About

Closing the gap between AI ambition and enterprise execution.

01Why we exist

Most AI work stops where the hard part starts.

Enterprises have no shortage of AI ideas, pilots or vendor demos. What they are short of is the engineering that turns a promising prototype into a system that runs inside their environment, passes review and gets used.

La Madre exists to do that work. We combine an understanding of how the business actually operates with hands-on engineering, so the system that goes live is the one the business needed.

02The founder

Built by a practitioner, not a pitch deck.

  • Fortune 500
  • Microsoft enterprise stack
  • Agents in production

La Madre was founded by an enterprise AI practitioner who has built production AI agents in Microsoft environments inside a Fortune 500 company, working with Copilot Studio, Power Platform, Azure and Databricks.

That work meant dealing with what decides whether AI reaches production: data access, identity, security review, governance and whether people actually adopt the tool.

We share more about the founder’s background in a first conversation.

03How we’re built

Small by design, senior by default.

  • 01

    Founder-led

    Every engagement is led end to end by the founder. The person you talk to is the person who builds.

  • 02

    Specialists per project

    When a project needs deeper expertise, such as data engineering or front-end, we bring in specialists, and you’ll know who they are before they start.

  • 03

    Growing with demand

    We add people when recurring work justifies it, not to look bigger than we are.

04The name

La Madre means “the mother”: the source something grows from. We build AI that is rooted in the systems you already have.

05Company details

Legal name
[Legal name]
Registration
CNPJ [00.000.000/0001-00]
Based in
Brazil
Working with
Teams across the Americas
Languages
English, Portuguese, Spanish

Have an AI use case stuck between prototype and production?

Tell us what you’re trying to ship. We’ll reply with honest next steps.

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