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.
AI strategy that ships
We translate LLM capabilities into concrete systems — RAG pipelines, fine-tuned models, evaluation harnesses, and secure API gateways wired into your existing data.
- Use-case discovery & ROI modelling
- Model selection: open, frontier, on-prem
- Evaluation and red-teaming
Autonomous systems, not demos
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.
- Multi-agent orchestration
- Tool-calling and MCP integrations
- Human-in-the-loop workflows
The stack that keeps agents alive
GPU scheduling, inference serving, vector stores, caching, observability and cost control — the boring, load-bearing pieces that make AI actually work in production.
- Inference serving & autoscaling
- Vector DBs, feature & prompt stores
- Tracing, guardrails, FinOps
Integrated with the tools you already run
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.
Agent Orchestration
LangGraph for graph-based flows, CrewAI for role-based crews, Temporal or Inngest when you need durable workflows that survive restarts.
Inference Stack
vLLM and SGLang for self-hosted LLMs — PagedAttention, continuous batching, FP8/FP4 quantization, multi-LoRA serving when you need per-customer tuning.
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.
Observability & Evals
OpenTelemetry for tracing, Langfuse for LLM-specific UX, CI-gated eval harnesses so prompt changes don't silently break production.
Security & Governance
Guardrails for PII redaction and prompt-injection defense, audit logging, and jurisdiction-aware deployment for EU AI Act or DPDP workloads.
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.
Agents, copilots, chat UIs
- › Custom agent frameworks
- › LLM-powered products
- › Human-in-the-loop review
Routing, tools, memory
- › LangGraph · CrewAI · AutoGen
- › MCP, tool-calling, workflow engines
- › Prompt & context stores
Inference & gateway
- › vLLM · TGI · Triton · Ollama
- › Rate limiting, caching, fallback
- › Streaming & batching
Vectors, features, lineage
- › Pinecone · Qdrant · Weaviate · pgvector
- › Feature stores & retrieval caches
- › Embedding pipelines
GPUs, schedulers, clusters
- › H100 · B200 · MI300 fleets
- › Kubernetes · Ray · Slurm
- › Spot & multi-cloud placement
Traces, evals, cost
- › OpenTelemetry for LLMs
- › Automated evals & regression gates
- › Token & GPU FinOps
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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.