We design, implement, and audit systems where technical decisions intersect with organizational accountability. For organizations where a production failure isn't just a cost — it's operational safety, regulation, service continuity.
Custom software. Data and analytics platforms. AI deployment in regulated environments — copilots, agents, and models matched to the case. Cloud architecture and modernization of critical applications. We work with the stack that fits the context — Microsoft, AWS, Google, Anthropic. All under a criterion of explicit governance over what decisions a system can make and which remain with people.
We work across industry verticals — energy, media, healthcare, among others — with organizations where operational opacity or a regulatory shortcut carries real consequences. We don't sell generic digital transformation: we work where uncertainty is high and regulatory frameworks are strict.
The paradigm has shifted. Engineers are no longer code authors: they're orchestrators of intelligence — directing AI, validating its outputs, and sustaining the architectural rigor AI doesn't yet guarantee on its own. And the organization stops being a passive technology user to become symbiotic — humans and systems in coevolution, not in competition.
That's the next engineering. It's what we already do.
Read · Digital Symbiosis and its maps · LinkedInOne team designs, operates, and learns. There's no handoff between those who think the method and those who execute it — and in projects where the regulatory or technical context shifts fast, that matters more than any documented methodology. Profiles are composed by phase and concrete problem: cloud architecture, data engineering, governance, agent operation. Composition isn't drawn from a catalog: for each case, we look for the neighboring problem we already solved.
Whoever designs, operates. Whoever operates, learns.
We teach at Universidad Nacional de La Matanza, host a fortnightly tech column on radio, intervene in client offices with talks and books, and open the Laboratory for gatherings with those working through these questions. The conversation is part of the work, not its promotion.
The intellectual core of Circo Studio. Public documents on how to delegate autonomy to AI, how to sustain human-AI collaboration, and why context matters more than the model.
Enter the LaboratoryEvery model invocation, every deployment, every query consumes energy, water, compute. We work with a criterion of proportionality: chosen technical capacity should match the value it generates.
Cognitive Footprint · Active principle