iComplai is a Munich-based startup in the field of product safety. It supports companies in assessing, monitoring, and predicting product risks for consumer goods worldwide, with a focus on food.
iComplai aggregates information from various sources—such as government agencies, e-commerce platforms, and consumer portals—transforming it into machine-readable datasets and applying machine learning (ML) algorithms, such as anomaly detection and trend prediction. An intuitive and interactive dashboard presents key findings while providing deep and actionable insights.
Founder Asli Solmaz-Kaiser brings 14 years of experience in the product safety industry.
iComplai is a Munich based start-up in the field of product safety. It helps companies assess, monitor and predict the product risks worldwide for consumer goods, with a focus on food. iComplai collects data from various sources including official bodies, ecommerce platforms and consumer portals and transforms these into machine readable datasets, enabling machine learning algorithms like anomaly detection and prediction. The information is presented in an interactive, continuously updated, easy to use dashboard, providing deep and actionable insights for the users. The platform is especially requested by the companies with complex supply chains and the ones which enter into new product categories or re-formulations. The company is founded in April 2020 by Asli Solmaz-Kaiser, who brings 14 years of management experience in the product safety industry.
