AI · AGENTS · INFRASTRUCTURE

Production-grade AI Agents for real businesses.

TURION.AI designs, deploys, and operates custom AI agents — and the infrastructure that keeps them alive. From agent orchestration and tool-calling to GPU serving, vector stores, and observability.

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Deep-dive guides
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Frameworks covered
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Production monitoring
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Aligned deployments
What we do

Three disciplines. One stack.

TURION.AI is a specialist shop for companies betting on AI. We work across the three layers that decide whether a project becomes a line item or a demo that dies in staging.

Our Stack

Integrated with the tools you already run

Technology stack

Production-grade tools, opinionated choices.

We pick components that have survived real traffic. Here are the layers we reach for first when wiring a modern AI system.

Unified AI Gateway

LiteLLM, Portkey, or Cloudflare AI Gateway as the routing layer — retries, fallbacks, per-team budgets, prompt caching, and cost attribution in one place.

LiteLLM Portkey Cloudflare AI

Agent Orchestration

LangGraph for graph-based flows, CrewAI for role-based crews, Temporal or Inngest when you need durable workflows that survive restarts.

LangGraph CrewAI Temporal

Inference Stack

vLLM and SGLang for self-hosted LLMs — PagedAttention, continuous batching, FP8/FP4 quantization, multi-LoRA serving when you need per-customer tuning.

vLLM SGLang TensorRT-LLM

Context & Retrieval

Hybrid search (BM25 + dense + rerank) over Qdrant, Pinecone, or pgvector — plus the working, short-term, and long-term memory layers that real agents need.

Qdrant pgvector Cohere Rerank

Observability & Evals

OpenTelemetry for tracing, Langfuse for LLM-specific UX, CI-gated eval harnesses so prompt changes don't silently break production.

OpenTelemetry Langfuse Promptfoo

Security & Governance

Guardrails for PII redaction and prompt-injection defense, audit logging, and jurisdiction-aware deployment for EU AI Act or DPDP workloads.

Lakera NeMo Guardrails MCP
The stack

The AI infrastructure layer, end to end.

Modern AI products depend on six load-bearing layers. TURION.AI designs, builds, and operates each of them — so your team can focus on the product above the line.

L1 · Application

Agents, copilots, chat UIs

  • Custom agent frameworks
  • LLM-powered products
  • Human-in-the-loop review
L2 · Orchestration

Routing, tools, memory

  • LangGraph · CrewAI · AutoGen
  • MCP, tool-calling, workflow engines
  • Prompt & context stores
L3 · Serving

Inference & gateway

  • vLLM · TGI · Triton · Ollama
  • Rate limiting, caching, fallback
  • Streaming & batching
L4 · Data

Vectors, features, lineage

  • Pinecone · Qdrant · Weaviate · pgvector
  • Feature stores & retrieval caches
  • Embedding pipelines
L5 · Compute

GPUs, schedulers, clusters

  • H100 · B200 · MI300 fleets
  • Kubernetes · Ray · Slurm
  • Spot & multi-cloud placement
L6 · Observability

Traces, evals, cost

  • OpenTelemetry for LLMs
  • Automated evals & regression gates
  • Token & GPU FinOps
Writing

Latest from the blog

Deep dives on AI agents, inference infrastructure, and the patterns that keep production AI systems alive.

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AI is only as good as the infrastructure underneath.

Whether you're shipping your first agent or scaling a multi-cluster inference fleet, we can help you skip the expensive detours.