Case Study
A social food discovery app where users explore restaurants, share reviews, and connect over their love of food. Built for iOS with a focus on smooth UX and real-time data.
iOS App Software Development Built From Zero
A senior nearshore team in Argentina that builds software, data
and AI systems from zero — and keeps them running in 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.
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.
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.
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.
Model-backed capability added to software you already run — drafting, extraction, classification, search, summarisation — built to your existing architecture rather than bolted alongside it.
An iOS product we built end to end, and it is live.
Our engineers have worked at
One team carries a build from an empty repository through data, testing and deployment — 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.
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.
The foundation the system runs on
Pipelines, warehouses and models that make data usable — so the systems built on top of it can be trusted to answer correctly.
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.
Pipelines that ship without drama
Our engineers automate processes and accelerate delivery cycles, building infrastructure that enables your team to ship with confidence.
Ready to start building?
Book a callWhether 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.
Fray Justo Santa María de Oro 2353
Buenos Aires, Argentina
Short on time? Take 15 minutes instead.