Iris.ai - Your Research Assistant – Leading AI for your research challenge

Powerful Tools for Your Research

We have built a world-leading AI engine for scientific text understanding. Applied to literature reviews, data extraction, post-market surveillance or any other task involving thousands of documents like papers or patents, this engine will make your life a whole lot easier.

Literature reviews

Data Extraction

Post Market Surveillance

Digitizing R&D

Natural Language Understanding

Iris.ai has spent the last 5 years building an award-winning AI engine for scientific text understanding.

This engine is applied to a variety of challenges within broad scientific, material sciences, chemical, and medical topics.

Literature Reviews

Expand your literature review discovery beyond endless keyword queries. Narrow down your reading list without needing to read a single paper.

Data Extraction

As the Iris.ai engine understands the context of scientific, technical and medical language it can link entities described to the data listed, and organize it for you.

Post Market Surveillance

Systematic and repeated literature reviews, including extraction of data – PMS is the perfect use case for our engine.

Digitization of R&D Knowledge

The ultimate goal of Iris.ai is to build an AI Researcher, that will be an essential part of any R&D team. We are always looking for new exciting challenges to get us there, so get in touch for co-development and ideas of what we can do together.

“…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