The Suntory Group uses AI extensively in R&D, SCM, and other fields, including production planning  and anomaly detection on production lines. Their goal is to maximize the performance of AI in real-world use cases, but this is difficult due to challenges such as data drift and model drift, as Japanese government agencies have also documented in their AI guidelines .
For AI systems to continuously provide business value, it’s critical to continuously validate the quality of input data and output predictions, ensure that models are being properly re-trained, and monitor real-world model performance across time, model versions, and dataset versions. Before the introduction of Citadel AI’s products, these steps were completed manually, which required significant engineering time and cost.
 Suntory Foods and Hitachi have developed an AI-based production planning system. https://www.suntory.co.jp/softdrink/news/pr/article/SBF0756.html
 From "Machine Learning Quality Management Guidelines," AIST, 2020. https://www.aist.go.jp/aist_j/press_release/pr2020/pr20200630_2/pr20200630_2.html
Suntory System Technology Ltd., the Suntory Group's IT subsidiary, has successfully verified Citadel AI's products in Suntory’s R&D and SCM applications. Our products help Suntory to:
Moving forward, the Suntory Group will promote the use of Citadel AI's systems as a data governance foundation in its company-wide AI platform to maximize business value.
Unlike traditional software, the accuracy of AI software quickly deteriorates in a real-world, rapidly changing environment. It’s essential for companies to have quality management tools in place to maintain AI reliability and manage business and security risks.
Citadel AI offers two easy-to-use products that improve reliability at different steps of the ML lifecycle: Citadel Radar (serving time) and Citadel Lens (training time). Our products can be used as a hosted SaaS service, in a private cloud, or on-premise.
In contrast to low-code tools that automate AI model creation, Citadel AI’s products validate and monitor AI models across the full ML lifecycle, from testing to deployment.
Citadel Radar and Citadel Lens follow the principles of "data-centric AI", and can be applied to any AI model through a black-box testing approach, without modifying the customer's existing AI models and development workflows.
Citadel AI is an MLOps startup based in Tokyo, and raised seed funding from UTokyo IPC and ANRI in 2021. The co-founder & CTO was the former product manager for ML infrastructure at Google Brain, and is currently leading Citadel AI’s product and engineering teams.
We’re actively recruiting talented software engineers to join our team – apply here!