prokube: the AI platform that brings Deep Learning and Gen-AI projects to production quickly and at scale – deployable anywhere, no vendor lock-in.
MLOps
prokube
prokube
Most ML projects fail to reach production. With the increasing importance of Gen-AI, this process becomes even more complex. prokube will enable your business to reduce time-to-production from 9-12 months to just a few weeks.
prokube
We offer
reliable
fast
prokube solves the critical challenges that cause ML projects to fail. Our fully integrated AI platform reduces complexity, eliminates technical debt, and significantly shortens the path to production.
With prokube, you can:
- Deploy your ML and Gen-AI projects in weeks instead of months
- Rely on proven open source technologies instead of proprietary solutions
- Avoid hidden vendor lock-ins common with cloud providers
- Maintain full flexibility in infrastructure choice (on-premise or cloud)
- Benefit from years of experience and proven best practices
- Keep the platform and maintain it yourself, if our paths ever diverge
Discover how prokube can transform
your ML workflow!
&
Services
Deployment
&
Our automated deployment adapts prokube to your enterprise environment. Whether cloud, on-premises, or hybrid – we ensure a seamless integration that meets your security and compliance needs.
Customization
&
Maintenance
&
Let us handle the complexity of your AI infrastructure. We maintain and optimize the complete MLOps/LLMOps toolkit, enabling your teams to focus entirely on what they do best: developing AI solutions that drive business value.
Support
&
MLOps
&
We built prokube because we experienced firsthand how painful it is to bring AI into production. Together with our partners we are happy to leverage our experience to assist you in implementing your AI use cases.
AI Consulting
&
How it works
WORKS
WORKS
WORKS
WORKS
Unlock the Full Potential of
Your ML Projects with prokube!
Our Product
prokube
prokube
A complete, integrated MLOps platform with dedicated features for Gen-AI and LLMs.
prokube
AI Workbench
Core MLOps Platform
- Data Science Workbench with the IDEs your Datascientists love
- Automated ML pipelines for efficient and scalable data processing and model training
- Distributed and scalable computing for both model training and data processing
- Efficient resource sharing across teams and projects
- Model training and experiment tracking
- Model deployment and monitoring
Gen-AI & LLM Capabilities
- Efficient and scalable fine-tuning
- Model evaluation for quality improvement
- Seamless integration with multiple LLM providers through a single API
- High-performance serving for fast response times
- End-to-end tracing and monitoring of all LLM interactions
- Databases for retrieval augmented generation
- Agentic AI tooling for complex workflow automation
Data Storage & Streaming
Scalable Storage
Data storage solutions that scale with your needs
Flexible Data Management
S3-compatible object storage for ML artifacts and datasets
Real-time Processing
Real-time data streaming capabilities for continuous inference
Versatile Database Solutions
Robust database solutions for both structured and unstructured data
Enterprise Security & Identity Management
Seamless Authentication
Secure enterprise login integration with your existing systems
User-Friendly Access
Single-Sign-On (SSO) capabilities for seamless user experience
Data Protection
Comprehensive access control for sensitive data and models
Enterprise Integration
Full LDAP and Active Directory integration
Infrastructure Management
Deployment Consistency
Reproducible infrastructure setups for consistent deployments
Environment Flexibility
Adaptable to cloud, on-premise or hybrid environments
Future-Proof Growth
Scalable architecture that grows with your AI initiatives
DevOps Integration
Code Management
Seamless integration with your existing code repositories
Deployment Automation
Support for your preferred CI/CD pipelines and workflows
Asset Organization
Artifact registry integration for model management
Performance Monitoring
Operational Insights
Comprehensive visibility into platform and model performance
Visual Analytics
Interactive dashboards for monitoring critical metrics
Troubleshooting Tools
Centralized logging for troubleshooting and auditing
Cost Management
Resource utilization tracking for cost optimization
About us
prokube
prokube
Born from a research venture with the Helmut Schmidt University, prokube stands today as an innovative spin-off of JUST ADD AI. Our platform solves the real-world ML deployment challenges we’ve experienced ourselves. We don’t just sell our platform—we use it daily at JUST ADD AI, ensuring each component is rigorously validated in practical applications.
Dr. Christian Geier
CEO & Co-Founder
With a PhD in Physics, his background includes maintaining distributed computing clusters and contributing to open-source projects, ensuring prokube is engineered for performance and scalability.
Henrik Steude
Data Scientist & Co-Founder
Henrik, our ML expert, is completing his PhD in ML for cyber-physical systems. His data science career includes AI development for the International Space Station, where he gained extensive experience with Kubeflow.
Martin Creutzenberg
MLOPs Engineer & Co-Founder
Martin Creutzenberg is our Kubernetes and software engineering expert. His deep dive into MLOps tools and architectures ensures that prokube is not just cutting-edge but also user-friendly, allowing seamless integration into any production environment.
prokube
