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

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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

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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

The internet is still buzzing with news from #CES2019. Curious about where #AI stands in the land of consumer electronics? AI was a major star of the show this year, with a major theme being centered around Voice Assistants such as Alexa and Google Home. https://t.co/9cqyXagEsg

Congratulations to these amazing women for making the @forbes list for "The World´s 50 Women in Tech" @chspiten from Blueeye Robotics, @twitnitnit from @TheIrisAI, @kdolva from @_noisolation 👏🇳🇴

We're honored to announce that IrisAI has been named one of the Top 30 participants in the IBM Watson XPrize competition! We join 29 other competitors from 8 different countries, all focused on using AI to solve the world's grand challenges. https://t.co/xad5BOUWUu #ai #xprize

With the new year comes a new update for IrisAI! Version 4.3 launched today with a much-requested addition: PubMed Integration. Read our blog for more details: https://t.co/gSXWqMGaZD #ai #science #research #PubMed #scientist #HigherEducation #ArtificialIntelligence #researcher

Miten tiedettä voisi uudistaa tekoälyn avulla? Tosi mielenkiintoinen Tekoälykäs Podcast by ⁦@attesakari⁩ ⁦@MariaRitola⁩ ⁦@TheIrisAI⁩ #AI https://t.co/QH3oRWdb5F

Not only is Kevin Frans just a senior in high school, but he's solving some of the greatest problems holding back robotics and AI, such as the ability to apply previously learned knowledge to new problems

https://t.co/FWeCrciOya #AI #ArtificialIntelligence #Robotics #Technology

From all of us on the IrisAI team, Happy Holidays and thank you for being part of our community in 2018! Here's to a merry holiday season, and a new year full of knowledge and discovery.

A huge congratulations to our dearest @twitnitnit for gracing the @Forbes list of the World's Top 50 Women in Tech! Plus, a hearty shout out from the IrisAI team to all of the women on this list for all of the world-changing work they do. https://t.co/aG1PHq7w0Z #womenintech

Ready to hear all about “The https://t.co/cEBzyAV1dt project – the Future of Science” with @twitnitnit, founder of @TheIrisAI! #DeloitteDigiLU

AI is taking hold in industries all over the world, and university libraries are no exception. How can university libraries prepare for the future of AI-enabled literature? https://t.co/agiSrofi9Y #ai #ArtificialIntelligence #HigherEducation #LibrarianProblems #librarytwitter

“…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