MLflow
The open-source MLOps platform that tracks, versions and ships your models.
MLflow logs every experiment (parameters, metrics, artifacts), centralizes models in a versioned registry with aliases and tags, then packages them for serving, with evaluation and tracing for LLM applications. Open source, framework-agnostic, managed on Databricks and available on the major clouds, it's our choice to get ML out of the notebook and make it reproducible and auditable.
What MLflow brings to your project.
Typical use cases: Experiment tracking, model registry, ML and LLM production rollout.
- 01
Tracking: parameters, metrics and artifacts of every run, side by side.
- 02
Model Registry: versions, aliases and tags, controlled promotion to prod.
- 03
Standard packaging served as a REST API, Docker image or cloud endpoint.
- 04
Evaluation and LLM tracing: prompts, agents and RAG made observable.
Entrust your project
to our experts.
Entrust your project to our
experts.
Entrust your project
to our experts.
Our experts build your project, delivering superior technical and functional quality within shorter timeframes.
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They trust
us.
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A project with MLflow?
Describe your project. Our team replies within 24 hours with free technical scoping, along with a clear estimate of costs and timelines. No commitment.
- Reply within 24 hours from a project manager
or engineer.Reply within 24 hours from a project manager or engineer. - Technical scoping and quote, with no fees.
- No commitment, your data stays
confidential.No commitment, your data stays confidential.
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hello@kosmos-digital.com
Paris · Lyon · Marseille · Nice · Geneva
Your company may qualify for a tax credit equal to 20% of the costs linked to developing its solution.
Free scoping & estimate in less than 24h
Describe your project and we'll get back to you with a costed estimate and a roadmap.