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Iris.ai

Research automation platform for scientific literature discovery, analysis, and knowledge extraction across industries.

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Product Overview

What is Iris.ai?

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. Iris.ai is widely adopted in academia, healthcare, biotech, and finance, helping organizations uncover insights, accelerate research, and make informed decisions based on large volumes of complex data.


Key Features

  • Automated Literature Discovery

    Rapidly identifies and retrieves relevant scientific papers and patents based on user-defined topics or research questions.

  • Smart Reading List Analysis

    Analyzes collections of academic papers, highlighting key concepts and connections to support comprehensive reviews.

  • Data Extraction and Summarization

    Extracts structured data and generates concise summaries from complex scientific documents, reducing manual effort.

  • Knowledge Graph Creation

    Builds knowledge graphs linking field data to scientific research, facilitating deeper understanding and innovation.

  • Cross-Disciplinary Insights

    Reveals connections between disparate fields, supporting interdisciplinary research and new discovery opportunities.


Use Cases

  • Academic Literature Reviews : Researchers automate the search and analysis of academic papers, enabling more thorough and efficient literature reviews.
  • Healthcare Research : Biotech and healthcare organizations accelerate discovery of treatment pathways and synthesize clinical evidence.
  • Financial Trend Analysis : Financial professionals analyze large datasets to identify market trends and inform investment strategies.
  • Contract Research Efficiency : Contract research organizations reduce manual work and improve project margins by automating literature review and data extraction.
  • Innovation and Product Development : Enterprises use knowledge graphs to connect internal data with scientific research, driving product innovation and consultancy services.

FAQs

Analytics of Iris.ai Website

Iris.ai Traffic & Rankings
68.5K
Monthly Visits
00:00:37
Avg. Visit Duration
146
Category Rank
0.38%
User Bounce Rate
Traffic Trends: Jun 2025 - Aug 2025
Top Regions of Iris.ai
  1. 🇨🇭 CH: 33.89%

  2. 🇺🇸 US: 12%

  3. 🇮🇳 IN: 6.08%

  4. 🇩🇪 DE: 4.48%

  5. 🇫🇷 FR: 2.8%

  6. Others: 40.75%