Service Orchestration and Automation Platforms (SOAPs)
2023 Market Guide
Read the press releaseData Science & Machine Learning Engineering Platforms
May 2022 Market Guide
Read the press release Workflows and pipelines are critical for your digital transformation
Activeeon provides comprehensive resilient workflows and pipelines at scale
Modernize Workload Automation
Job scheduling & automationSucceed with AI Models in Production
AI Orchestration & MLOpsProviding job scheduling and workload automation solutions to companies worldwide
With a single point of control, manage and control all processes and get rid of silos with a unified, cross-platform automation solution.
With more and more complex architecture, manage the workloads on all available resources and setup elastic policies.
A robust platform to build upon and support any business needs and load with a powerful and open automation system.
Stay in control and empower users with built-in features for error management, notifications, docker support, ease operations, etc.
Focus on the business needs and express it with a flexible workflow definition. Build faster with built-in error management, file handling, connectors, etc.
“Now, thanks to ProActive and additional optimizations we made along the way with Azure, the batch time which previously was taking us 18 hours, is now down to 5 hours, and by the end of the year, my hope and expectation is to go definitely below 4 hours and possibly less by having more grid hosts and more capacity.”
Automate and schedule jobs, tasks and workloads reliably on any infrastructure and at scale
Provide a flexible solution for business users to distribute and parallelize heavy workloads on large infrastructure and leverage hybrid and multi-cloud opportunities
Ease the management and governance of large production environments with thousands of scripts, ETL jobs and integrate within any environment with an open and API first platform
Make deployments and scaling of machine learning (ML) workflows on any infrastructure simple, portable and scalable
Provide a straightforward way to deploy open-source systems for ML to diverse infrastructures (local, hybrid, multi-cloud)
Provide a pipeline solution to enable automation within the Machine Learning dev lifecycle
The replacement of Jams Scheduler (Help Systems) enables to considerably optimize the management of the infrastructure, reduce the number of orchestrated IT workflows, as well as improve the efficiency and modularity of the IT management.
Our microbiota is a key actor between food and our body and a major actor in well-being, health and desease
Distributed R environment for quantitative metagenomics platform and statistical analysis.
“Activeeon won a CREOS call for tenders at the end of 2019 for a scheduling solution for IT technical workflows. There were initially 8 international competitors. We particularly appreciated the user-friendliness and modernity of the user interfaces, the expressiveness of the workflows and multi-environment support. We appreciated the professionalism, competence and responsiveness of Activeeon, and their ability to understand our problems and provide us with very effective solutions.”
Operating Engineer at Creos
“Activeeon is the only solution capable to Schedule any Big Data Analytics, mono-threaded, multi-threaded, multi-core, parallel and distributed.”
CapGemini Lead Engineer for Home Office
“The ProActive product perfectly integrates into a hybrid multi-platform architecture. The usage of ProActive allowed us to have a trivialized approach to our processing infranstructure which includes Linux and Windows computers and GPU. This product helped us reduce operational costs by 10.”
Nicolas Pons
Head of InfoBioStat platform at MetaGenoPolis (INRA)
Activeeon ProActive and SimR Announce a Strategic Partnership to Optimize HPC Simulations, SimOps, and AI Workflows Across Hybrid Environments
Introducing ProActive V14 Release Packed with Powerful Enhancements for Governance, Efficiency, and Security
Activeeon Contributions Selected by European Space Agency for Marine Environment Monitoring Through onboard Satellite AI (IRMA Project from IRT Saint Exupery)
