Katonic Data Science & MLOps Platform
KATONIC PTY LTD · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Katonic.ai is an MLOps platform helping businesses realise the value of enterprise AI faster with its leading enterprise MLOps platform. Katonic 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. Katonic MLOPS Platform runs in your Kubernetes cluster and can be deployed anywhere - multi-cloud, on-prem or edge.
Many large enterprises around the world trust the Katonic ML Ops platform. They have chosen Katonic as their ML tool of choice because the Business needed to get more use cases into production faster. Katonic accelerates time-to-value by enabling data scientists to get more models into production faster and keep them accurate by continuously monitoring and automated retraining. The Platform is designed to Solve mission-critical ML challenges along the entire lifecycle with greater speed and agility to discover opportunities that can mean the difference for your business.
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Katonic MLOps Platform delivers the following AI/ML functionality
- Spins up distributed, scalable, machine learning, and deep learning training environments in minutes rather than months — on-premises, public cloud, or in a hybrid model.
- Leverages the power of containers to create a complex machine learning and deep learning stacks that include distributed TensorFlow, Apache Spark, and Python ML and DL toolkits.
- Enables a choice of programming languages and open-source tools to support even the most complex ML pipelines. For example, start with data pre-processing in Spark with Scala, followed by model development with TensorFlow on GPUs, and finally model deployment on CPUs with TensorFlow runtime.
- Implements CI/CD processes for your ML projects with a model registry. Model registry stores models and versions created within Katonic ML Ops Platform.
- Improves the reliability and reproducibility of machine learning projects a shared source control repository (GitHub & BitBucket).
- Enables the deployment of models in production with secure, scalable, highly available endpoint deployment with out-of-the-box auto-scaling and load balancing.
- Allows data scientists to focus on the core task of building ML models to improve business outcomes rather than managing infrastructure.
- Enables Out-of-the-box application images to rapidly deploy containerized environments – sandbox, distributed training, or serving (inferencing) — with popular ML and DL tools, interfaces and languages. Such as Python, R-Studio, TensorFlow, Spark, and more.
- Enables the creation of custom application images with any combination of tools, library packages, and frameworks to suit your needs.
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- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
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7 linksLinked repositories
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