Make data, feature and context engineering shareable.
Open-source Python framework created by data practitioners, with easy adoption at its core.
Eliminate Repetition
Avoid repeatedly creating similar pipelines across multiple projects
Reduce Innovation Drag
Enable faster innovation by simplifying how teams reuse feature logic
Improve Data Confidence
Gain trust in data transformations throughout AI/ML lifecycles
Ready to solve these challenges?
Get in Touch with UsThe missing abstraction layer for ML and AI pipelines, built for you.
Separate what you compute from how you compute it. Composability follows, making your features portable, testable, and shareable.
Getting Started in 2 Minutes
Transform raw data into ML-ready features automatically
Raw Data
ML-Ready Features
See mloda applied in four 5-minute scenarios grounded in real-world experience
Monday: Prototype → Friday: Production
Meet Sarah, a data scientist on a mission to predict churn. Watch the same feature code scale from her laptop to production, serving millions.
Designed by and for AI: Watch Assistants Build Features in Minutes
Unlike first-generation tools retrofitted for AI, mloda was architected from day one for AI integration. Through MCP servers and template-based FeatureGroups, AI assistants can create, discover, and execute features as naturally as calling a function.
The Community is Everyone's Competitive Advantage
Join Alex, a startup founder racing to beat enterprise competitors. Discover how the community's shared plugins let his 3-person team deliver features that rival 50-engineer teams, while keeping their secret sauce private.
Emma's Zero-Infrastructure Privacy: GDPR Without Extra Processes
Follow Emma, a privacy engineer at a European fintech, as she implements GDPR compliance without adding a single new process or service. Watch how mloda, running as a simple Python module in her existing infrastructure, transforms privacy compliance from architectural complexity into import statements.
Want to learn more? Visit our features page for comprehensive details.
Contact
Tom Kaltofen
Creator of mloda
“I have held diverse data roles in large organizations, where I led the creation of feature stores, databases, and BI tools: gaining firsthand experience with the complexities of ML and AI data lifecycles.”
Let's discuss how mloda can help you and your project. I personally respond to every inquiry.
Coffee & Code in Berlin
Local to Berlin? Let's grab coffee and discuss your data challenges in person.
Quick Video Call
Prefer remote? Let's hop on a call to discuss your needs, demo included if wished.
Send a Message
Have a question or want to start a conversation? Drop me a line.