consultance.ai

Services · Last updated May 2026

LLM consulting for production workflows, not playground demos.

We help businesses use language models in real systems: document workflows, research, support, ops, internal tools. Prompt design, context engineering, retrieval, evals, and deployment.

What we build

LLM architecture
Prompt and context engineering
RAG and tool-use workflows
Model evaluation
Deployment and monitoring

Why it matters

A working LLM project is not an API call. It is prompts, context, retrieval, evals, fallback logic, logging, and the model choice that fits the workload. We do all of it.

  • Pick the right architecture
  • Improve answer quality and reliability
  • Move prototypes to production

Questions about llm consulting

What is LLM consulting?

Helping companies design, build, and deploy systems powered by GPT, Claude, Gemini, or open-source models.

Can you improve an existing LLM prototype?

Yes. We audit prompts, retrieval, evals, latency, logging, and integration quality to get a prototype to production.

Ready to build this?

Book a call and we will map the first high-leverage workflow.

Book an AI audit

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