Description
Iris.AI is an artificial intelligence engine that helps researchers navigate the scientific literature landscape through conceptual search and automated research mapping. The platform uses natural language processing to understand research questions, identify relevant scientific documents across disciplines, generate comprehensive knowledge landscapes, and extract key insights from papers, dramatically reducing the time required for literature exploration and synthesis.
Key Features
- Conceptual research mapping
- AI-powered literature exploration
- Automated systematic reviews
- Cross-disciplinary connection identification
- Research question refinement
Use Cases
- Literature discovery and mapping
- Technology scouting
- Patent landscape analysis
- Research gap identification
- Interdisciplinary innovation
Pricing Model
Tiered subscription model with enterprise options
Integrations
Institutional repositories, Patent databases, R&D management platforms, Knowledge management systems, Document analysis tools
Target Audience
Corporate R&D departments, Technology transfer offices, Academic researchers, Innovation managers, Scientific librarians
Launch Date
January 2020
Available On
Cloud-based platform, API for enterprise integration, Team collaboration interface
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