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R&D
Innovation
The R&D department explores and industrialises AI. Origin 137 provides a controlled environment for experiments, orchestrates runs and traces validations before production.
Problem
AI experiments and POCs often run in silos with little governance or reproducibility, limiting production rollout.
Impact
Governed, reproducible experimentation ready for scale.
Solution
- Provide a validated, versioned environment (presets, models, data) for experiments.
- Orchestrate runs (parameters, metrics) and compare them in a traceable way.
- Validate models or scenarios before production (CTO, business).
- Document choices and results for reproducibility.
Control points
- •Controlled test environment and data
- •Validation before production
- •Experiment traceability
Indicators
- •Number of experiments
- •Production rollout rate
- •Validation time
Concrete examples
- •AI model POC with versioning and metric comparison
- •CTO validation before deployment
- •Run reproducibility and documentation
Typical tools
MLflowWeights & BiasesJupyterGitHub
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