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Valohai
Valohai provides MLOps tools for comparing, evaluating, and shipping configurations for AI products using specialized models.
About Valohai
Valohai is an MLOps platform for AI products that combine LLMs and specialized models trained on user data. It is used to compare, evaluate, and ship configurations against real data on the user's own cloud, with lineage from data to deployment.
It provides pipelines that cover experimentation and production, with conditional logic, parallel execution, and human approval steps. It also provides versioned, immutable datasets with caching, and supports standard Python projects that use local files, argparse parameters, and JSON metrics.
Key features
- Compare and evaluate LLM and specialized-model configurations against real data
- Run on own cloud with lineage from data to deployment
- Apply conditional logic and quality gates to branch or block steps
- Spawn parallel executions to sweep architectures and model-prompt combinations
- Pause pipelines for human approval and restart from last successful step
- Version immutable datasets with file-level changes and promotion aliases
Best for: Teams building and maintaining AI products that combine LLMs with models trained on their own data.
Good for
- Runs on the user's own cloud with lineage from data to deployment
- Uses standard Python conventions with portable code and no platform-specific code
- Caches pipeline steps and dataset files to avoid repeated downloads and reruns
Valohai at a glance
- Website
- valohai.com
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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