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

You won't like us when we're angry... 😤

A little #MotivationMonday for you scientists and researchers out there. And by that, we mean, literally, the science behind motivation. https://t.co/UZvjfYuN9a

📣 In #OEBInsights: @twitnitnit Keynotes at @OEBconference being human in the age of machine intelligence. Here are some thoughtful answers to 10 little questions! #oeb18 @TheIrisAI @ProjectAiur @suNordic https://t.co/uMKOfMBkSk

It's been a wonderful time sharing https://t.co/z1YbQbu2wU with university students in Finland this week. Thank you to everyone who came out, and our demo all-stars @KaritaKasurinen and @Georgi_DD . Not in Finland but still want the workshop experience? (Thread 1/2)

@TheIrisAI and @sparrho are other examples of AI applied to science discovery and citation #force2018

Totally impressed by @MariaRitola’s presentation and her deep understanding of what #ai really is and how it works! 👍👍👍 #advantage18 @TheIrisAI

I forced a bot to watch over 1,000 hours of TED Talks and then asked it to write a TED Talk of its own. Here is the first page.

.@kdolva, featured in Startup Guide Oslo, is the founder of @_noisolation, which builds communication tools to address social isolation. @TheIrisAI co-founder @twitnitnit was also featured! Iris helps students and scientists find the interdisciplinary research they need. [2/5]

In the spirit of Halloween, we wanted to bring back an oldie but a goodie from 2013 about a Haunted House turned lab where sociologist Margee Kerr studies why some brains enjoy fear. Are you one to seek out the thrill of a good scare? https://t.co/IHoFJzsVM8 #Science #Halloween

Today we are proud to announce the launch of the newest #R4R development, the searchable Authors List. Search and communicate with any of the authors currently opted in to hear from #researchers interested in their papers. https://t.co/m1oGlMYBP2 #academia #research

“…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