Enterprise MLOps and LLMOps Platform Setup
Enterprise Technology — Teams were pushing dozens of ML models and new LLM applications to production manually, without monitoring, versioning or…
Client: Enterprise Tech Company. Sector: Enterprise Technology.
The challenge: Teams were pushing dozens of ML models and new LLM applications to production manually, without monitoring, versioning or pre-release evaluation.
What we built: Built a common platform covering a model registry, model CI/CD, drift monitoring, LLM tracing, evaluation suites and token-cost dashboards, plus reusable templates for every new model.
Tech used: MLflow, Kubeflow, Evidently, Langfuse, LiteLLM, GitHub Actions.
- Time to Deploy: Weeks → hours
- Models Under Management: 60+
- Production Incidents: -50%
- Visibility into LLM Spend: 100%