One platform for your
entire AI lifecycle.
Track experiments, version models,
deploy with one click, monitor in production.
The Problem:
Fragmented tools, growing workloads, more duct tape
ML and LLM workloads keep growing. The tooling around them hasn't caught up.
Connected by glue code, if at all
The Solution:
One platform instead of four
Track every run, ML and LLM
- Side-by-side run comparison
- LLM evaluation and trace capture
- Full experiment-to-model lineage
Organize and find artifacts
- Artifacts with embedded metadata
- Organized in collections by project
- Version and lifecycle management
Deploy anywhere with one click
- One-click deployment from registry
- Deploy to any infrastructure
- LUML orchestrates, you host
Monitor models and LLMs in production
- Data and model drift detection
- LLM tracing and live evaluation
- Alerts on regressions and latency
Security & Trust
Security and control,
by design
Your data stays in your cloud
LUML never stores your artifacts or data. Everything lives in the storage you connect. No surprise transfers.
Granular role-based access control
Control who can view, edit, or deploy across projects and orbits. Permissions at the user, team, and workspace level.
Artifact lineage and provenance
Trace any model back to the experiment, code, and data that produced it. Know exactly what’s running in production and where it came from.
Workspace isolation with orbits
Separate teams, projects, or environments into distinct orbits, each with its own artifacts, members, and permissions.
How It Works
Up and running in minutes
Your data never leaves your cloud. LUML connects to your storage.
We don't copy or host it.
Create a free account
Sign up and get access to the full platform. No credit card, no trial limits.
app.luml.ai/sign-upConnect your storage
Attach any S3-compatible bucket or Azure Blob Storage. Your data stays in your cloud. LUML never stores it.
Organization settings → Buckets → New BucketCreate your first model
Use the no-code UI to register a model manually, or track your first run with the Python SDK.
pip install luml-sdkPricing
Pricing that scales with your team
For individuals and small teams getting started.
For teams scaling their ML and LLM workflows.
For organizations that need full flexibility and dedicated support.
FAQ
Frequently
asked
questions
Experiment tracking for both ML and LLM workloads, an artifact registry, one-click deployments to your own infrastructure, and production monitoring (coming soon). One platform instead of stitching together separate tools.