Home – Iris.ai - Your Science Assistant

Research discovery with artificial intelligence

Go from millions of documents to a precise reading list in just two days.

Exploration of interdisciplinary research

Consistently outperforming old school search tools, Iris.ai builds an interdisciplinary research map based on a problem statement or research paper of your choice. Iris.ai does this by building a "fingerprint" using machine extracted keywords, contextual synonyms and hypernyms, then matches the fingerprint against more than 70M Open Access papers

Bypass keyword search
Bypass citations
Navigate papers visually

Bookmark papers
Download full text directly
Access full history

Use the free tool

Free Premium

Full research landscape mapping

Use the Exploration tool starting from your free text description of the problem and a result editor, to build a large corpus of documents related to the problem statement. Use the iterative Focus tool to narrow down to a precise reading list.

Incorporate other databases
Exploration from free text
Edit exploration results

Focus down a reading list
Export your reading list
Machine topic filtering

Get access to the premium services

Natural Language Understanding

Iris.ai uses a combination of keyword extraction, word embeddings, neural topic modeling, word importance based similarity of document metrics and hierarchical topic modeling. The approach is mainly unsupervised but we utilize an evaluated annotation set from our community of AI Trainers for benchmarking and improving our tools.

Key information extraction
Key terms identification. Marking of possible contextually disambiguating information. Forming basis for a document fingerprint.

Neural Topic Modelling
Clustering of semantically similar documents. Cluster labeling. Document fingerprint update.

WISDM
Fingerprints are matched using the WISDM document similarity metric.
Basis for document fingerprint indexing.

HOURS SAVED

PER YEAR

WITH A TEAM OF

RESEARCHERS

Saved time and increased radical discovery

Industrial researchers use on average 3 weeks to build a reading list, with a self-reported 70% confidence. Using the systematic academic approach, we save you time and resources – while increasing the chances of groundbreaking interdisciplinary discovery.

Up to 90% time reduction
85% precision
Increase interdisciplinary inspiration
Organize your internal R&D documents

LATEST NEWS

Together with 11 of the most inspiring Nordic #ArtificialIntelligence players, we are forming a new alliance to accelerate AI adoption in the Nordics! #NordicAIAlliance #openness #transparency https://t.co/TfnqOiY6hl

How can you positively impact the lives of a billion people in a decade? Watch the #videointerview with @twitnitnit, founder of @TheIrisAI and find out her views. #DeloitteDigiLU #ArtificialIntelligence #AI

We are proud to be among the 8 companies who received investments from @designtoimprovelife through the #indexaward pipeline. Read more about how they've expanded. https://t.co/EItLvtpNhw #designtoimprovelife #dtilfund

Good morning Trondheim! Excited to be in town for #BIBSYS19 - come geek out with @twitnitnit about AI and literature reviews!

On #InternationalWomensDay, we are proud to celebrate women in STEM, including our own https://t.co/z1YbQbu2wU team with 2 female founders and a nearly 50% female team with members in research, business and tech! Happy #IWD2019

https://t.co/6YuG38VZMG

“Knowledge should not be accessible only to those who can pay,” said Robert May, chair of UC’s faculty Academic Senate. “The quest for full open access is essential if we are to truly uphold the mission of this university.”

https://t.co/ozAmZmhCZ4

Today at School of Business and Management’s #PDW we are learning about the scientific discovery with #AI from @MariaRitola and @TheIrisAI

Thank you for visiting @UniLUT @MariaRitola. Complex problems can be solved with @TheIrisAI and interdisciplinary expert teams. #knowledge #teams #trust #AI https://t.co/5RI7gzOacE

A recent @wef article featured 12 ways that the tech sector could tackle the immense global challenges presented by climate change. In our latest blog, explore how you can use AI to "make information more useful" and create positive change.

https://t.co/tfmVv8ACaq #climatechange

We're proud to share that @twitnitnit will be a keynote speaker at @BIBSYS conference, Mar 12-13! If you're visiting the conference this year, drop by the https://t.co/z1YbQbu2wU exhibitor booth as well and say hello. 👋#bibsys2019 https://t.co/hfM6oiYiXL

“…tools such as Iris.ai…can accelerate researchers’ entry into new fields.”

Andy Extance

“[Iris.ai] might just revolutionize scientific research”

Phil Barker

“Computers can’t yet replace humans, but they can do a great job handling the mundane clutter of our lives.”

Fast Company’s Most Innovative Companies 2017

“One wonders just what she’ll be capable of when she’s all grown up.”

Andrew Wade

“Iris.ai drastically expedites research.”

Haje Jan Kamps

“Access to reliable knowledge – the academic literature – is becoming a fundamental bottleneck for humanity.”

Owen Gaffney and Denise Young

“humans need increasingly smarter, machine-assisted ways to navigate the ever-growing mountain of scientific knowledge”

Natasha Lomas

“…especially useful when you don’t know the exact keywords for the type of research you are looking for”

Bahar Golipur

“As AIs take on more responsibility in managing the discovery process, the science community may free up significant portions of the time they currently devote to scanning for trends.”

Aaron Frank

“This type of assistant is a huge asset to academics and scientists.”

Sam Cohen

“artificial intelligence (AI) that enhance or even replace the role of humans each step of the way”

John Bohannonur

“…built with smart, savvy tech leaders”

Ed Sappin

“found to have the most potential to positively impact one billion people”

Vanessa Bates Ramirez

“Iris.ai is on its way to transform from Science Assistant to fully-fledged, curious Scientist – and we can’t wait to see the impact Iris.ai will have on the scientific community”

Elsa Snellman