Home – Iris.ai - Your Science Assistant

The future of Science

We’ve built AI tools to take you from a problem to a precise reading list in less than two days. Read more.

We are also launching Project Aiur to open up and validate science in a tokenized model. You can join in these efforts today!

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Exploration of interdisciplinary research

Consistently outperforming old school search tools, Iris.ai starts from a paper of your choice, "fingerprints" it based on machine extracted keywords and contextual synonyms and hypernyms, and matches the fingerprint against more than 83M 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 to a reading list
Corpus analysis
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

Researchers and students, join us for the Aiur #Airdrop campaign! We invite you to ideate ways how to fix the challenges around #peerreview. We’ll distribute 5,000 AIUR tokens to participants who send ideas and give votes for the best ones. Learn more: https://t.co/yMY3X22xVq

Big news! The Aiur token pre-sale is now open exclusively to students and researchers. It's time to take the first steps in changing the world of science for the better. https://t.co/kyOUovuw2F #AcademicTwitter #Students #Academia #science #openaccess Open the thread for more!

The #peerreview system is largely controlled by big publishers, sorely lacking in transparency, and in dire need of innovation. Could a more open, interactive, and democratic approach be effective? @MariaRitola explores in collaboration with @Protohedgehog https://t.co/5ac7ejwVqW

Where did current scientific publishing system go wrong, and how can we shape it now to pull the world’s knowledge back down from the ivory towers of big publishers? @twitnitnit explores the then and now of scientific publishing on @TheNextWeb https://t.co/c0gQURqT1I

It seems that university #libraries have been at the mercy of just continuing to agree to whatever the big five negotiate…but maybe it’s time to start a little bit of a #revolution at this point. #academictwitter https://t.co/07SqHSEp4K

#AI rules so much of our world. Is it unbiased and transparent? @twitnitnit dives into the ethics of AI with other industry leaders in this new @theAtlantic video: https://t.co/yrkKrwq1ce @waitbutwhy @TheIrisAI @ShannonVallor @curthopkins @markoff @KirkBresniker @beena_ammanath

Happy #LGBTSTEMDay from the https://t.co/z1YbQbu2wU team! Be your wonderful, colorful sevles, today and everyday. Here's to many many more. Take a moment today to show your support by learning more about LGBT+ in STEM and the importance of the day here: https://t.co/7qX31DlzsM

#4thofJuly2018 celebrates freedom and standing up against systems that don’t work for the people anymore. Today we reflect on our mission: free the world’s scientific knowledge from those who keep it locked away for profit. Knowledge is created by the people & should be theirs.

In our latest #dswebinar Anita talked about some of the problems researchers face with their current toolset and mentions how @TheIrisAI works with the researcher to streamline and better the process of knowledge discovery @twitnitnit
https://t.co/MBo2nEjJJZ

We've heard horror stories of time wasted, cherry-picked data, and missing details. It's all too common in the current research landscape. What have your experiences been? #AcademicTwitter #ReproducibilityCrisis #researchers #academia #science

“[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