Iris.ai
Iris.ai helps researchers find scientific papers, analyze technical documents, extract important data, and generate research summaries using AI-powered search and document analysis tools.
Iris.ai is an AI-powered research assistant designed to help researchers and R&D teams work with large collections of scientific papers and technical documents. It uses contextual search and AI-based document analysis to help users find relevant information beyond simple keyword matching. The platform supports research discovery, document summarization, structured data extraction, and question answering based on uploaded or connected documents. It is particularly suited to organizations that need to organize technical knowledge, review scientific literature, and make research information easier to access.
How Iris.ai Works
Iris.ai helps automate research discovery and document analysis through a series of steps.
- Enter a research question or document: Provide a research question, upload a document, or enter relevant keywords to begin the search.
- Find relevant research: The platform uses contextual analysis to identify documents related to the research topic, including connections that may not appear through exact keyword searches.
- Review and organize documents: It creates a relevant reading list and helps users organize papers and technical documents for further analysis.
- Extract information and summaries: The AI analyzes selected documents, summarizes important content, and extracts useful data points into structured formats.
- Ask questions and verify answers: Use the AI chatbot to ask questions about ingested documents. Answers can include references to source material, helping users check the information.
How We Rated Iris.ai
We assessed Iris.ai based on its research discovery capabilities, document analysis, data extraction, AI chatbot, knowledge management, source traceability, ease of use, and suitability for research teams. We also considered its setup requirements and the need for human verification. This review is based on the supplied product information and available feature details, not independent hands-on testing.
Pros
- Reduces time spent searching and reviewing technical documents.
- Finds conceptual connections beyond exact keyword matches.
- Provides source references to help verify AI-generated answers.
- Supports analysis of private company document collections.
- Converts unstructured research information into organized outputs.
Cons
- Extracted information and AI responses still require human verification.
- Setting up custom knowledge bases can require time and technical expertise.
- Advanced features may require enterprise subscriptions.
- Results can vary depending on the quality and coverage of source documents.
- May be more complex than necessary for casual research needs.
- R&D teams handling large volumes of technical documents.
- Academic researchers conducting literature reviews.
- Life sciences and pharmaceutical research organizations.
- Manufacturing and engineering teams analyzing technical reports.
- Enterprise teams managing internal research knowledge.
- Researchers who need structured data extraction from PDFs.
- Organizations looking to make scientific information easier to search and use.
Iris.ai brings research discovery, document analysis, and knowledge management into a connected workflow. It can help teams reduce manual reading and organize technical information while keeping source references available for verification.
- Find relevant research using contextual search.
- Extract useful information from large document collections.
- Ask questions about ingested documents.
- Connect internal knowledge with research workflows.
- Improve access to technical information across teams.
Iris.ai's Key Features
Find relevant scientific papers using contextual AI search.
Identify connections between research topics and disciplines.
Organize and analyze collections of research documents.
Extract key information, parameters, and metrics from PDFs.
Convert information from technical documents into structured formats.
Generate summaries of research papers and reports.
Ask questions through an AI chatbot grounded in available documents.
Link AI-generated answers to source references for verification.
Build custom knowledge bases using internal enterprise documents.
Support traceability across document analysis workflows.
Pricing
Free Plan
Free
Disclaimer: for the latest and most accurate pricing, please visit the official Iris.ai website.
Frequently Asked Questions
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