Scite

Brooklyn, New York, United States  All United States companies → Founded 2018
Acquired (by Research Solutions) — $4M

Products

Scite
Scite
Drug Discovery & Research
Scite is an AI research tool that shows how papers have been cited, providing context on whether findings are supported or contradicted by subsequent research, which is valuable for medical writers and researchers.

See all 1 product →

About Scite

Scite (scite.ai) is an AI-powered research platform designed to help physicians and researchers discover and critically evaluate scientific literature. Unlike traditional citation tools that merely count citations, Scite utilizes “Smart Citations” to provide deeper insights into how publications cite each other. It classifies citation statements from over 300 million scholarly articles, preprints, books, patents, and datasets, indicating whether a cited work is supported, contrasted, or simply mentioned by subsequent research. This allows users to quickly gauge the strength of evidence behind a claim, identify potential inconsistencies, and understand the broader scientific discourse surrounding a particular study, claim, method, journal, author, institution, or funder.

For physicians, Scite’s capabilities are particularly valuable in navigating the ever-growing volume of medical knowledge. It streamlines literature reviews, helps in understanding the nuances of patient care and treatment options, and aids in clinical decision-making by providing evidence-based answers to complex questions. The platform’s AI Assistant is designed to minimize “hallucinations” by grounding its answers in real, peer-reviewed research articles, with every claim backed by a direct reference for verification. This allows physicians to quickly access reliable overviews of topics, refine research questions, and identify research gaps, ultimately enhancing the quality of their research output and clinical practice.

Focus Areas

AI-powered citation analysis scientific literature evaluation research reproducibility evidence-based research natural language processing deep learning

Business Intelligence

Key InvestorsNational Institute on Drug Abuse (NIDA), National Institutes of Health, National Science Foundation (NSF), U.S. Department of Health and Human Services, Future Labs
PartnershipsResearch Solutions (acquired Scite), Pensoft, ARPHA, Sage, BMJ, Wiley
AcquisitionsAcquired by Research Solutions (November 27, 2023)
TechnologyAI-powered platform utilizing deep learning models and natural language processing to classify citation statements. Cloud-native infrastructure.

What Physicians Need to Know

AI-Powered Citation Analysis
Scite specializes in 'Smart Citations,' which classify how research articles cite each other into three categories: supporting, contrasting, or mentioning. This goes beyond traditional citation counts to provide context and evaluate the reliability of research.
Scientific Literature Evaluation
The platform helps researchers assess the strength of evidence, identify contradictory studies, and understand the consensus of a field on a particular topic.
Research Reproducibility & Evidence-Based Research
Scite aims to make science more reliable by providing tools to validate research and ensure trustworthiness in translating research to real-world applications. It helps users understand if findings hold up and are supported or challenged by subsequent research.
Natural Language Processing & Deep Learning
Scite utilizes proprietary machine learning models, trained on a vast database of citation statements, to classify citations and extract key information from full-text articles.
Comprehensive Database
Scite boasts a large database of over 1.6 billion citation statements and 300 million full-text articles, including content from over 44 publisher partners, which allows it to search content other tools might miss due to paywalls.
Key Differentiators
Scite's primary differentiator is its 'Smart Citations' system, which provides contextual citation analysis (supporting, contrasting, mentioning). Unlike many other AI research tools, Scite directly sources full-text papers from academic publishers, leading to a larger and potentially more comprehensive database.
Technology Stack
Scite's core technology relies on artificial intelligence, specifically machine learning and deep learning, to analyze and classify citation statements. It uses text mining to gain access to full-text articles through partnerships with publishers.
Physician Tip

For physicians, Scite offers significant advantages in staying current with medical literature and making evidence-based decisions. It can help quickly assess the reliability of research articles, understand the nuances of patient care and treatment options, and explore rarer pathologies and interactions. The AI Assistant can answer research questions with evidence-based responses, and the ability to see if studies support or contradict claims is invaluable for evaluating the strength of medical evidence. This can lead to improved patient care and enriched research endeavors by providing quick, reliable, and in-depth insights into medical literature, ultimately enhancing clinical practice and academic productivity.

Scite offers integrations with various tools and platforms to streamline research workflows. It works with popular AI tools like ChatGPT, Claude, and other Model Context Protocol (MCP)-compatible assistants, allowing users to access Smart Citations and search scientific literature directly within their AI environment. Additionally, Scite provides browser extensions for Chrome and Firefox, and integrates with reference management tools like Zotero. Integrations with academic sites and Google Scholar are also available, displaying Scite badges and insights directly on article pages.

