ActiveEon at the WAICF

ActiveEon named in the 2022 Gartner Market Guide for Data Science and Machine Learning Engineering Platforms

May 16th, 2022 - Press Release

ActiveEon, the leading AI Orchestration company improving customers’ AI success rate, has been named in the 2022 Gartner Market guide for Data Science and Machine Learning (DSML) Engineering Platforms.

“We are honored to be listed in the Gartner Market Guide for DSML Engineering Platforms” said Philippe Lignac, Chief Revenue Officer for ActiveEon. “Of this list, we believe ActiveEon offers the most established solution to help organizations improve their AI success by industrializing and automating their existing manual processes.”

The AI orchestration solution unifies the AI processes and industrializes the pipeline.

According to Gartner, “Data science teams in many organizations have not sufficiently adopted and strengthened software engineering and DevOps practices for AI and ML model development and operationalization, leaving significant gaps in model life cycle execution and management.”

Gartner recommends selecting a DSML engineering platform “paying specific attention to capabilities around model deployment, management, governance and security” and including flexibility, openness and composability” criteria by assessing “API completeness, modularity of platform architecture and metadata access.”

ActiveEon’s AI orchestration solution provides an open architecture and high flexibility avoiding vendor lock-in. It offers automation and abstraction of customers’ IT systems so that they focus on business processes and do not waste time and effort managing the infrastructure and the complex AI background tasks. Orchestration with ProActive products aims at putting together all elements used by many teams – such as AI specialized software tools, computer power, cloud services, containers, databases.

With ProActive AI Orchestration, Activeeon offers companies an end-to-end data science and machine learning engineering platform with the following main AI orchestration capabilities and features:

  • Open code with drag-and-drop workflow templates to streamline the process from data ingestion to analytics, with pre built data connectors, notebooks (i.e. JupyterLab) and data visualization tools (i.e. Tensorboard, Gromacs)
  • Integration of various model development tools - open source and proprietary - for model engineering (model builder, feature engineering), distributed model training (Tensorflow, PyTorch, Keras, Horovod), hyperparameter tuning, autoML, and model evaluation (testing and validation)
  • High performance and scalability with workload-based dynamic infrastructure resource allocation with autoscaling across on-premises, hybrid, multicloud and edge environments
  • Accelerated computing, distributed model training and task parallelization
  • Operationalization with integrated MLOps and DevOps processes abstracting all components of model developments into pipelines.

To learn more about Activeeon AI orchestration solution, visit

Contact us for a solution demo or more information.

Gartner “Market Guide for DSML Engineering Platforms”, Brethenoux Erick, Jaffri Afraz et al., 2 May 2022.

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Published on May 16, 2022