LLM Integration Services.

LLM integration services connect large language models — GPT-4, Claude, Gemini or open-source alternatives — into your existing product or internal systems so they perform a defined job reliably. The work covers API wiring, prompt and context engineering, retrieval of proprietary data, structured output handling, fallback paths, cost controls and production evaluation — not just calling an endpoint.

Cost depends on feature count, whether RAG or fine-tuning is required, multi-model routing depth, guardrail complexity and compliance needs. Ongoing API spend scales with call volume and context length — we optimize aggressively to keep it low. Fixed-price proposals follow a free scoping session.

GPT-4o excels at reasoning and code generation. Claude is strongest for long-context analysis and safety-critical applications. Open-source models (Llama, Mistral) offer full data privacy on-premise and no per-token cost at scale. Most production systems use a hybrid — routing simple queries to cheaper models and complex ones to premium providers.

A basic API integration takes 2–4 weeks. A full RAG system with vector search and production deployment takes 6–12 weeks. Custom fine-tuning runs 8–16 weeks including data prep and evaluation. Working prototypes ship within the first 2–3 weeks.

RAG grounding anchors responses in verified data. We add output validation with structured schemas, confidence scoring for uncertain answers, guardrails for harmful outputs, citation tracking and human-in-the-loop workflows for high-stakes decisions. Production systems typically reach 95%+ factual accuracy on domain-specific tasks.

Semantic caching (30–50% savings on repeated queries), intelligent model routing, prompt optimization, batching and response streaming. Combined, these typically cut costs 40–70% without quality loss.

Yes. We deploy open-source models (Llama, Mistral) on your private cloud or on-premise using vLLM, TGI or Ollama — zero data leaves your security boundary with full control over model and infrastructure.