Your own server
Customers share a physical host. Each customer has a separate MLflow container, database, network, and credential set.
Managed MLflow on its own.
Trackshund runs a private MLflow tracking server for your team. You keep the MLflow client, UI, and workflow you already know. We handle the server, storage, sign-in, HTTPS, backups, and updates.
A shared MLflow server takes ongoing work.
You can start a local MLflow server with one command. A shared server also needs a stable address, HTTPS, authentication, artifact storage, backups, updates, and someone to respond when it stops working.
Trackshund is for teams that have already chosen MLflow and only need the tracking server managed. Point your existing client code at the new tracking URI. Experiments, runs, metrics, parameters, tags, and registered models remain standard MLflow data.
Separate customer environments
Your existing workflow
Set MLFLOW_TRACKING_URI and keep using the MLflow SDK and UI. Your experiments stay in MLflow’s standard format.
Your whole team
Invite colleagues without changing the bill. Each person signs in with their own identity, and scripts use tokens issued by the MLflow server.
Keep MLflow without running the server.
One private server, 100 GB of artifact storage and the whole team for $40 a month.