Products by Scite

1 product in the directory

Scite
Scite
Drug Discovery & Research
Scite is an AI research tool that shows how papers have been cited, providing context on whether findings are supported or contradicted by subsequent research, which is valuable for medical writers and researchers.

What the Web Says

Scite.ai is an AI-powered research assistant and citation analysis platform that helps researchers, students, and academics efficiently find, evaluate, and synthesize scientific literature. Users consistently praise its ability to streamline literature reviews, enhance research efficiency, and provide contextual citation information, showing whether a paper supports or contradicts claims. It is particularly valued in academic and medical fields for its accuracy and time-saving capabilities.

Overall: Positive

Strengths

  • Streamlines literature reviews and enhances research efficiency.
  • Provides contextual citation information (supporting, contrasting, mentioning) for better evaluation of reliability.
  • AI assistant and smart citations save significant time in research and writing.
  • Offers accurate and reliable information exclusively from academic sources, reducing hallucinations.
  • Easy to use interface and straightforward initial setup.
  • Helpful for creating presentations with accurate citations and organizing research with custom dashboards.

Limitations

  • Limited tokens can make it difficult to complete tasks in one sitting.
  • Interface can be slow at times.
  • Can have a learning curve for advanced features.
  • Pricing can be a barrier for independent researchers without institutional support.
  • May have coverage gaps in niche areas or recent preprint publications.
  • AI assistant can sometimes miss the mark with emerging or interdisciplinary studies, or oversimplify complex research.

Based on reviews from: G2, Elephas, Reddit, Medium, Capterra, Trustpilot, Techpoint Africa, Tech & Learning, Unite.AI

Last updated: 2026-09-21

Videos

News, demos, and interviews about Scite.

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Press & Coverage

PR Newswire
Research Solutions' Scite Launches Claude Connector For Citation-Backed Research
Research Solutions announced the launch of the Scite Claude Connector, integrating Scite's Smart Citations and full-text search directly into Anthropic's Claude AI assistant. This expands Scite's presence in AI research tools, following its existing ChatGPT app, to provide verifiable sources and evidence-backed answers.
2026-04
Scite Blog
May 2026 Release Notes - Scite
Scite's May 2026 release introduced a new 'Pro Plan' for heavy users, 'Collections' for organizing research, and the ability for Assistant to read uploaded PDFs. It also expanded the data available through Scite MCP to include medical device and regulatory information from MHRA, MAUDE, and Device 510(k).
2026-06
Scite Blog
August 2026 Release Notes - Scite
The August 2026 release focused on easier integration with AI tools like ChatGPT and Claude, offering one-click connections and expanded free trial access. Scite also improved Zotero library imports and reorganized its pricing page.
2026-09
Research Solutions
Scite Expands Extensive Publisher Partnership Network With American Society For Microbiology Indexing Agreement
Scite signed an indexing agreement with the American Society for Microbiology (ASM), adding ASM's peer-reviewed journals to Scite's Smart Citations technology. This partnership enhances insights into microbiology research and expands Scite's network to over 30 major publishers.
2025-06
University of Calgary
A Short Guide to scite.AI | News - University of Calgary
This article from the University of Calgary provides a guide to Scite AI, highlighting its 'Smart Citations' feature that categorizes cited work as supporting, contrasting, or mentioning, and its utility for evaluating scientific articles and building literature lists.
2025-11
Fundz
Scite raises $1.93 Million Seed round (October 2022) - Fundz
Scite raised $1.93 million in a seed funding round in October 2022. The company has raised a total of $4 million across four rounds since its founding in 2018.
2022-10
Medium (DrAiMD)
My Month with Scite AI Assistant in the Clinic and Research | by DrAiMD - Medium
A medical professional shares their experience using Scite AI Assistant in clinical practice and research, emphasizing its ability to navigate vast medical literature and provide evidence-based answers for patient care and treatment options.
2024-02
Scite
The coverage and data behind Smart Citations - Scite
Scite's data coverage includes over 317 million articles, with 41 million in full text, and over 1.6 billion Smart Citations extracted through agreements with 44+ publishers and Open Access content. This data is linked with author, affiliation, journal, and topic metadata.
2026-06
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