Iris AI
AI research assistant for R&D teams
Iris AI is a secure enterprise-grade AI research platform that ingests and indexes diverse text-based documents to enable R&D and innovation teams to navigate, extract, and synthesize actionable insights from large research datasets. Built for organizations handling proprietary and scientific content, it combines advanced NLP with robust data security.
Key Capabilities
Iris AI offers the Explore tool that analyzes research paper abstracts, identifies key concepts, and links them to related studies for comprehensive literature reviews. Smart Search uses advanced NLP to deliver contextually relevant results that outperform traditional keyword searches. The RSpace platform supports ingestion of various file types including PDFs and Word documents. A reference-backed chatbot analyzes texts, extracts data, and generates insights from large datasets. The platform is designed for enterprise security requirements, making it suitable for organizations working with proprietary research data.
Who Should Use Iris AI
Iris AI is built for R&D teams, pharmaceutical companies, biotech firms, academic institutions, and innovation departments that need to process and analyze large volumes of research literature. It is particularly valuable for organizations that need to work with proprietary documents alongside published research in a secure environment.
Getting Started
Contact Iris AI through iris.ai to request a demo and discuss your organization's specific needs. The platform is enterprise-focused with custom deployment and pricing based on organizational requirements. A consultation with the Iris AI team will help determine the right configuration for your research workflows.
Pricing & Accessibility: Iris AI uses custom enterprise pricing based on organizational needs and deployment requirements. Pricing is not publicly listed. Contact the sales team at iris.ai for a demo and personalized quote. The platform is designed for institutional and enterprise customers rather than individual researchers.
Why Consider Iris AI: Iris AI is the research platform built for enterprise security and scale, enabling R&D teams to extract insights from both proprietary and published research documents with advanced NLP that outperforms traditional keyword-based search.
Pros
- Enterprise-grade security for proprietary research documents
- Advanced NLP-powered Smart Search outperforms keyword-based tools
- Supports diverse document types including PDFs and Word files
- Reference-backed chatbot provides verifiable, citation-linked insights
- Purpose-built for R&D and innovation team workflows
Cons
- No public pricing makes cost evaluation difficult
- Enterprise focus means it is not accessible to individual researchers
- Requires organizational onboarding and setup
Who is this for?
Conducting large-scale systematic literature reviews for R&D, analyzing proprietary research documents in secure environments, extracting insights from pharmaceutical and biotech research datasets, accelerating innovation research with AI-powered concept mapping, supporting patent and competitive intelligence research
Frequently Asked Questions about Iris AI
How much does Iris AI cost?
Iris AI uses custom enterprise pricing that is not publicly listed. Pricing depends on your organization's size, document volume, and deployment requirements. Contact their sales team at iris.ai for a personalized demo and quote.
Can Iris AI work with proprietary documents?
Yes, Iris AI is built with enterprise-grade security to handle proprietary and confidential research documents. The RSpace platform supports ingestion of PDFs, Word documents, and other text-based file types in a secure environment.
How does Iris AI's Smart Search differ from Google Scholar?
Iris AI's Smart Search uses advanced NLP to understand the context and meaning of your queries, delivering results based on semantic relevance rather than keyword matching. This produces more accurate and contextually appropriate results, especially for complex research questions.
Pricing
paid
Custom pricing
Details
APIYes
Open SourceNo
CollaborationYes
LanguagesEnglish, multiple research languages
Learning CurveModerate
Integrations
Enterprise systemsdocument management platforms
