VBRO Technology
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AI chatbots, WhatsApp automation and workflow agents — See the reference architectures we deploy.

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AI & automation

LLM Integration & Custom AI Models

Model choice as an engineering decision.

Which model, hosted where, at what cost per call — these are the questions that decide whether an AI feature is sustainable. We answer them with numbers rather than preference.

How we scope it

We start by mapping the process as it actually runs, exceptions included, because the exceptions are usually why the packaged product did not fit. That produces a build order — what is costing you now goes first — and an estimate we are willing to be held to.

If the honest answer is that an off-the-shelf product would serve you better, or that this does not need building yet, we will say so. That conversation costs us a project occasionally and saves the relationship every time.

What is included

  • Model selection benchmarked on your own tasks
  • Prompt engineering, evaluation and regression tests
  • Cost and latency budgets enforced in code
  • Fine-tuning or RAG, chosen on evidence

Need llm integration & custom ai models?

Tell us what you are trying to achieve. We will tell you what it would take — including if we are not the right fit.

Where we work

582 cities across 19 countries.

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