AI in production for youroperation

You lose hours on tasks AI can already do. We find which ones and automate them inside your system.

Our products

Our products

Your whole business, in one place.

Discover Relay

Your best people's judgment, deciding 24/7.

Discover Cortexa

Relay

Cortexa

How we work

process

Your AI in production, in four steps.

We find where AI makes you win

We look at your operation and tell you where AI actually pays off for you.

  • We map your data and processes
  • We spot where the returns are
  • We pick where to start
  • You get it in writing

We map the path

We show you the full plan (what, how and how much) before touching code.

  • Data, model and architecture
  • What “success” means for you
  • Clear costs and timelines
  • The proposal, before we start

We make it real

In weeks you have your first system running, tested against real cases.

  • Up and running in weeks
  • Connected to your stack
  • Tested on your cases, not a demo
  • Guardrails from day one

We scale it with your team

We leave it running in production and your team ready to take it from here.

  • We watch it in production
  • We keep improving it over time
  • We train your team
  • We plan the next step together
What we do

services

We don't do AI demos. We build the system, plug it into your operation and leave it running.

Let AI do the work

Your team answers the same question twenty times a day and types in by hand what is already written down somewhere else.

  • An assistant that knows your company

    Your people ask in a chat and get the answer right away: where order 4412 stands, what that contract clause says, how much stock is left in the warehouse. No opening four systems, no waiting for someone to reply.

  • Answers pulled from your own documents

    We give it your manuals, contracts, policies and procedures. When it answers, it shows you which file and which page it came from. If the answer is not in there, it says so: it does not make one up.

  • Agents that do the work, not suggest it

    They enter the invoice, build the quote, reply to the usual email, update the spreadsheet. The whole loop, end to end. Your team only looks at the exceptions.

Sorting out your data first

No AI is better than the information you feed it. If your data is scattered, that is where the project starts.

  • PDFs, delivery notes and emails turned into data

    Invoices, delivery notes, contracts, scanned forms, email attachments. Everything someone copies into a spreadsheet by hand today, we read, understand and load into your system.

  • One number, not three versions of it

    Today the same figure comes out different in the ERP, in the manager's spreadsheet and in Monday's report. We bring it into a single source, with clear rules about which one wins, and the argument about which figure is right is over.

  • A map of how your information connects

    A client, their contracts, their orders, their complaints and who handled them. Today all of that only connects inside one person's head. We write it down as a map the AI can walk, so it answers questions no search box can.

Working every day, not once

This is where 95% of AI projects fall over: the demo impresses in the meeting and never reaches the operation.

  • Plugged into the systems you already use

    Your ERP, your CRM, your WhatsApp, your spreadsheets and that custom system from twelve years ago. The AI plugs in there and works where your team already works. You migrate nothing and switch nothing.

  • Ready for real use

    A demo holds up with three users and ten queries. Production is your whole company, every day, with a usage bill at the end of the month. We leave it measured: how long it takes, what each query costs and what alerts you when something breaks.

  • Rules for what it can and cannot do

    Who can access what, which data never leaves your company, what it will not talk about and when it has to hand the case to a person. All of it logged and auditable.

Where to start, and how to carry on without us

The uncomfortable part: deciding what is actually worth automating, and keeping the knowledge in house.

  • Where AI is worth it in your company

    We look at how you work today and hand back the cases ranked by what they return, what each one costs and which to start with. If none of them is worth it, we tell you.

  • The hours your team gets back

    Entering data, cross-checking spreadsheets, building Monday's report, answering the same email for the tenth time. The work nobody wants to do and everybody still has to, every week.

  • So your team can carry on alone

    We train your people to run and extend what we build. When we leave, the knowledge stays: everything we made is yours.

Beyond AI

All the software around it

Not everything is fixed with AI. Sometimes what is missing is the system itself. We do that too, and it is where we come from.

  • Custom software
  • Web development and landing pages
  • Mobile applications
  • UX/UI design
  • Infrastructure and cloud
  • Integrations and APIs
  • Data & analytics
  • Cybersecurity and audit
  • QA and automated testing
  • Process audit
Case studies

projects

A sample of our projects, running in production. The problem each one solved, what it does and what proves it.

Here are some of the projects we have delivered.
Open source

What we give back to the community

We build with AI agents and open up what we make along the way. These are the ones with the most stars.

22
stars on GitHub
18
open repos
See everything we've opened
  • Lucho 10

    gridwright

    Turning a Figma design into a working component eats an afternoon of pixel-pushing.

  • Braian 6

    MyJarbis

    Every Claude Code session starts from zero, and you explain the project all over again.

  • Tincho 2

    RAG-Labs-TS

    There are four RAG frameworks and you don't know which one to pick.

  • Tincho 1

    LangLoop

    Reviewing every LLM output by hand doesn't scale.

Get in touch

One question at a time

Three short questions and we know whether we can help. If we cannot, we say so.

One call. One plan. Real results. Step 1 of 3
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