Strise AS is a startup in Norway focused on using AI (artificial intelligence)? and machine learning to solve real world problems. We are developing a platform and an application programming interface (API) that enables our customers to discover new knowledge from vast amounts of data. The ?core foundation of our data processing platform is a knowledge graph. At is core it's an expression of how the enterprise world is connected. By analysing ?and adding millions of multilingual documents through this graph daily, it becomes an evolving and self-learning structure that, in real-time, represents what is going on in the world, enabling our customers to react in due time to relevant and business critical events. Our context relevance system uses state-of-the-art machine learning to assess the relevance and impact of each event. Compared to our competitors, our system is able to leverage its self-learning capabilities with much less training data. Currently we are working closely with several pilot customers in developing a solution that helps sales representatives keep and maintain customers. In addition, our solution is able to detect commercial risks in the current portfolio of customers. In the Women TechEU proposal, the main objective is to fund activities to further detail and validate our business plan, and to align this with continuous AI technology developments. This is a resubmission. A previous project proposal was submitted to HORIZON-EIE-2021-SCALEUP-01-03 "Women TechEU". This project proposal got a score 12.5/15, ie. well above threshold (10). See attached Evaluation Summary Report.
Project leader: Runar Søråsen
Institution: STRISE AS