SAPTIVA AI builds the control plane for AI. Its control plane, frIdA, decides where each AI request runs, under the configuration you set, and signs a record of every decision, so enterprises can put AI into production on infrastructure they control.
One control plane, the applications on top of it, and the engineers who get it to production.
frIdA sits between everything that calls a model and everywhere a model can run. It decides where each request runs, under the configuration you set, prices it, and signs a record of every decision.
What is a control plane? →Where your organization builds, operates and governs its AI. Savant, RAGster and Dictaminador are delivered inside Studio, and everything built there runs on frIdA.
See SAPTIVA Studio →It starts with a five-day Discovery on one process that never reached production. Our engineers work inside your team, in your environment, and the first use case reaches production in weeks, not quarters. An engineer, not a rep, replies within 48 hours.
Start a five-day Discovery →Companies whose AI cannot reach production without proof.
In production today at Rappi, Banco Invex, MultiMoney, Universidad Iberoamericana and ACMES.
Every enterprise will choose where its AI runs. Whoever owns that choice owns the spend.
The alternative is renting the decision from whoever sold the compute. For any large enterprise, that conversation is not theoretical. It is happening right now, at every company trying to move from pilot to production.
What is missing is not the model. It is the control plane around the model, the system that decides where AI runs, proves every decision, and meters every cost. That control plane exists. It is frIdA, and it runs in production today.
Jensen Huang is right: every company will run AI in production. What he leaves unanswered is who controls it, on whose infrastructure, on whose terms. SAPTIVA AI exists so that the answer to each of those questions is: yours.
This is not the first time we have built critical infrastructure.
The founders of SAPTIVA AI spent thirteen years (2007 to 2020) building and operating Quiubas Mobile, bootstrapped with no venture capital and no outside backing, until it became the messaging backbone across Latin America and was acquired by Twilio in 2020. SAPTIVA AI is what happens when the same team, with the same operating philosophy, starts again on a bigger problem.
Angel and Jesus Cisneros founded Quiubas Mobile and ran it for thirteen years. No VC. No outside money. Just the patient work of operating carrier-grade infrastructure for banks, telecoms, and enterprises across 61 countries. By the time of the Twilio acquisition in 2020, Quiubas was the dominant messaging backbone across Latin America.
What this taught us matters more than the outcome. We learned how to operate mission-critical infrastructure at scale, for customers whose trust is earned in quarters and lost in minutes. We learned the real shape of doing business with enterprises in Latin America.
After the Twilio acquisition, the obvious path was to step back. We saw something else: the same enterprises we had spent over a decade serving began to ask a new question. How do we actually put AI into production, and prove what it does? The answer, in every conversation, was the same: nobody had built the control plane that made it possible.
Systems integrators were running project-based pilots that never compounded. Internal teams were stuck in multi-year builds. Every enterprise AI initiative was a one-off.
We started SAPTIVA AI to build what did not exist yet. One platform. One audit trail. Deployment mode as a runtime concern, not a replatforming event.
This is the beginning, not the end state.
Quiubas, in numbers.
We do not cite Quiubas to brag. We cite it because when an enterprise is considering handing its AI infrastructure to us, the relevant question is not what we have promised. It is what we have actually operated.
Market share
in Mexico
Countries
of operation
Google vendor
in 21 countries
Acquired
by Twilio
The only Mexican company acquired by a Silicon Valley giant.
We built Latin America's messaging backbone before APIs were standardized. We are building the control plane for AI, from Mexico, for the world.
The founders and the people running it with them.
Angel founded Quiubas Mobile from zero, with no venture capital, and ran it for 13 years across 61 countries until Twilio acquired it in 2020. Quiubas reached ~95% market share in Mexico and served as Google’s #1 vendor in 21 countries.
Jesus co-built Quiubas Mobile alongside Angel and spent thirteen years operating its mission-critical communications infrastructure. The operational backbone of SAPTIVA AI is his: if something is running in production today, he is the person accountable for it still running tomorrow.
Lead architect of frIdA. Former SVP of Engineering at Platzi, the largest edtech platform in Latin America, and founder of OpenSinergia.
Founded Morgana, the largest digital mortgage broker in Mexico, and led the LBO of Mexico’s second-largest mortgage player. Former Head of Latin America at Bnext.
NVIDIA Developer Champion - the only one outside the US, 2026 founding cohort. Founded Point CRM.
The founders are not learning how to do this. They are doing it again.
Meet the full team →The principles we will not negotiate.
Every product decision, every hiring decision, every customer conversation eventually lands on a principle. These are the ones we return to.
Pilots are how enterprise AI goes to die. We ship to production in weeks and stay until it runs.
Where it runs, what it decided and what it cost are not features we added. They are the reason the platform exists. Everything else is downstream of getting this right.
The customer chooses the model, the cloud, the deployment mode. The platform follows. If we can only win by trapping people inside our stack, we have not earned the win.
We are not a GPU reseller. We are not a model company. We are not a consultancy. We publish what we run, and we are honest about what we do not yet do. Confidence does not require overclaiming.
We write about our customers only as carefully as they would write about themselves. Volumes, metrics and names are theirs to disclose. The willingness to stay quiet is part of why named customers let us name them.
Quiubas was thirteen years. SAPTIVA AI is a longer arc. We are building infrastructure, not a growth chart. The decisions we make about customers, technology, and team reflect that.
SAPTIVA AI, at a glance.
Questions leaders ask about AI in production. Short answers, with the sources linked.
Read the AI FAQs →Work with us. Or work alongside us.
If you're an enterprise evaluating AI infrastructure, a technologist considering the team, or a company thinking about what owning your AI means in practice, there's a path in for each.