$ python -m pytest$ ruff check src scripts tests dashboard
MLOps and responsible AI
Models that keep working long after launch. We deploy them properly, watch their accuracy as the world changes, retrain them on schedule, and put rules in place for bias, privacy and human review.
What’s included
Deployment
Models served as APIs or scheduled jobs, versioned and easy to roll back.
Monitoring
Accuracy and data drift tracked, with alerts when either moves.
Retraining pipelines
New data in, a new model trained and checked before it replaces the old one.
Model registry
Every model version, its data and its results on record.
Responsible AI policies
Rules for bias checks, privacy, and when a person must review.
When it makes sense
- A model works in a notebook but not in production.
- Accuracy has dropped and nobody noticed when.
- Customers or regulators ask how your AI makes decisions.
What you get
- A deployment pipeline
- Dashboards and alerts for model health
- A retraining process
- Written AI policies your team can follow
Tools we work with
We pick what fits your project and your team, and we’ll say why.
- MLflow
- Docker
- Kubernetes
- GitHub Actions
- Cloud ML services
Related work
Built by our engineers before Orandic. None of these clients hired Orandic.
Questions about MLOps and responsible AI
What is model drift?
The data a model sees in production slowly changes from the data it was trained on, so its predictions get worse. Monitoring catches that early.
Do we need this for one model?
A light version, yes: versioning, monitoring and an alert. The full setup pays off when you run several models.
Related services
Machine learningModels that predict, classify and flag what people would miss.DevOps and CI/CDReleases that are routine, not risky.Data governanceClear owners and clear rules, so people can trust the data.All of AI and machine learningFrom forecasting models to assistants that work on your own documents.
Tell us what you need built.
A free 30-minute call with an engineer. You get the scope, timeline and price in writing before you commit, and a reply within one working day.