Iris.ai

What is Iris.ai?

Iris.ai is an AI platform built to understand scientific writing. It uses advanced algorithms and machine learning to process large volumes of scientific articles, extract key information, and identify trends. Its main applications are literature reviews, research data extraction, and post-market surveillance of medical products.

For literature reviews, it scans extensive scientific text to surface relevant material and insights. For data extraction, it automatically pulls data from research papers, freeing researchers to focus on higher-level analysis. For post-market surveillance, it analyzes biomedical data to flag potential safety issues and adverse events, supporting patient safety and healthcare quality.

Who created Iris.ai?

Iris.ai was founded by a globally distributed team united by a goal of making a positive societal impact. The platform is built on AI algorithms and machine learning designed specifically for scientific text.

What is Iris.ai used for?

• Understanding scientific papers: Helps users make sense of scientific literature.
• Finding relevant information: Quickly pinpoints the information needed in research.
• Structuring research data: Extracts and organizes data from research papers.
• Automating repetitive tasks: Handles tedious research jobs, saving time.
• Post-market surveillance: Monitors the safety and effectiveness of medical products after release, identifying potential safety concerns and adverse events.
• Broad scientific coverage: Useful across many scientific fields.
• Multiple formats: Supports various data types, including PDFs and research articles.
• User-friendly interface: Designed to be simple to interact with.