Enterprise AI Infrastructure Services
Design, deploy, govern, and optimize production AI infrastructure.
We help organizations build and operate production-ready AI platforms using modern LLM architectures, RAG pipelines, AI agents, Kubernetes, and cloud-native infrastructure. From architecture and deployment to governance, observability, and optimization, we help engineering teams confidently move AI systems into production.
Why Organizations Need AI Infrastructure
Many teams have successfully built AI prototypes. Moving those prototypes into reliable production systems is a different problem — one of enterprise AI architecture, operations, and governance. Common challenges include:
- •Choosing the right LLM architecture
- •Deploying AI applications on Kubernetes
- •Scaling AI workloads
- •AI Governance
- •Shadow AI
- •Production RAG systems
- •Cost optimization
- •Security
- •Monitoring
- •AI observability
- •Multi-cloud deployments
Building a prototype is straightforward. Running AI reliably in production requires scalable architecture, governance, observability, security, and operational expertise.
Services
Consulting across the full lifecycle of enterprise AI architecture and AI platform engineering — from design to production AI operations.
AI Platform Architecture
Design scalable enterprise AI architecture for production environments.
- ✓Architecture reviews
- ✓Platform design
- ✓AI Platform Modernization
- ✓Kubernetes deployment strategy
- ✓Multi-cloud architecture
AI Governance
Understand where AI is being used across your infrastructure — approved or not.
- ✓AI inventory
- ✓Shadow AI detection
- ✓AI usage visibility
- ✓AI provider discovery
- ✓AI workload monitoring
- ✓Enterprise AI adoption
- ✓AI policy recommendations
Infrastructure-native AI Governance — no application instrumentation required.
Agentic AI Platforms
Design and deploy production AI agent architectures.
- ✓Agent architecture design
- ✓Multi-agent orchestration
- ✓Tool & API integration
- ✓Guardrails & evaluation
Experience with modern AI orchestration frameworks including LangGraph, OpenAI Agents SDK, CrewAI, Model Context Protocol (MCP), and related technologies.
Retrieval-Augmented Generation (RAG)
Build production-ready RAG pipelines and LLM infrastructure.
- ✓Document ingestion
- ✓Chunking strategies
- ✓Embeddings
- ✓Vector search
- ✓Context retrieval
- ✓Evaluation
- ✓Retrieval optimization
Vector database support including FAISS, pgvector, Pinecone, and Weaviate.
AI Infrastructure Operations
Operate AI workloads reliably in production — AI platform operations done right.
- ✓Kubernetes
- ✓Model serving
- ✓AI workload deployment
- ✓Scaling
- ✓Monitoring
- ✓Performance tuning
- ✓Observability
- ✓Production readiness
Technologies include Kubernetes, Docker, AWS, Azure, Google Cloud, vLLM, and Ollama.
AI Cost Optimization
Control the cost of running generative AI infrastructure at scale.
- ✓AI infrastructure cost optimization
- ✓LLM cost visibility
- ✓Cloud cost optimization
- ✓Infrastructure efficiency
- ✓AI resource utilization
- ✓GPU planning
- ✓Cloud architecture optimization
Why Sentrilite
What sets us apart from a general AI consultant or freelancer.
Enterprise Infrastructure First
17+ years designing cloud infrastructure, distributed systems, Linux and Kubernetes platforms.
Production AI Focus
We focus on deploying and operating AI systems reliably in production rather than building prototypes.
Infrastructure Intelligence
Our consulting is backed by software for AI Governance, Cloud Cost Intelligence, and Runtime Security.
Vendor-Neutral & Open Standards
We recommend the right architecture for your requirements, not a fixed stack or a product we are trying to sell.
Our Background
Sentrilite is an infrastructure engineering company expanding into enterprise AI infrastructure. Our strength is building and operating the systems AI runs on — not training foundation models.
- ✓17+ years building enterprise software
- ✓Deep experience with Linux
- ✓Kubernetes
- ✓Distributed Systems
- ✓Cloud Infrastructure
- ✓AI Governance
- ✓Cloud Cost Intelligence
- ✓Runtime Security
Contributions to core infrastructure projects the industry depends on:
Our expertise is in building and operating enterprise infrastructure, not training foundation models.
AI Infrastructure Assessment
An independent review of your production AI readiness.
We'll review:
- ✓AI Architecture
- ✓Agent Design
- ✓RAG Pipeline
- ✓AI Governance
- ✓Production Readiness
- ✓Cost Optimization
Industries
Technology Stack
We work across the tools and platforms enterprise AI platform engineering teams actually run in production.
Typical Deliverables
What you actually receive from an engagement.
- ✓AI Architecture Review
- ✓Production Readiness Report
- ✓AI Governance Assessment
- ✓Deployment Plan
- ✓Kubernetes Architecture Recommendations
- ✓Cost Optimization Recommendations
Engagement Models
Architecture Review
Review an existing AI platform and recommend improvements.
Production Readiness Assessment
Evaluate whether an AI application is ready for production deployment.
AI Infrastructure Consulting
Provide architecture guidance during implementation.
Fractional AI Infrastructure Architect
Ongoing architecture and technical leadership for startups and enterprise teams.
Ready to Build Production AI Infrastructure?
Whether you're deploying your first AI application or scaling enterprise AI across your organization, Sentrilite helps design secure, scalable, and production-ready AI platforms.
Schedule a Consultation