Iris.ai RSpace

What it does

Iris.ai RSpace is a research platform for working with internal R&D documents, scientific papers and patents in a controlled environment. Researchers can bring together a collection, get an overview, narrow it to relevant material and ask questions across the content. Its tools also extract and standardize facts from documents that use different structures or terminology.

Monitoring helps teams follow new publications and changes in a research area. RSpace is useful for industrial research, competitive intelligence and product-development work where public literature must be considered alongside private material. The deployment can be specialized to a topic and starts with a demonstration. Choose the sources and review process deliberately, and inspect the original evidence before treating a generated synthesis as a research conclusion.

What it can do

• Research collection search
• Document-set question answering
• Content screening
• Fact extraction and standardization
• Publication monitoring
• Internal and external source collections

Before you choose

• Research outputs should be checked against their underlying documents.
• Source access, deployment and pricing are established during onboarding.

Listed under

• Data
• Research

Get started

1. Define the research topic and internal and external sources to include.
2. Load or connect the collection and test search and extraction.
3. Review evidence and configure monitoring for ongoing research.

Request a demonstration to confirm the collection, users and deployment scope.

Iris.ai RSpace doesn’t publish prices. You get a quote by contacting sales. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

• RSpace™: AI Literature Review for R&D Teams | Iris.ai ↗iris.ai

Company website

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Human review

Checked by a person

knowledge_base

manual_review

Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.