Engineering judgment.
We analyze your architecture to find savings at the source, with real knowledge of modern cloud systems.
Engineers and economists at heart.
holo is the result of years spent operating at the leading edge of cloud infrastructure. We bring together data science and economic judgment so Engineering, Finance, and Product speak the same language.
Our philosophy
Optimizing isn't about spending less. It's about spending better.
Every dollar that goes to infrastructure should be an investment in the business, not dead weight in the P&L.
Financial rigor.
We build models and forecasts a CFO can rely on, with analysis that holds up to audit.
Built with your team.
A cost culture that sustains itself, built with training, tooling, and real participation.
The team
Who we are
Mauricio Ferrari
I'm an economist and a data scientist, and I spent years leading FinOps in large multicloud environments. I sit between Engineering and Finance: I translate technical decisions into numbers the business can use, so cloud spend is something you see coming, not something you find out about at the end of the month.
Sergio Orbe
I spent a decade designing multicloud infrastructure for systems that scaled fast, and I learned that growth without efficiency isn't sustainable. I bring that same at-scale engineering knowledge to companies that aren't hyperscalers yet, so the business can grow without the bill growing with it.
Martin Perez
I've spent almost ten years building and leading FinOps practices in large-scale cloud environments, including negotiating provider contracts. I turn tangled billing data into an allocation and governance model the organization can use every month.
The first step
The diagnostic assessment is the easiest way to start.
Read-only access to your billing and architecture, no commitment, and concrete findings on your own cloud and AI usage.