Data platform under five minutes.
Spin up a data platform from scratch to build and run analytic apps anywhere. Secure, governed and compliant.
We do for data platform, what Shopify did for e-commerce.
The result, empowered data teams and trusted data-driven organisations.
Batteries Included
Frictionless start, no kubernetes or professional services required for installation.
Short feedback loop
Build on laptops and deploy on clusters. Rinse and repeat.
No vendor lock-in
Run in any cloud, fog or edge. Burst from on-prem to the cloud.
Best-of-breed
Opinionated open source data & AI tools, working out of the box. Extend it with your preferred tools.
Air-gapped
Secure-by-default and self-hosted services, including LLMs. (coming soon)
Compliant
IRAP assessed (coming Mid 2025)
Standing on the shoulders of giants
Mission
Make data infrastructure simple, secure and accessible to everyone, anywhere.
Chinkit Patel
Founder, kubox.ai
Blazing fast Kubernetes and a composable data and AI stack
An on-demand, repeatable and portable data platform as a service for everyone, from individual engineers to enterprises. It is unbelievably powerful and future-proofed.
Distributed Compute
Use Dask, Spark and federated query engines like Trino for distributed data processing.
Data Pipelines
Data pipelines written in Python with Dagster, tracked in version control and packaged as containers.
Model Serving
ML models deployed and served with Ray Serve - a framework agnostic python library that supports model composition, multiplexing, and fractional GPUs.
Vector Database
Use Qdrant as a self-hosted open-source vector database for next-generation AI-native semantic search and meaningful information extraction from unstructured data.
LLMs & RAG
Build self-hosted Retrieval Augmented Generation (RAG) pipelines to access your organisation's past and current knowledge in form of multi-modal data.
Anything else
If it runs on Kubernetes, it most likely will run in kubox.
Our promise
We want to create delightful developer experiences. If for some reason after using kubox AI for 3 months, you are not 100% satisfied we will give you a full refund. T&C apply.
Developers increase productivity in 2 weeks
Reduction in cloud and software licensing costs
Savings annually for organisation with more than 200 developers
Pricing plans
Early bird access and discounts are available. Pricing in AUD.
Stay in touch
or have a question?
FAQs
If you don't find what you're looking for we're keen to connect, clarify and learn.
Data and AI tools are deployed using kustomize and FluxCD. Best-of-breed opinionated tools are already integrated, deployed and tested to work out-of-the. However, those opinions are loosely held and developers are free to deploy other tools as they deem fit.
Currently with the Basic version you can use AWS instances with NVIDIA L4, G4dn and P3 GPUs.
Engineering is about trade-offs. kubox AI is optimised for stateless or short-lived data analytics use cases such as exploratory data analysis, data pipeline execution, and ML model training and serving. However, it's not ideal for long-lived distributed databases that require high resilience, availability, or geo-distribution. The platform is designed for data teams with basic software engineering knowledge, rather than for no-code/low-code users.
While capable of handling diverse stateful workloads and databases, are designed for complete replacement, not ongoing maintenance. This means no patching or updates. So outputs from data pipelines should be persisted in external storage like S3.