Norwegian scientific AI startup Iris.ai raises €7.64million with its Series A funding round
A European scientific AI startup uses AI language models to accelerate scientific research processing. With the latest raise, it secured further funding from Silverline Partners and the EIC Accelerator, bringing its total funding to €16M.
Iris.ai is a world-leading and award-winning AI engine for scientific text understanding. It is co-founded and run by serial founders Anita Schjøll Abildgaard and Jacobo Elosua, alongside AI researcher Victor Botev, and has a cross-European team around it. By now, the founders and the team have placed themselves at the forefront of AI in scientific text, with solid in-house research efforts on NLP.
It is a comprehensive platform for all research-related knowledge processing needs. Its RSpace solution provides smart search and a wide range of intelligent filters, reading list analysis, auto-generated summaries, autonomous extraction, and data systematization. The company helps clients, from corporate R&D departments to university researchers, unlock the latest scientific insights beyond human capabilities alone.
Its approach reduces the potential for hallucinations and can accurately categorize, navigate, summarize, and systematize data and facts from academic papers, patents, and all other technical or research documentation. Organisations reliant upon the latest scientific knowledge can quickly gain actionable insights at scale.
Silverline Capital, a pioneering European growth equity firm, is the lead investor for this funding round. Its contribution is being matched by the European Innovation Council (EIC) Accelerator Fund, the flagship startup grant from the EIC, following previous backing from the Fund in January 2023.
This investment is a testament to the momentum we’ve gained over the previous year.
said Anita Schjøll Abildgaard, CEO and co-founder of Iris.ai.
Since January of last year, we’ve overhauled our approach to take the best of generative AI and combine it with the domain expertise and accuracy of our own in-house scientific language models.
We’ve onboarded a range of new clients successfully using our RSpace toolsuite for research in diverse areas like material science, food science, medical, biotech, agriculture, chemistry, automotive, and cosmetics.
We believe in the team in its mission to empower researchers to achieve ground-breaking innovation with the help of proprietary AI tools.
said Evgeny Angelov from Silverline Capital.
The team has proven its capabilities to stand out in a rapidly evolving field through exceptional technical knowledge and scalable go-to-market strategy while also focusing on data privacy and fact-based AI knowledge. We are proud to support a European company with global goals.
With this investment, Iris.ai plans to develop its flagship offering, the RSpace further. In 2023, Iris.ai developed a solution for the RSpace to measure the factual accuracy of its outputs and will use the investment to increase the platform’s factual capabilities further, enabling streamlined processes for researchers at corporations and universities.
We are grateful for the support and confidence shown by our investors. This funding will allow us to progress our mission to make sense of all the world’s scientific research – and make it actionable.
said Schjøll Abildgaard.