Elicit
Accelerate research with AI that automates literature reviews and data extraction from academic papers.
Evidence-based AI search engine that finds answers in peer-reviewed research.
Consensus is a specialized AI search engine built on a vector-database of over 200 million peer-reviewed scientific papers, primarily sourced through the Semantic Scholar database. By late 2025 and into 2026, Consensus has established itself as the leading 'Verifiable AI' platform, prioritizing source-grounded answers over generative speculation. The technical architecture utilizes a proprietary RAG (Retrieval-Augmented Generation) pipeline that combines semantic search with Large Language Models (LLMs) like GPT-4o to synthesize findings across multiple studies. It offers a 'Consensus Meter' which utilizes sentiment analysis and NLP to provide a high-level view of scientific agreement on a specific query. The platform is designed for professionals in medicine, academia, and policy-making who require rigorous data validation that standard LLMs cannot provide due to hallucination risks. In the 2026 market landscape, Consensus serves as a critical infrastructure layer for evidence-based decision-making, offering enterprise-grade integrations with citation managers and internal data silos.
Uses NLP classification to analyze the abstract and conclusion of top search results to determine scientific stance.
Accelerate research with AI that automates literature reviews and data extraction from academic papers.
Professional-grade browser intelligence and document synthesis agent for research-intensive workflows.
Unified Multi-Model Intelligence for Advanced Research, Coding, and Content Engineering.
Extract core insights from academic literature in 15 seconds with AI-driven summarization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
RAG-based summarization engine that uses GPT-4o to aggregate findings from the top 10-15 most relevant papers.
Algorithms that filter results by study design (RCTs, Meta-Analyses), sample size, and SJR journal ranking.
Automatically extracts and displays key metrics like sample size, methodology, and outcome measures in a side-panel.
Uses multilingual embeddings to find and translate relevant research from non-English journals.
A workflow tool that formats research findings into structured paragraphs ready for academic or professional reports.
Visualizes the relationship between authors, citations, and emerging research topics.
A clinician needs to verify the efficacy of a specific drug for off-label use.
Registry Updated:2/7/2026
A researcher needs to understand the competitive landscape of mRNA delivery mechanisms.
A policy analyst needs data to support a new environmental regulation.