Iris AI: Your AI-Powered Research Assistant for Scientific Discovery

Iris AI is an AI-powered research platform designed to accelerate the process of scientific discovery. By automating literature review, knowledge extraction, and research analysis, Iris AI empowers researchers, scientists, and students to navigate the vast sea of information efficiently and uncover valuable insights.

Unique Features and Benefits:

• Automated Literature Review: Iris AI automates the tedious process of literature review, sifting through thousands of documents to identify the most relevant research papers.
• AI-Powered Knowledge Extraction: Extract key information, concepts, and relationships from research papers with AI-powered summarization and analysis tools.
• Research Question Refinement: Refine your research questions and hypotheses with AI-powered suggestions and guidance.
• Interactive Exploration: Visualize and explore research landscapes with interactive maps and graphs, uncovering connections and patterns.
• Collaboration Tools: Collaborate with colleagues and share research findings seamlessly within the platform.

How Iris AI Works:

• Define your research question: Input your research question or topic of interest.
• Iris AI gathers relevant literature: The platform automatically searches and filters relevant research papers.
• Extract key knowledge: Utilize AI tools to summarize papers, extract key concepts, and analyze data.
• Explore and visualize: Interact with research landscapes to uncover connections and patterns.
• Refine your research: Use AI-powered suggestions to refine your research question and direction.

Key Features and Functionalities:

• Automated literature review
• AI-powered knowledge extraction
• Research question refinement
• Interactive exploration and visualization
• Collaboration tools
• Citation analysis
• Research document management

Use Cases and Examples:

Use Cases:

1. Conducting literature reviews for research projects
2. Identifying relevant research papers for specific topics
3. Extracting key findings and data from scientific literature
4. Exploring research landscapes and uncovering connections
5. Collaborating on research projects with colleagues

Examples:

1. A scientist uses Iris AI to quickly review thousands of research papers on climate change and identify the most relevant studies.
2. A student uses Iris AI to extract key findings from research papers for their thesis, saving hours of manual reading and analysis.

User Experience:

While Iris AI focuses on accelerating scientific discovery, its design and features suggest a user experience that prioritizes:

• Efficiency: Automated literature review and knowledge extraction streamline the research process.
• Focus: Researchers can focus on analysis and interpretation, leaving the tedious tasks to AI.
• Discovery: Interactive exploration tools help uncover hidden connections and insights within research data.

Pricing and Plans:

Iris AI offers various pricing plans for individuals, researchers, and institutions, including a free trial for new users.

Competitors:

• Semantic Scholar
• Connected Papers
• Google Scholar

Unique Selling Points:

• AI-powered knowledge extraction and research analysis
• Interactive exploration tools for visualizing research landscapes
• Focus on automating literature review and research question refinement

Last Words: Accelerate your research and unlock new discoveries with Iris AI. Visit iris.ai today and experience the power of AI-driven research assistance.