ML platform
Notebooks, labelling and experiment tracking.
Hosted notebooks, labelling and experiment tracking give a team one persistent, shared environment instead of six local ones. JupyterHub, Label Studio, Argilla and MLflow are available as single-tenant instances with persistent storage.
The practical argument for hosting this layer is that laptops sleep. A six-hour job, a labelling project running across a team, an experiment history that has to outlive somebody’s machine — all of it wants a server, and none of it wants a per-seat SaaS contract.
There is a data argument as well. Training sets and annotation queues are often the most sensitive material in an ML project, more so than the model itself. Keeping them inside your own boundary is the simplest version of that problem solved.
ML platform we host
Jupyter
A persistent notebook server that does not sleep when your laptop does.
from $5.99/moDetails →JupyterHub
Notebook servers for a whole team or classroom.
from $18.99/moDetails →Label Studio
Data labelling for text, image, audio and video in one tool.
from $11.99/moDetails →Argilla
Human feedback and dataset curation for LLM work.
from $11.99/moDetails →MLflow
Experiment tracking and a model registry that outlive the notebook.
from $5.99/moDetails →Three steps, no Docker knowledge required
Pick the app and the size
Choose memory and storage from the plan table. Every plan is a single-tenant instance with its own volume, its own configuration and its own admin account.
We deploy and harden it
TLS on your domain or ours, firewall, a version pinned to a reviewed release, nightly off-box backups and isolated secrets.
You log in and build
The admin account is yours. Add your API keys, invite your team, export your data whenever you want. Patching stays with us.
Straight answers
Can I install my own packages?
Do these need a GPU?
Is this a shared account or my own instance?
Do I have to know Docker?
What is included in the monthly price?
Can I move to a bigger plan later?
Put your AI stack on your own box
Pick an app, pick a size, and have it running today. Month to month, cancel whenever.