AI Consulting & Implementation

Cut through the hype. We deploy production AI systems — custom LLM integrations, RAG pipelines, and AIOps — not slide decks about transformation.

Every vendor is selling AI transformation. Most of it is noise. Zenarca works from the other direction: we start with the business problem and work backward to the right AI architecture — which is sometimes a large language model, and sometimes a simpler statistical approach that's cheaper, faster, and more reliable.

When AI is the right answer, we build it to production standards. That means evaluation frameworks for model outputs, latency and cost budgets, retrieval-augmented generation pipelines that actually retrieve the right content, and monitoring that catches hallucinations and drift before users do. We've deployed LLM integrations, AIOps platforms, and custom AI tooling for clients who needed results, not roadmaps.

The AI landscape is moving fast. Models improve monthly. New frameworks appear weekly. Our value is not knowing every model — it's knowing how to evaluate them, how to build abstractions that survive model changes, and how to ship systems that work in production rather than in demos.

Use Cases

  • LLM integration for business workflows (document processing, customer support, code generation)
  • RAG pipeline design and implementation for enterprise knowledge bases
  • AIOps: anomaly detection, predictive alerting, automated incident triage
  • AI strategy and vendor evaluation — separating signal from noise
  • Model fine-tuning, prompt engineering, and evaluation framework design

Technologies

  • OpenAI / Anthropic APIs
  • LangChain / LlamaIndex
  • Pinecone / pgvector
  • Python
  • FastAPI
  • PostgreSQL
  • Docker / Kubernetes

Ready to get started?

Reach out to discuss your specific needs. We'll talk through the problem and tell you honestly whether we're the right fit.

rick@zenarca.com