Solutions

Get the Iris.ai tools for your University

Iris.ai’s Explore and Focus tools semi-automate the research landscape mapping – speeding up the literature discovery and review phase of your research process.

main_explore_laptop

Reduce time

Decrease the manual effort to build a precise reading list up to 90%

Increase quality

Lower the chance of missed content with more than 20%

Interdisciplinary discovery

Increase relevant research discovery across disciplines

Premium access

For Universities For R&D DepartmentsFor Individuals

  • Iris.ai helps students and researchers navigate through the overwhelming volume of scientific literature and find relevant content for any research topic.
  • Educational institutions can get started with a 1-year license of Iris.ai Premium tools. The pilot includes guided workshops on campus and gives your researchers and students full access to the tools.
  • The tools come integrated with access to all Open Access literature and can be connected to a variety of other data sources.

Learn more about University licenses
For Universities For R&D DepartmentsFor Individuals

  • We are currently working on PoC projects with several research breakthrough driven corporate R&D departments.
  • The Iris.ai technology can be connected to a variety of written content
  • Get in touch to discuss your needs and our API solutions

Learn more about Corporate and API licenses
For Universities For R&D DepartmentsFor Individuals

  • The Iris.ai Exploration tool is free for individual knowledge seekers
  • Individual paid access to the premium tool is not yet available, so we suggest you reach out to your librarian or manager and suggest a university or company license.
  • For other ways of getting individual access, sign up for a free account and join our community

Try the free tool
university
industry
individual

As seen in:

nature

“Tools such as Iris.ai […] can accelerate researchers’ entry into a new field”

Read full article

theengineer

“[the] goal is to bypass the need to know the terminology of the field”

Read full article

Science Magazine Logo

(a brief honorary mention)


Read full article

Case studies

Applicability of composite materials in space

Non-domain experts spent 4 hours finding relevant research articles and summarizing them. Compared to Google Scholar, Iris.ai’s exploration tool boosted the research team’s efficiency remarkably. The team that used Iris.ai was significantly stronger on two accounts:


  • finding three papers with a top score in terms of fitting the problem statement
  • showing higher quality of key findings structured around identified topics drawing superior conclusions and summarizing the relevant knowledge

See research paper on evaluation framework

Identifying new targets and pathways to treat eczema

Four teams were tasked to create a list of new targets and pathways in 30 hours using Iris.ai and other tools. The team that found most of its research papers using Iris.ai got the highest points from a jury of domain experts on the following accounts:


  • Quality of findings
  • Conclusions follow the latest trends in research
  • Number of high quality identified molecules, pathways and targets

See the research question

Identifying research gaps

Chalmers University’s Computer Science department did one of the world’s most substantive research landscape mappings of autonomous vehicles in late 2016, starting with more than 11,000 papers. In parallel with performing the manual work (3-6 months of work with several people involved), they used the Iris.ai technology to recreate it alongside the manual results. As the Iris.ai tools showed significant promise, when the mapping study needed updating with another 11,000 papers published since June 2016, the Iris.ai tools were put into use. This study demonstrates:


  • the boost in productivity and efficiency researchers can gain with the Iris.ai technology;
  • how the Iris.ai technology can assist researchers in bias-free literature discovery;
  • and how this leads to a reduction of manual work by 2-3 months.

Method and results will be published in collaboration with Chalmers early 2019

Contact us to learn more!

Schedule a demo and learn more about how Iris.ai might work for your organization.

OUR COOKIE POLICYIn order to provide our services and give better more secure experience Iris.ai uses cookies. By continuing to browse the site you are agreeing to our use of cookies.