference your exact experimental criteria.
Features & Benefits
Semantic Search Across 138M+ Papers
Bypasses keyword-matching limits, interpreting the true underlying concept of a natural language question to surface obscure, highly relevant papers.
Massive Data Extraction Grid (Up to 20K Cells)
Allows power users to add up to 30 custom analytical columns at a time, commanding underlying LLMs (such as Claude 4.5) to parse full-text documents and pull hidden data points.
PRISMA 2020 Compliant Screening Engine
A structured workspace workflow that tracks every screening decision, recording explicit exclusion reasons and generating fully auditable logs.
Usage-Based Multi-Source Research Agent
A fully integrated agentic layer utilizing a flexible, centralized monthly usage pool to scan, extract, and synthesize data points from up to 200 data sources per report.
Native Table and Figure Interpretation
Available on premium tiers to extract, read, and intelligently interpret data packed inside inline graphical figures and complex embedded image matrices.
Bidirectional Reference Manager Syncing
Integrates cleanly with academic tracking infrastructure, enabling seamless multi-file library imports directly from platforms like Zotero.
Grounded to Verifiable Reality
Drastically reduces the risk of AI hallucination by enforcing sentence-level citation paths linked directly to explicit matching text snippets inside original papers.
Massive Time Savings on Data Entry
Saves researchers and clinical affairs teams up to 80% of manual data entry time by executing complex tabular extractions in minutes rather than days.
Agnostic to Disciplinary Silos
Engineered to handle complex reasoning structures uniformly across all scientific fields, from biomedicine and machine learning to corporate compliance and policy research.
Cons
Requires Diligent Human Sanity Checks
While data extraction hitting Cochrane-level benchmarks reaches up to 96% accuracy, slight semantic variations require expert verification on high-stakes metrics.
Gated High-Scale Extraction Capabilities
Advanced procedural tools, extensive column counts, figure reading, and large-scale bulk uploads require moving to professional subscription plans.
