CAPABILITIES
Enterprise AI capabilities for systems that must work in production
Inference Stack delivers across the full enterprise AI execution stack: model-powered applications, retrieval systems, conversational interfaces, agentic workflows, runtime control layers, telemetry, and cloud-native AI infrastructure. We design for governance, scale, resilience, and institutional scrutiny from the start.
Capability areas
Enterprise LLM Systems
Domain-specific LLM applications, reasoning interfaces, internal assistants, and operational copilots engineered for real enterprise use.
Learn moreRAG & Knowledge Systems
Grounded retrieval systems with ingestion pipelines, vector search, hybrid retrieval, reranking, citations, and evaluation discipline.
Learn moreAI Chatbots & Copilots
Customer-facing and internal conversational systems with memory boundaries, streaming UX, tool access, authentication, and escalation paths.
Learn moreAgentic AI & Workflow Orchestration
Tool-using agents, multi-step workflow execution, approvals, bounded autonomy, and orchestration layers that keep automation governable.
Learn moreAI Governance & Runtime Controls
Policy-as-code enforcement, execution boundaries, runtime validation, HITL approvals, and audit-ready control paths through LSAS-aligned architecture.
Learn moreAI Telemetry, Evaluation & Observability
Structured traces, execution signals, decision artifacts, evaluation loops, replayability, and operational visibility for AI systems in production.
Learn moreAI Platform Engineering & Resilient Infrastructure
Scalable AI foundations, shared runtime services, CI/CD, deployment hardening, failover strategies, model gateways, and production reliability patterns.
Learn moreCapability-to-outcome mapping
Enterprise LLM Systems
Faster knowledge access, operational augmentation, internal productivity
RAG & Knowledge Systems
Grounded answers, lower hallucination risk, institutional memory access
AI Chatbots & Copilots
Support efficiency, user guidance, conversational interfaces
Agentic AI & Workflow Orchestration
Automated execution, reduced manual coordination, bounded autonomy
AI Governance & Runtime Controls
Safer deployment, auditability, policy enforcement, reviewability
AI Telemetry, Evaluation & Observability
Observability, debugging, operational trust, executive visibility
AI Platform Engineering & Resilience
Scalability, reuse, resilience, faster future delivery
AI on Azure & AWS
Alignment to enterprise cloud standards and procurement realities
How Inference Stack approaches enterprise AI
We do not separate architecture, implementation, and control into disconnected tracks. Inference Stack integrates them so AI systems are not only launched, but governable, operable, and defensible in production.
Architecture-first
Every engagement begins with architecture. We define the structural decisions, boundaries, and integration patterns before writing runtime code.
Production-grade delivery
We build systems designed for real production constraints: CI/CD, testing, deployment hardening, rollback strategies, and operational readiness.
Runtime-governed execution
Governance lives in the runtime, not in documentation. Policy-as-code, validation layers, and control surfaces operate at execution time.
Institutional accountability
AI systems must answer to stakeholders beyond engineering. We design for auditability, evidence, and executive-level operational visibility.
CLOUD & TECHNOLOGY FLUENCY
Technologies we work with in production
Inference Stack is platform-aware but architecture-first. We help enterprises select and implement the right cloud AI substrates, retrieval infrastructure, orchestration patterns, and runtime controls for systems that must operate under real business, regulatory, and operational constraints.
Cloud AI Platforms
- Microsoft Foundry
- Foundry Agent Service
- Azure OpenAI
- Azure AI Search
- Amazon Bedrock
- Bedrock Knowledge Bases
- Bedrock Guardrails
Frameworks & Runtime
- LangChain
- LangGraph
- Python
Retrieval & Vector Infrastructure
- Pinecone
- PostgreSQL
- pgvector
Platform & Delivery
- Orchestration services
- Telemetry architecture
- Evaluation pipelines
- Resilient deployment patterns
Ready to bring enterprise AI under deliberate execution authority?
Schedule a strategic briefing to evaluate your current AI architecture and determine where Inference Stack can help across LLM systems, retrieval platforms, agentic workflows, telemetry, and runtime governance.