Current challenge: Data preparation and engineering tasks represent over 80 of the time consumed in AI projects. How we create a win-win situation: The company focuses on the methodologies and tools we ensure that their data is properly annotated, augmented, structured, and ready for deployment. Our solution: - Data structuring is an operationally and technically complex task. We build an end-to-end solution, maximising efficiency gains for the customer. No overhead costs for managing different specialised service providers. - We focus on technically scalable solutions that are designed to support customers from design to production. Only a substantial improvement in quality of data structuring will allow real AI applications to be brought into production, reducing costs and thus democratising machine learning. - We offer a Swiss quality solution standard for AI applications, with a dedicated focus on data privacy & compliance, which are crucial for success in Europe.