ncodelab.

AI automation studio · est. 2026

We build AI agents that ship.

Custom agents and workflow automation for teams that need real systems — not demos, not dashboards, not slides.

Editorial composition of machined components in exploded-axonometric perspective with thin indigo line traces.

What we ship

Three kinds of work.

We pick problems where an agent earns its keep — repetitive judgment calls, document grunt work, multi-step research.

01

Custom agents

Bespoke agents built around your operations — not a wrapper on someone else's chatbot. Scoped, evaluated, and deployed end-to-end.

02

Workflow automation

Long-running pipelines that handle real work: triage, enrichment, reporting, multi-tool orchestration. With proper observability.

03

RAG & knowledge

Retrieval over your internal docs that actually answers the question. Versioned, evaluated, no hallucination theatre.

How we work

Four steps. No theatre.

  1. 01

    Discover

    We pick a single workflow with measurable upside and a real owner. No giant scoping doc.

  2. 02

    Design

    Eval set first, agent second. We define what 'works' before we write a prompt.

  3. 03

    Deploy

    Production-grade, in your stack, with observability and a kill switch on day one.

  4. 04

    Iterate

    Weekly metrics, weekly improvements. We stay attached until the numbers move.

Stack we live in

Boring tools, sharp use.

  • OpenAI
  • Anthropic
  • LangGraph
  • Vercel
  • Postgres
  • Redis
  • Cloudflare
  • Modal
  • Temporal
  • TypeScript

Get in touch

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