AI Solutions
Machine Learning Operations
Build, deploy, and manage ML models in production with enterprise-grade infrastructure and governance.
Moving machine learning from experimentation to production requires infrastructure that ensures reliability, reproducibility, and governance. Lunar IT Solutions provides the full MLOps framework — from data pipelines and model training to deployment, monitoring, and continuous improvement.
ML Infrastructure
Scalable compute environments for model training and inference — on-premise, cloud, or hybrid. GPU-optimized clusters with automated resource scheduling and cost controls.
Data Pipelines
Automated ETL pipelines for feature engineering, data validation, and training dataset generation. Consistent, versioned data flows that ensure reproducibility across experiments.
Model Deployment
Containerized model serving with A/B testing, canary deployments, and automatic rollback. REST and gRPC endpoints with auto-scaling based on inference demand.
Model Monitoring
Drift detection, performance tracking, and automated retraining triggers. Full observability into model behavior in production — accuracy, latency, and data distribution.
Governance & Compliance
Model versioning, audit trails, access controls, and approval workflows. Ensure every model in production meets regulatory and organizational standards.
ML Platform Engineering
End-to-end platform design — from experiment tracking and feature stores to model registries and serving infrastructure. Built on open standards, vendor-neutral.
Scale Your ML