Home – Iris.ai - Your Science Assistant

Your R&D Science Assistant

Building a precise reading list of research documents to solve your problem – 90% faster.

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

Our very own @RoninWu spent the weekend at @science_b0 's Decentralized Data Infrastructure for Science workshop. Thrilling to see so many people tackling the various challenges that exist for researchers today. #blockchaintechnology #openscience #sciencematters #mylifeforscience

Meet John LaCava of Rockefeller University who is currently conducting research on the role of mobile genetic elements in cancer. Check out the latest blog post on IrisAI to learn more about his work:
https://t.co/q0gf35c7ru ... #ScienceMatters #AcademicTwitter #CancerResearch

The latest issue of our newsletter Discovery Weekly is out! This week we explore #ProjectAiur, #OpenAccess research progress in the #EU and help the IrisAI community with #CareerAdvice. Click to view: https://t.co/FNhs4pXw1O … #MyLifeForScience #AI #ScienceMatters

Just witnessed a really impressive roundtable hosted by @TheIrisAI on how #AI and #blockchain can help make the world of #science better, more efficient and at the same time rewarding for #researchers

The team behind https://t.co/LAESgvDk0u launched a community-governed AI engine, Project Aiur, to further the reach of scientific knowledge around the globe. https://t.co/BrRguncaKI

A question from the IrisAI community (https://t.co/ER5G4xa7tB): What advice would you give to someone just starting their career in research or academia? #AcademicTwitter #Academia #Research #postdoc

Hello from the #WorldBlockchainForum in beautiful Dubai! A short message from IrisAI CEO and Co-Founder Anita Schjøll Brede on the announcement of the team's new blockchain project, Project Aiur. #MyLifeForScience #ProjectAiur #Blockchain https://t.co/8R7oipTPj6

Super excited for the upcoming Roundtable with @TheIrisAI. Look how beautiful this room at the royal society of chemistry is

How does the combination of AI and Blockchain technology lead to the democratization and disintermediation of science? https://t.co/5yUP4TN82O #MyLifeForSciene #ProjectAiur #AI #Blockchain

“[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