AI experiments that ship.

Turn your AI / R&D budget into working systems in weeks — not demos.

RAG, automation, internal tools, backend integrations.
40h / 80h / 160h monthly execution.

→ We pick one use case and map how to ship it

Most companies do not have an AI problem. They have an execution problem.

Why?

AI R&D capacity, on demand.

What we actually build:

RAG systems

Retrieval and generation pipelines with evaluation so quality is measurable—not guessed.

Automation

Document, support, and ops workflows wired into the tools you already run.

Internal AI tools

Assistants and interfaces over your company knowledge, built for real internal use.

Backend integrations

APIs, data access, and services connected cleanly to your existing stack.

Production-ready architectures

Auth, observability, and structure so systems can grow past the first working version.

How it works

  1. One use case — pick the problem that actually matters.
  2. Structured R&D — test, iterate, document what is uncertain.
  3. Build — prototype to something you can use.
  4. Handoff — working software, clear notes, reusable foundation.

Why Ars Codex

Most AI work fails after the demo.

Ars Codex focuses on what happens after:

This is not experimentation theater.
This is execution.

Pricing

40h

$9,000

80h

$16,000

160h

$30,000

Start with one use case. Ship in weeks.

Let's turn one idea into a working system.

Book a 20-minute call or send a quick message.