Best Research Agents

What is Iris.ai? Iris.ai is a R&D research AI agent offering an AI engine for science and R&D that searches, filters and extracts from research literature. Founded in 2015 and based in Oslo, Norway, Iris.ai helps corporate R&D teams automate R&D research work and get results faster. Key capabilities of Iris.ai Contextual literature search Smart filtering Data extraction Research workspace Cited answers Export to reference managers How Iris.ai works Iris.ai takes text and documents as input and produces text and structured data. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses Iris.ai? Iris.ai is built for corporate R&D teams. It suits teams that want contextual literature search and smart filtering without adding headcount, while keeping people in control of review and final decisions. Iris.ai vs Elicit Iris.ai is often compared with Elicit. Iris.ai stands out for contextual literature search and data extraction. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Consensus? Consensus is a scientific search AI agent offering an AI search engine that answers questions with findings from peer-reviewed research. Founded in 2021 and based in Boston, Massachusetts, USA, Consensus helps students, researchers and clinicians automate scientific search work and get results faster. Key capabilities of Consensus Evidence-based answers Consensus Meter Study snapshots Deep research Cited answers Export to reference managers How Consensus works Consensus takes text as input and produces text and citations. It is powered by OpenAI GPT and in-house models models, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses Consensus? Consensus is built for students, researchers and clinicians. It suits teams that want evidence-based answers and Consensus Meter without adding headcount, while keeping people in control of review and final decisions. Consensus vs Elicit Consensus is often compared with Elicit. Consensus stands out for evidence-based answers and study snapshots. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is ResearchRabbit? ResearchRabbit is a research mapping AI agent offering a free tool to discover papers and map citation networks and authors. ResearchRabbit helps students and researchers automate research mapping work and get results faster. Key capabilities of ResearchRabbit Collections and recommendations Citation network maps Author exploration Zotero sync Cited answers Export to reference managers How ResearchRabbit works ResearchRabbit takes citations as input and produces visual graphs. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses ResearchRabbit? ResearchRabbit is built for students and researchers. It suits teams that want collections and recommendations and citation network maps without adding headcount, while keeping people in control of review and final decisions. ResearchRabbit vs Litmaps ResearchRabbit is often compared with Litmaps. ResearchRabbit stands out for collections and recommendations and author exploration. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Scholarcy? Scholarcy is an article summarization AI agent offering an AI tool that summarizes research articles into flashcards with key findings. Founded in 2018 and based in London, United Kingdom, Scholarcy helps students and researchers automate article summarization work and get results faster. Key capabilities of Scholarcy Summary flashcards Key findings extraction Reference extraction Library export Cited answers Export to reference managers How Scholarcy works Scholarcy takes documents as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses Scholarcy? Scholarcy is built for students and researchers. It suits teams that want summary flashcards and key findings extraction without adding headcount, while keeping people in control of review and final decisions. Scholarcy vs SciSpace Scholarcy is often compared with SciSpace. Scholarcy stands out for summary flashcards and reference extraction. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Scite? Scite is a smart citations AI agent offering smart citations that show how papers are supported or contrasted, plus an AI research assistant. Founded in 2018 and based in New York, New York, USA, Scite helps researchers and publishers automate smart citations work and get results faster. Key capabilities of Scite Smart citation statements Citation context AI assistant with references Reference checks Cited answers Export to reference managers How Scite works Scite takes text and documents as input and produces text and citations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses Scite? Scite is built for researchers and publishers. It suits teams that want smart citation statements and citation context without adding headcount, while keeping people in control of review and final decisions. Scite vs Consensus Scite is often compared with Consensus. Scite stands out for smart citation statements and AI assistant with references. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Causaly? Causaly is a biomedical research AI agent offering an AI research platform that maps cause-and-effect relationships across biomedical literature. Founded in 2018 and based in London, United Kingdom, Causaly helps pharma and biotech R&D teams automate biomedical research work and get results faster. Key capabilities of Causaly Biomedical knowledge graph Target discovery Evidence summaries Hypothesis generation Source-linked answers Report generation How Causaly works Causaly takes text and scientific literature as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Slack, Microsoft 365, Google Drive and Salesforce, so the agent works inside existing workflows. Who uses Causaly? Causaly is built for pharma and biotech R&D teams. It suits teams that want biomedical knowledge graph and target discovery without adding headcount, while keeping people in control of review and final decisions. Causaly vs BenchSci Causaly is often compared with BenchSci. Causaly stands out for biomedical knowledge graph and evidence summaries. