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AI & Intelligence · Service 09

Generative AI & LLM Apps

Production-grade LLM applications — content, code, and knowledge assistants — wrapped in guardrails, evaluation, and cost controls.

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Prompt template flowing into a model gateway that routes between GPT, Claude, and open-source models, through PII, toxicity, and policy guardrails, producing a proposal draft, code snippet, and product image, with cost, latency, and evals tracked below.
How Generative AI & LLM Apps works in practice.

Problems we solve

  • Generative AI demos that never survive real users or real data
  • Unpredictable output quality, hallucinations, and data-leak risk
  • Model costs and latency that grow without visibility

What we deliver

  • Prompt engineering, templating, and model selection
  • Multi-model gateways with fallback and cost routing
  • Guardrails for PII, safety, and brand policy
  • Evaluation suites, tracing, and usage analytics

Engagement

Prototype-to-production builds with agreed quality and cost thresholds.

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Next step

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