AI Platform Foundations & LLMOps
The cloud platform, pipelines and controls that let you run AI in production with the same discipline as the rest of your software.
DevOps Discipline for AI.
Many AI projects stall between prototype and production. The gap is rarely the model; it is the platform around it. We apply our infrastructure and DevOps experience to AI: landing zones, model gateways, evaluation pipelines and observability, so every model, prompt and agent is versioned, tested and monitored.
What This Includes
AI-ready landing zones: model access policies, GPU and throughput quotas, private endpoints
Model gateways for routing, rate limiting and fallback across providers
Prompt and model version management
Automated evaluation pipelines in CI/CD
Observability: tracing, latency, quality and token-cost dashboards
MLOps for custom and fine-tuned models on Amazon SageMaker and Azure Machine Learning
Governance: audit logs, data retention and responsible AI controls
How an Engagement Works
We assess your current platform and AI initiatives, then deliver a reference AI platform as code: landing zone, gateway, pipelines and dashboards. New AI use cases can then be built on a proven base instead of starting from scratch.
Why Tech Teams Trust Us
Leadership with 20+ years of infrastructure and DevOps delivery
Everything as code: Terraform, CDK, Bicep and CI/CD
Cost and security controls built in from the start
Let’s Build Your AI Platform
Book a free discovery session to review your AI platform and the path from prototype to production.