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.
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.
We translate LLM capabilities into concrete systems — RAG pipelines, fine-tuned models, evaluation harnesses, and secure API gateways wired into your existing data.
Production agents with tool use, memory, and guardrails. We build on LangGraph, CrewAI, AutoGen, and custom orchestrators — or plug into Claude, OpenAI, and Gemini assistants.
GPU scheduling, inference serving, vector stores, caching, observability and cost control — the boring, load-bearing pieces that make AI actually work in production.
We pick components that have survived real traffic. Here are the layers we reach for first when wiring a modern AI system.
LiteLLM, Portkey, or Cloudflare AI Gateway as the routing layer — retries, fallbacks, per-team budgets, prompt caching, and cost attribution in one place.
LangGraph for graph-based flows, CrewAI for role-based crews, Temporal or Inngest when you need durable workflows that survive restarts.
vLLM and SGLang for self-hosted LLMs — PagedAttention, continuous batching, FP8/FP4 quantization, multi-LoRA serving when you need per-customer tuning.
Hybrid search (BM25 + dense + rerank) over Qdrant, Pinecone, or pgvector — plus the working, short-term, and long-term memory layers that real agents need.
OpenTelemetry for tracing, Langfuse for LLM-specific UX, CI-gated eval harnesses so prompt changes don't silently break production.
Guardrails for PII redaction and prompt-injection defense, audit logging, and jurisdiction-aware deployment for EU AI Act or DPDP workloads.
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.
Deep dives on AI agents, inference infrastructure, and the patterns that keep production AI systems alive.
Google Cloud Next, GPT-5.5, Copilot Agent Mode GA, Snowflake Cortex Agents, and critical agent security findings from the past week.
Microsoft, Google, and Okta shipped agent governance tooling this month. We reviewed the landscape for builders facing the 88% pilot failure rate.
A developer's guide to AI Studio features, available Gemini models, free tier limits, and when to move to paid API billing in 2026.
Whether you're shipping your first agent or scaling a multi-cluster inference fleet, we can help you skip the expensive detours.