Product & AI Engineering, Built From Zero

A senior nearshore team in Argentina that builds software, data
and AI systems from zero — and keeps them running in production.

Artificial intelligence,
built to survive production

Most AI pilots demo well and stall on the way to production — not because the model is weak, but because the integration, the evaluation and the failure paths were never built. That gap is the part we treat as the actual engineering work.

Book a call Explore AI engineering Starts with an honest assessment — including when the answer is no
  • AI opportunity assessment

    An honest read on where AI would pay for itself in your business and where it would not. Some of what gets pitched as an AI problem is a data problem, a process problem, or already solved by a query — and we would rather say so than build it.

  • RAG and knowledge systems

    Retrieval-augmented systems that answer from your documents, tickets and databases instead of from a model's memory — with the chunking, retrieval quality and citation paths that decide whether the answers are trustworthy.

  • AI agents and workflow automation

    Agents that actually complete work: reading from your systems, calling your tools and APIs, and handing off to a person at the points where a person should decide. Scoped to the workflows where autonomy is safe to grant.

  • LLM features in existing products

    Model-backed capability added to software you already run — drafting, extraction, classification, search, summarisation — built to your existing architecture rather than bolted alongside it.

From zero to
production, end to end

One team carries a project from an empty repository through testing and deployment to the data it produces — and stays with it once it is live. AI runs through the build and the data work rather than sitting beside them as one more thing to buy.

  1. Software Development

    Real systems, built from the ground up

    Full-stack engineering from a blank repository to a production release — architecture, code, and the judgment calls in between.

    • Web applications
    • Mobile applications
    • APIs and backend services
  2. Quality Assurance

    Proof that it actually works

    Test strategy, automation and evaluation — including how you tell whether an AI system's output is actually right, which is the question most teams leave unanswered.

    • Test strategy
    • Automated test suites
    • Manual and exploratory testing
  3. DevOps

    Pipelines that ship without drama

    Build, deploy and monitoring automated end to end, so a release is a routine merge and an outage raises an alert before your users notice it.

    • CI/CD pipelines
    • Cloud infrastructure
    • Containers and orchestration
  4. Data Engineering

    Turning what it records into answers

    Pipelines, warehouses and models that make data usable — so the systems built on top of it can be trusted to answer correctly.

    • Data pipelines
    • Warehouse modelling
    • Data quality testing

Ready to start building?

Book a call
  • UTC−3 Buenos Aires shares the US East Coast workday all year. Questions get answered live, not overnight.
  • Senior only No junior bench. Nobody learns the job on your budget.
  • All live Every product we show runs in production today.

Let's build
something real

Whether you have a project in mind, need to augment your team, or simply want to explore what's possible — we'd love to hear from you.

Headquarters

Fray Justo Santa María de Oro 2353

Buenos Aires, Argentina

Book a call 30 minutes at a time that suits you — no back and forth over email.

Short on time? Take 15 minutes instead.

or send a message

We reply within 24 hours. The first consultation is free.