Production architecture
Turn a use case into a secure, observable, supportable system design.
AI DEPLOYMENT
Move AI from prototype to production.
Design and deploy practical production architectures using OpenAI, Amazon Bedrock, managed model APIs, open models, and cloud-native infrastructure.
PRODUCTION OUTCOMES
Built around what the workload needs to achieve.
Practical engineering choices, tied to measurable operating requirements rather than a single model or platform.
Model integration
Connect applications to the right managed API, Bedrock model, or open-model serving layer.
Launch readiness
Establish deployment pipelines, operating controls, and a clear production launch plan.
CAPABILITIES
Focused technical delivery.
Scope is shaped around the workload, current architecture, and operating priorities.
- Workload and architecture assessment
- OpenAI and managed API integration
- Amazon Bedrock deployment
- Open-model serving architecture
- EKS and GPU infrastructure
- Security baseline coordination
- Observability and cost model
- Production launch planning
DELIVERY FLOW
From technical context to production results.
Frame
Clarify the workload, users, model strategy, constraints, and success criteria.
Architect
Select services, deployment patterns, controls, and operating boundaries.
Build
Implement the environment, integrations, deployment flow, and observability.
Launch
Validate production readiness and hand off a practical operating plan.
TECHNOLOGY FIT
Use the stack that fits the workload.
Services and components are selected against production requirements.
OpenAIAmazon BedrockAmazon EKSSageMakerEC2 GPUOpen Models
READY FOR PRODUCTION
Take your AI application into production.
Build the infrastructure, controls, and operating model required to move from experiment to production.
Bring us a business problem