Zetesis

(ζήτησις) — from Greek, inquiry

We cut the uncertainty until you can decide.

And we leave the prototype to start from.

See how we work

01Services

What I can do for you

Fixed-scope projects with clear goals. An outside perspective to see what your team no longer can.

02Method

How I work

Five steps, and you don't have to climb them all.

01first session

First contact

Understanding the problem and scoping it. No deliverables.

02fixed price

The map

Your knowledge, ordered and navigable.

The deliverable

You leave with a graph of your own knowledge

While it lasts

It is where your team and I share what we know.

Explorer of the CERN IT governance graph: the MALT — Microsoft Alternatives node selected, with its card and the notes linking to it.CERN SSOService · 34 relations · 1 source
Example case

CERN IT governance

274notes
806relationships

When it ends

It stays with you: every decision, with its reasoning and its source.

03hourly

Judgement

What is dead weight, what to redirect, what will get expensive.

04scoped

Test

A prototype that proves or rules out that something fits.

05budget per phase

Implementation

In phases, each with its own scope and price.

Pricing agreed in the first conversation · 50% up front, 50% on delivery · no maintenance.

Rubén García

Proof of Work

Rubén García Hernando

Technology partner · Systems architect

Everything I offer, I apply first to my own product. Zetesis is systems architecture, artificial intelligence and complex problem solving in production: a RAG as a Service with semantic search, AI agents and deployment on Kubernetes. Open core, maintained and running.

Open Source

Set up your own CMS with semantic search and RAG chat in minutes. One click, one DevContainer, and you have Payload CMS + Typesense + AI running locally.

payload-agents

# Clone and start locally

$ git clone https://github.com/Zetesis-Labs/PayloadAgents

$ pnpm install

$ pnpm dev

# 6 publishable npm packages

$ pnpm --filter @zetesis/* build