CODEX ML Ops Platform - Accelerate Data Science

In the digital world, data is a key asset for any organization. Being able to accelerate data science by handling, analyzing, and gaining insights from data is a huge advantage. But, as data grows in size and complexity, companies face tough challenges with storing, processing, securing, and managing it.

The CODEX ML Ops Platform accelerates data science

Full support of the data science life cycle

It enables data acquisition and preparation, data collaboration, traditional BI, ML & AI model training and fine-tuning, model serving and monitoring, and hardware acceleration

Strong Collaboration Capabilities

Data scientists, engineers, and app developers can collaborate in a single destination that promotes consistency, security, and scalability

Sovereignty & Security

A platform for satisfying the highest levels of sovereignty

Maintained Open Source

100% OpenSource platform
No vendor lock-in
Maintenance of consistency and interoperability including platform roadmap

Scalability & Speed

OneClick approach to deploy in less than 30 minutes
CICD-based environment with a highly available GitOps architecture
Horizontal scalability by design

On-Premise and Cloud Deployment

Collaborative environment
Robust platform support
Accelerated model development

Whats in for Data Engineers, Data Scientists and Business Analysts?

For Data Engineers, CODEX offers a lakehouse platform architecture that is perfectly suited to the technical demands of ingesting, transforming, and making big data available. The platform’s robustness and scalability empower engineers to manage data workflows efficiently, ensuring data integrity and availability for downstream processes.

On the other hand, for Data Scientists, CODEX provides a comprehensive MLOps platform that supports the entire lifecycle of exploratory and algorithmic work on big data. This environment is meticulously tailored to meet the needs of data science, offering an end-to-end automated workflow that significantly reduces manual tasks and accelerates the time to market for ML development and model deployment. With tools and features designed for advanced data modeling, analysis, and the development of predictive algorithms, CODEX ensures that Data Scientists can efficiently transition from experimentation to production, fostering innovation and driving business value through powerful machine learning capabilities.

For Business Analysts, the platform offers intuitive tools for data visualization and analysis, enabling them to derive insights and make data-driven decisions swiftly. The ease of use and accessibility of these tools democratize data across the organization, allowing analysts to focus on uncovering trends and opportunities that can influence strategic business outcomes.

With CODEX, every data professional can find the features and capabilities they need to excel in their role, all within a single unified platform. The platform’s emphasis on collaboration, efficiency, and rapid deployment translates into tangible benefits for the entire organization, ensuring that each team member can contribute to and derive value from the platform’s advanced data capabilities.

Capabilities

Open-source and free licencing tools

CODEX provides a selection of open-source and free licencing tools, that provides a wide range of features.

Cloud-native

The platform is cloud-native, so it can effortlessly scale to handle increased data loads or complex processing requirements.

Portability

CODEX offers the flexibility to deploy your data solutions in any cloud environment, whether it's private or public clouds.

GitOps approach

Our GitOps approach enhances enables simplified implementation and management through one-click deployments.

Security and Compliance

CODEX is equipped with robust security features to protect your data from unauthorized access and ensure compliance with regulatory standards.