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Iris.ai

Iris.ai is an AI-powered platform designed to accelerate research and innovation processes. At the forefront of AI for science, Iris.ai offers tools such as RSpace™ to enhance R&D activities by scalin

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What is Iris.ai?

Iris.ai is an AI platform built to help researchers and R&D teams work more efficiently. It provides tools to search through scientific literature, identify patterns in research data, and extract practical advice from complex information. The platform is designed for academic researchers, pharmaceutical companies, biotech firms, and other organisations where understanding the existing research landscape quickly is important. RSpace is a key component that helps teams organise and scale their research activities. The platform includes features for data protection and secure handling of sensitive research information.

Key features

Literature search and analysis

AI-powered search across scientific papers and research databases to find relevant studies quickly

Insight extraction

Automatically identifies patterns and key findings from large volumes of research material

RSpace integration

Tools for organising research data and making findings actionable across teams

Research collaboration

Supports team-based R&D work with shared access to insights and data

Data security

Implements protection measures for sensitive research information

Resources and education

Provides webinars and newsletters to help users get the most from the platform

Pros & cons

Advantages

  • Saves time on literature reviews by automating much of the search and analysis process
  • Helps teams spot connections between research areas that might be missed manually
  • Freemium model means you can try the basic functionality without paying upfront
  • Designed specifically for scientific research, so it understands domain-specific terminology and concepts

Limitations

  • Free tier may have significant limitations on the amount of data you can analyse or number of searches
  • Requires some familiarity with research practices to use effectively; not a tool for casual users

Use cases

Pharmaceutical researchers conducting literature reviews for drug discovery projects

Biotech companies scanning for competitor research and emerging trends in their field

Academic teams preparing research proposals by quickly surveying existing work

R&D departments identifying gaps in current knowledge where innovation could happen

Research institutions managing large collaborative projects across multiple teams

Ready to try Iris.ai?

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Pricing

Free

Free

Basic access to literature search and analysis tools; limited search volume and data handling

Paid plans

Contact for pricing

Higher search limits, full RSpace access, team collaboration features, advanced data security, priority support

Get started with Iris.ai

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Try Iris.ai free
  • Free plan available
  • No credit card