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irisai

irisai

An academic information analysis platform that automatically searches for literature, extracts data, and generates summaries.

Research ToolsKnowledge GraphHealthcareThesis Writing
irisai screenshot
OverviewAlternatives

Monthly Visits

45.8K

Avg. Session Duration

0 min

Category Rank

#277

Bounce Rate

0.4%

What is irisai?

Iris.ai streamlines the process of accessing, analyzing, and synthesizing scientific and technical information. By automating literature searches, reading list analysis, data extraction, and summarization, it enables professionals and researchers to focus on interpretation and innovation rather than manual data collection. Widely adopted in academia, healthcare, biotechnology, and finance, Iris.ai helps organizations uncover insights, accelerate research, and make informed decisions based on large volumes of complex data.

Key Features of irisai?

Automated Literature Discovery
Rapidly identify and retrieve relevant scientific papers and patents based on user-defined topics or research questions.
Intelligent Reading List Analysis
Analyze collections of academic papers to highlight key concepts and connections, supporting comprehensive literature reviews.
Data Extraction and Summarization
Extract structured data and generate concise summaries from complex scientific documents, reducing manual effort.
Knowledge Graph Construction
Build knowledge graphs that connect domain-specific data and scientific research, enabling deeper understanding and innovation.
Cross-Disciplinary Insights
Reveal connections between different fields, supporting interdisciplinary research and uncovering new discovery opportunities.

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System is a free and open resource designed to explain how everything in the world is statistically related, leveraging a vast graph database that connects millions of relationships across thousands of topics. Built on the System platform, it extracts, normalizes, and stores metadata from peer-reviewed scientific literature and open data sources, delivering transparent and trustworthy insights. System aims to break down disciplinary barriers by visualizing and contextualizing research findings, enabling users to make better-informed decisions in fields such as research and healthcare.

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ontosightai

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Ontosight.ai is an advanced AI-driven research intelligence platform designed to streamline data analysis and accelerate knowledge discovery for researchers, students, and professionals. Leveraging a comprehensive biomedical ontology and scientific databases, the platform delivers direct and relevant answers through semantic search and concept mapping. With support for real-time customizable dashboards, it is suitable for a wide range of drug development and scientific research applications, enabling smarter, more efficient insights and collaboration.

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consensus

consensus

Consensus is a cutting-edge AI-powered academic search engine that helps researchers, students, clinicians, and professionals quickly find and understand the most relevant scientific literature. By combining advanced language models with vector retrieval technology, it extracts and summarizes key information from a vast database of over 200 million research papers, covering all scientific disciplines. The platform emphasizes scientifically validated results, transparent citations, and provides specialized tools to streamline the research process, supporting evidence-based decision-making.

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evidence-partners-distillersr

evidence-partners-distillersr

Evidence Partners' DistillerSR is a leading software solution designed to accelerate and streamline the literature review process for research organizations, regulatory agencies, and healthcare institutions. The platform combines automated complex workflows with configurable protocols to reduce manual effort, improve accuracy, and ensure reproducible, audit-ready results. Seamlessly integrating with document retrieval services and third-party tools, it provides a comprehensive environment for efficiently managing large-scale systematic reviews.

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DeepResearch is an advanced AI research assistant developed by OpenAI, powered by the next-generation o3 model optimized for web browsing, data analysis, and reasoning. It autonomously explores hundreds of online sources—including text, images, and PDFs—synthesizing complex information into professional-grade reports with clear citations. Designed for professionals in finance, science, policy, and engineering, DeepResearch excels at uncovering niche, non-intuitive insights that require multi-layered investigation, while handling diverse data formats. It significantly reduces the time and effort required to complete complex research tasks, typically delivering fully documented results within 5 to 30 minutes.

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connected-papers

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Connected Papers is an innovative platform that helps researchers, scholars, and students efficiently explore scientific literature through interactive visual maps. By entering a starting paper, users can generate a network of related research based on citation and similarity data, enabling quick identification of key studies, foundational works, and emerging trends. Powered by Semantic Scholar's extensive database, Connected Papers offers an intuitive and unique approach to navigating academic literature, making literature reviews and research exploration more efficient and in-depth.

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