Iris.ai

• Contextual full-text search across scientific papers, patents and technical documents
• Automated summarisation of large document sets into concise insights
• Extraction of key entities, concepts and data points from research content
• Visual knowledge-mapping of relationships between topics, papers and patents
• Custom domain-specific training of the AI for industry-specific terminology
• Integration of internal and external content repositories into unified workflows
• Filtering and prioritization of research based on relevance to a problem statement
• Collaboration tools and dashboards for R&D teams to manage reviews and workflows
• Alerts and monitoring for new documents or patents matching research criteria
• Analytics and metrics for research progress, gaps and opportunity identification

Iris.ai is a sophisticated AI research-assistant platform aimed at accelerating scientific discovery and innovation by unlocking the massive, growing volume of research literature, patents and technical documentation. Researchers and R&D teams often face the challenge of navigating thousands of documents across disciplines, extracting relevant meaning, summarising content and identifying connections. Iris.ai addresses this challenge by applying advanced natural language processing and machine learning techniques to map knowledge, extract key insights and provide visualisations of relationships between concepts, papers and patents. Users upload or point to document sets—such as internal research reports, external publications or patent collections—and Iris.ai performs deep analysis: it identifies key entities, extracts data and relationships, summarises groups of documents, and presents a knowledge map to show how topics interlink. The platform supports domain-specific customisation so that organisations can train the system on their own terminology, workflows and content domains. Iris.ai is used by industrial R&D teams, academic institutions and corporate innovation functions to reduce weeks or months of manual review into days or hours. With its collaboration features, analytics dashboards, alerting of relevant new content and exportable summaries, the platform enables teams to stay ahead of emerging trends, spot gaps in knowledge and prioritise innovation opportunities. Iris.ai is especially suited for cross-disciplinary research, complex technologies, material sciences, biotech, engineering and patent-intensive fields. By streamlining the entire research workflow—from document ingestion to insight generation to mapping and execution—this AI-powered assistant empowers organisations to turn information overload into actionable innovation.