Valohai

The product is an MLOps platform for managing LLM workflows, specialized models, context pipelines, and evaluation including regression testing and cost analysis. It addresses managing multiple models, dataset versioning, experiment tracking, pipeline automation, and reproducibility as data drifts and costs change. It is for data science, ML engineering, software development and operations teams in businesses building AI products. It is delivered as SaaS with options for managed cloud, on-premises, hybrid and air-gapped deployment with multi-cloud orchestration.

Key features

• LLM workflows
• Model comparison
• Context pipelines
• Regression testing
• Cost analysis
• Dataset management
• Compute and scaling
• Experiment iteration
• Pipelines and automation
• Debugging and visibility
• API and extensibility
• Multi-cloud orchestration
• On-prem and hybrid deployment
• GPU efficiency
• Dataset caching
• Lineage and reproducibility
• Automatic versioning
• Full lineage
• One-click reproduction
• Audit and compliance
• Experiment tracking
• Hyperparameter optimization
• Data versioning
• CI/CD pipelines for ML
• Model versioning
• Human-in-the-loop approvals
• Parallel execution
• Conditional logic and quality gates