Challenge: A global food manufacturer needed to optimize their beer production planning and improve accuracy in predicting production outcomes.
Solution: We developed a virtual model of the customer's production plant, enabling them to test various scenarios and predict their impact on beer production.
Challenge: A global FMCG company sought to accelerate their product innovation process without compromising quality.
Solution: We implemented AI co-workers to semi-automate the product innovation process, working in collaboration with human experts.
Challenge: A leading chemical manufacturer needed to optimize PVC production by accurately predicting cooling tower water temperatures.
Solution: We analyzed sensory and weather data from 2015 to 2021, using regression models, including an advanced LightGBM model, to forecast cooling tower water temperatures.
Challenge: A global steel manufacturer needed to optimize steel wire quality by ensuring uniform phosphate coverage.
Solution: We built and implemented a custom AI solution to transition from manual to data-driven inspection. Our machine learning models now predict phosphate density directly from raw SEM images.
Challenge: A European public sector organization needed guidance on ethical AI deployment and adherence to guidelines.
Solution: We provided ethical advisory and technical use case assessments for their AI-based solution.
Challenge: A regulatory agency needed to improve efficiency in drafting contracts and clauses by making vast collections of documents easily searchable.
Solution: We developed an AI solution using advanced NLP techniques to create an intelligent search engine for their document collection.
Challenge: A European public sector digital agency needed to identify and prioritize AI use cases to enhance their operations.
Solution: We partnered with the agency to ideate, assess, and prioritize AI use cases, focusing on design thinking and fraud detection.