Support your food safety decisions with machine learning
AI-powered early warning system.
iComplai is a scalable browser-based intelligent platform that enables food companies to proactively detect raw material and supply chain risks using AI-powered capabilities, analyze and monitor potential causes and impacts to avoid costly recalls.
iComplai provides End2End fully automated integration (4+ million new data points are added daily in average), processing and presentation of a wide variety of data, such as raw material, product and recall data, from various sources to date into clear and actionable insights. These insights are customised for users delivered in a variety of formats (e.g., periodic reports, alerts, etc.). This enables organizations to reduce manual and labor- and time-intensive processes, such as searching, elaborating, and delivering decision-relevant information needed to quickly identify risks and make strategic decisions.
Using state-of-the-art artificial intelligence (AI) and machine learning (ML) technologies, such as NLP, data is first checked for quality and integrity, pre-processed and classified. Then, this prepared data, along with 13+ billion possible historical data to date, is used to train an AI engine coupled with an early warning system to detect anomalies, assess and predict risk. The AI engine is constantly being improved to deliver better results.
The support of data analysis, visualisation and machine learning also reduce costs, save time and help you extend your knowledge to a higher product variety.
