Iris.ai is deep into a crucial strategic transition. After years invested in developing our algorithmic core for the machine understanding of scientific text, we are now launching a unique, content-centric researcher workspace. With this AI-powered workspace, which incorporates frontier NLP technology, researchers of all affiliations –corporate, academic, independent– will be able to tailor our different tools to their preferred work process. Be it search, filter, extract or summarise, our incredible team –currently 23-members strong– has researchers’ knowledge processing needs covered.
The use cases we are initially focused on include, among others, new product research, application development, Post Market Surveillance, Pharmacovigilance, regulatory compliance, or IP-based competitive analysis. And this is just the beginning. Our R&D pipeline will continue to feed our researcher workspace new modules and functionalities for science-based innovators. Bringing it all together, early in 2022 we will launch a new funding round to finance our product and business development roadmap –adding to the c. €5 million secured to date from private and public investors–.
