Data sciencE that delivers

Turn your AI/ML projects into real use cases

Automate, optimize, and scale your Machine Learning processes with DKube. Build and deploy AI models into production faster, monitor and train them in real-time, with DKube.

Discover DKube
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HOW DKUBE CAN HELP YOU

Bring AI to where your data is

Data security is paramount today, and we understand this priority. DKube is a unique MLOps solution that can operate on-premise and on any cloud or multi-cloud. Bring your open-source AI tool sets to where your data is.

Monitor and manage the entire development lifecycle

Over 90% of ML models today do not become usable in the real world. Take your ML models into production and continuously track their performance over time with DKube.

Work with the tool sets you already use

DKube built on open source foundations of Kubeflow and MLflow. It supports every open-source toolset your teams currently use and will continue to stay open-source forever.

Control processes better with an open-source-based MLOps platform

Bring the efficiency of DevOps to your AI/ML projects at a fraction of the cost of investing in proprietary tools. Gain full control over your project lifecycle with a purpose-built platform.

Customize the DKube solution for evolving needs

Most open-source MLOps solutions, if assembled and supported in-house, can get expensive to host and maintain over time. This is precisely why we’ve built the DKube Lite and DKube Enterprise.

Get all your teams on the
same page

Data Engineers, Data Scientists, IT Teams, and Business Executives love DKube! We’ve built features that support every relevant role and function within your organization.

BENEFITS

DKube is built to be used by everyone on the team

DKube is how data engineers, data scientists, production teams, and business leaders communicate. Packed with a ton of features, DKube allows you to set the right business goals, monitor progress, and build and deploy AI models.

Find out more
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Data Engineers

With automated model deployment, streamlined data, and ML pipelines, let DKube streamline your data engineering workflow.

Production Teams

When the rubber hits the road, we’re ready for you! DKube supports seamless collaboration between teams and helps you successfully take ML models into production, monitor their journey, and report.

Data Scientists

Set the direction for how your work is taken into production, and collaborate with every team that contributes to your workflow. DKube works with every toolset that you currently use.

IT Managers

We help you get the fundamentals absolutely perfect. Optimize the cost of hardware by laying a strong foundation for the tools and technology that will eventually be used by your AI teams.

Business Leaders

Enhance the productivity of AI/ML teams and projects, monitor progress through business dashboards, and build a compelling use case for using AI for your business.

Testimonials

Here's what customers
have to say about us

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David Harris
Founder & CEO, Socially
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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
Pete Jones
Head of Marketing, Build
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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
Matt Harris
Product Manager, ConversionFlow
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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
David Harris
Founder & CEO, Socially
Lorem Ipsum
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
Pete Jones
Head of Marketing, Build
Lorem Ipsum
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
Matt Harris
Product Manager, ConversionFlow
FAQ

Build, train, and deploy AI models faster

Is DKube restricted to on-prem use cases?
At what stage of MLOps maturity would I need a platform like DKube?
How long does it take to set up my first project on DKube?
We already use several ML tools and frameworks. Can they be used with DKube?
Why do I need an MLOps platform like DKube?

Get Started with DKube

There's no such thing as an average AI project, and they could all benefit from speed and efficiency. Find out how.

Talk to us