# MLRun

MLRun is an open-source AI orchestration framework for managing ML and generative AI applications across their lifecycle. It automates data preparation, model tuning, customization, validation and optimization of ML models, LLMs and live AI applications over elastic resources. It enables real-time serving and application pipelines with built-in observability, deployable across multi-cloud, hybrid and on-prem environments.

Page: https://slateindex.ai/brand/mlrun · data of 2026-11-02

## Facts

- Headquarters: Herzliya, Israel
- Company type: Division of McKinsey & Company
- Deployment: Kubernetes, AWS cluster, or local Docker for demo and test; multi-cloud, hybrid or on-prem

## Products

- MLRun: Open-source AI orchestration framework for managing ML and generative AI applications across their lifecycle, with feature and artifact stores, elastic serverless runtimes, ML pipeline automation and real-time serving.

## Rankings

| Category | Rank | Visibility | Mentions |
|---|---|---|---|
| MLOps Platforms | 31 of 61 | 1.9 | 2 |

## By engine

| Engine | Visibility | Mention rate |
|---|---|---|
| chatgpt | 2.6 | 3.7% |
| google_ai_mode | 0.0 | 0.0% |
| perplexity | 3.1 | 3.7% |

## Definitions

- Visibility (0–100): how often and how high AI answers name the brand, weighted by position.
- Mention rate: share of collected AI answers that name the brand.
- Share of voice: the brand's mentions as a share of all brand mentions in the category.
- Citation authority: share of answers naming the brand that cite the brand's own site.

Cite as: SlateIndex, “MLRun AI visibility profile”, https://slateindex.ai/brand/mlrun, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).