Katonic AI is an Australian AI-ML company with offices in Sydney, Singapore, and Mumbai. Katonic AI combines the revolutionary capabilities of Generative AI and the power of traditional machine learning all in one place. It has two flagship products: MLOps platform and a Generative AI platform. The Katonic Machine Learning Operations (MLOps) Platform is a collaborative platform with a unified UI to manage all data science in one place. Katonic MLOps Platform is for customers and developers to introduce the MLOps practice into their production systems. The Platform combines the creative scientific process of data scientists with the professional software engineering process to build and deploy Machine Learning Models into production safely, quickly, and sustainably. The Katonic Generative AI Platform is known for its simplicity and intuitiveness, allowing small, medium, and large business owners to rapidly build powerful Enterprise-grade AI Applications in minutes. This no-code platform is powered by the highly awarded Katonic MLOps Platform that Enterprises use to manage the entire process of data preparation, model training, model deployment, model monitoring, and automation end-to-end with high accuracy, reliability, and efficiency. Both platforms run in a Kubernetes cluster and can be deployed anywhere, such as multi-cloud, on-premises, or the edge. Katonic AI is also part of the NVIDIA Cloud Validated ecosystem. As a company, Katonic AI is backed by Australia’s largest investment fund, Artesian Investments and Boab AI and has the unique distinction of being the only AI company from APAC to be featured in the prestigious Everest Group’s MLOps Products PEAK Matrix® 2022 and to win the Frost & Sullivan Best Practices Entrepreneurial Company of the Year Award in the APAC MLOps industry.
Katonic AI is an end-to-end enterprise AI solution for businesses. Its generative AI capabilities are built on the award-winning Katonic machine learning operations platform. Using Katonic AI, businesses can manage the entire process ofdata preparation, model training, model deployment, model monitoring, and end-to-end automation with high accuracy,reliability, and efficiency.