Iris.ai is an enterprise-grade AI knowledge foundation designed specifically for scientific research, R&D teams, and regulated industries. The platform automates complex scientific research workflows by integrating smart literature search, content filtering, automated data extraction, and knowledge discovery across massive repositories of scientific papers and patents.
Key Features
- Contextual Search & Discovery: Locate technical papers and patents using high-precision semantic analysis rather than simple keyword matching.
- Automated Data Extraction: Extract relevant data points, systematic metrics, and key findings directly from unstructured scientific documents.
- Smart Filtering & Summarization: Filter extensive document collections according to custom research criteria and generate contextual summaries.
- Enterprise Security & Compliance: Engineered for regulated enterprise environments with high standards for data privacy, traceability, and custom model integrations.
Primary Use Cases
- R&D Knowledge Discovery: Accelerate literature reviews and competitive intelligence mapping for scientific and corporate R&D teams.
- Compliance & Regulatory Research: Streamline regulatory filings and systematic reviews in healthcare, chemistry, and material sciences.
- Academic & Patent Analysis: Deepen research insights through automated mapping of academic literature and patent landscapes.
