CRAZY UNICORNSAI Architecture & MLOps
Scalable AI infrastructure, evaluation, and lifecycle operations — so models stay reliable, secure, and cost-predictable in production.
MLOps · Monitoring · Cost control · Security boundaries · Scalability
Enterprise AI architecture and operations
We help organizations move from experimental AI to production-grade systems with robust architecture, automated pipelines, and operational excellence. Our focus is on building AI platforms that scale reliably and cost-effectively.
From model training infrastructure to deployment pipelines and monitoring systems, we design the technical foundation for sustainable AI operations.
Architecture and MLOps services
AI platform design
Design and implement centralized AI platforms for model development, training, and deployment.
MLOps implementation
Automated pipelines for model training, validation, deployment, and monitoring.
Infrastructure optimization
GPU/TPU optimization, cost management, and resource allocation for AI workloads.
Model lifecycle management
Version control, experiment tracking, and model registry for organized AI development.
Production monitoring
Real-time monitoring of model performance, drift detection, and alerting systems.
Our architecture process
Assessment
Evaluate current AI capabilities, infrastructure, and operational maturity.
Architecture design
Design target architecture, technology stack, and migration path.
Platform implementation
Build core platform components, pipelines, and automation.
MLOps enablement
Implement CI/CD for ML, monitoring, and operational processes.
Optimization
Continuous improvement of performance, cost, and reliability.
Technology and approach
We work with modern AI infrastructure: Kubernetes, cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML), and open-source tools (MLflow, Kubeflow, Airflow).
Our architecture patterns emphasize modularity, observability, and cost control — designed for teams to operate and evolve independently.
Why choose our architecture services
We build AI infrastructure that teams can actually operate.
Ready to scale your AI operations?
Whether you're building your first AI platform or optimizing existing infrastructure, we can help you design for scale and reliability.