Valohai
FundedScalable, cloud-agnostic MLOps platform for automated machine learning workflows
About Valohai
Valohai offers a comprehensive MLOps platform designed to streamline and automate complex machine learning workflows across hybrid, multi-cloud, and on-premises environments. It provides automatic versioning and complete lineage tracking of ML experiments, enabling enterprises to maintain reproducibility and governance throughout the model lifecycle. The platform supports any language or framework, allowing data science teams to integrate their existing tools and libraries seamlessly.
Targeted at large enterprises with advanced AI/ML initiatives, Valohai facilitates collaboration between data scientists, IT, and business units by centralizing model, dataset, and metric management. Its orchestration capabilities allow execution of ML workloads with a single click or API call across diverse infrastructures, simplifying deployment and scaling. By abstracting infrastructure complexities, Valohai helps enterprises accelerate model development, improve operational efficiency, and reduce costs associated with managing ML pipelines.
Key Capabilities
- ✓Hybrid and multi-cloud ML workload orchestration
- ✓Automatic versioning and experiment lineage tracking
- ✓Framework and language agnostic development
- ✓Centralized knowledge repository for models and datasets
- ✓Seamless integration with CI/CD pipelines via API and webhooks
Integrations
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