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Reivex

AI & Automation

LLM features and workflow automation that ship.

We build production AI features — RAG over your data, agentic workflows, and back-office automation — with the guardrails and evals to keep them reliable.

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Outcomes

  • Measurable hours saved per week on repetitive ops work.
  • Evals and observability so quality is visible, not assumed.
  • Human-in-the-loop where stakes are high, automatic where they are not.

What you get

  • RAG pipeline over your documents and data
  • Tool-using agents with audit logs
  • Eval harness and quality dashboards
  • Cost and latency budgets per feature

How we work

Step 1

Map

Identify the highest-ROI workflow to automate first.

Step 2

Pilot

Build a narrow vertical slice; measure quality.

Step 3

Harden

Add evals, fallbacks, and monitoring.

Step 4

Scale

Roll out to more workflows once the first proves out.

Stack we use

ClaudeOpenAIPythonTypeScriptPostgres + pgvectorLangGraph