Self-learning knowledge graph for enterprise intelligence

Strise AS (previously Mito.ai) is a startup in Norway focused on using AI 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 - a graph of entities, represented as nodes, connected by relations. 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 SME phase 2 proposal the main objective is to further develop our data processing platform, including API, and explore additional verticals besides sales support. This will enable us to extend our customer base and strengthen our possibility of success in an international market.