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Connected Papers? Connected Papers is a paper graphs AI agent offering a tool that builds visual graphs of related academic papers from one seed paper. Connected Papers helps students and researchers automate paper graphs work and get results faster. Key capabilities of Connected Papers Similarity graphs Prior and derivative works Visual exploration Free graphs Cited answers Export to reference managers How Connected Papers works Connected Papers takes citations as input and produces visual graphs. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses Connected Papers? Connected Papers is built for students and researchers. It suits teams that want similarity graphs and prior and derivative works without adding headcount, while keeping people in control of review and final decisions. Connected Papers vs Litmaps Connected Papers is often compared with Litmaps. Connected Papers stands out for similarity graphs and visual exploration. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Keenious? Keenious is a research discovery AI agent offering an AI research tool that recommends papers based on the text you are writing. Founded in 2017 and based in Tromso, Norway, Keenious helps students and university libraries automate research discovery work and get results faster. Key capabilities of Keenious Text-based recommendations Word and Docs add-ons Topic exploration Reference discovery Source citations Export to reference managers How Keenious works Keenious takes text and documents as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses Keenious? Keenious is built for students and university libraries. It suits teams that want text-based recommendations and Word and Docs add-ons without adding headcount, while keeping people in control of review and final decisions. Keenious vs Litmaps Keenious is often compared with Litmaps. Keenious stands out for text-based recommendations and topic exploration. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Afforai? Afforai is a research chatbot AI agent offering an AI research assistant that chats with papers, compares sources and manages citations. Afforai helps students and researchers automate research chatbot work and get results faster. Key capabilities of Afforai Multi-document chat Source comparison Citation management Literature review Source-cited answers Reference manager export How Afforai works Afforai takes documents and text as input and produces text and citations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, PubMed and arXiv, so the agent works inside existing workflows. Who uses Afforai? Afforai is built for students and researchers. It suits teams that want multi-document chat and source comparison without adding headcount, while keeping people in control of review and final decisions. Afforai vs Humata Afforai is often compared with Humata. Afforai stands out for multi-document chat and citation management. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Semantic Scholar? Semantic Scholar is a scientific literature AI agent offering a free AI-powered research tool from the Allen Institute for AI covering 200M+ papers. Founded in 2015 and based in Seattle, Washington, USA, Semantic Scholar helps students and researchers automate scientific literature work and get results faster. Key capabilities of Semantic Scholar 200M+ paper search TLDR summaries Semantic Reader Research feeds Cited answers Export to reference managers How Semantic Scholar works Semantic Scholar takes text as input and produces text and citations. It is powered by Ai2 (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses Semantic Scholar? Semantic Scholar is built for students and researchers. It suits teams that want 200M+ paper search and TLDR summaries without adding headcount, while keeping people in control of review and final decisions. Semantic Scholar vs Google Scholar Semantic Scholar is often compared with Google Scholar. Semantic Scholar stands out for 200M+ paper search and Semantic Reader. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is ChatPDF? ChatPDF is a PDF chat AI agent offering an AI assistant that lets you ask questions and get summaries of any PDF. Founded in 2023 and based in Berlin, Germany, ChatPDF helps students and professionals automate PDF chat work and get results faster. Key capabilities of ChatPDF PDF chat Instant summaries Cited pages Multilingual answers Source citations Export to reference managers How ChatPDF works ChatPDF takes documents and text as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses ChatPDF? ChatPDF is built for students and professionals. It suits teams that want PDF chat and instant summaries without adding headcount, while keeping people in control of review and final decisions. ChatPDF vs Humata ChatPDF is often compared with Humata. ChatPDF stands out for PDF chat and cited pages. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Litmaps? Litmaps is a literature mapping AI agent offering a literature discovery tool that maps citation networks and surfaces relevant papers. Founded in 2016 and based in Wellington, New Zealand, Litmaps helps students and academic researchers automate literature mapping work and get results faster. Key capabilities of Litmaps Citation maps Paper recommendations Literature monitoring Collaborative maps Source citations Export to reference managers How Litmaps works Litmaps takes text and citations as input and produces visual maps and text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, Google Scholar and PubMed, so the agent works inside existing workflows. Who uses Litmaps? Litmaps is built for students and academic researchers. It suits teams that want citation maps and paper recommendations without adding headcount, while keeping people in control of review and final decisions. Litmaps vs ResearchRabbit Litmaps is often compared with ResearchRabbit. Litmaps stands out for citation maps and literature monitoring. The right choice depends on your workflow, integrations and budget, so compare both on a real task.