Saptiva AI is not the first time this team has built critical infrastructure. It is the second time. That distinction matters more than any credential on a resume, because the skills that got Quiubas from zero to regional dominance over thirteen years are the same skills required here, applied to a harder problem.
Quiubas Mobile started with no venture capital, no institutional backing, no strategic advantage other than a willingness to navigate regulated enterprise and carrier procurement for longer than most founders are willing to try. Thirteen years later it was processing mission-critical communications for telecom operators, banks, and enterprises across the region, and was acquired by Twilio.
Quiubas was not a consumer app. It was regulated infrastructure that could not fail. Operating it required navigating compliance across multiple jurisdictions simultaneously, building high-availability systems with strict uptime requirements, earning the trust of enterprise and government buyers with long sales cycles, and integrating into legacy systems that resisted change.
These are not adjacent skills to what Saptiva AI is building. They are identical skills applied to a harder problem.
Google's #1 vendor in 21 countries. Zero dollars of venture capital raised. Thirteen years of compounding execution. The founders are not learning how to do this. They are doing it again.
Operator. Builder. Founder, twice.
Angel founded Quiubas Mobile from zero. No venture capital, no institutional backing, no founding team from a prestige incubator. He bootstrapped a carrier-grade messaging platform across 61 countries over 13 years until it became the dominant regional infrastructure for enterprise and government communications across Latin America.
Quiubas reached ~95% market share in Mexico, ~60% across Latin America, $6M in monthly recurring revenue at peak, and served as Google's #1 vendor in 21 countries. It was acquired by Twilio in 2020.
The pattern there matters. Angel is not the founder who raises a round, hires aggressively, and tries to manufacture traction on a two-year timeline. He is the founder who works on the same problem for thirteen years in a row, with compounding rather than explosive execution, and is still in the room when the hard conversations happen. That is a rare profile, and it is the one this kind of infrastructure requires.
Operations. Jurisdictions. Systems that cannot fail.
Jesus co-built Quiubas Mobile alongside Angel. Thirteen years operating mission-critical communications infrastructure across Latin America taught him a specific discipline: how to keep regulated systems running across multiple jurisdictions simultaneously, at five nines, with enterprise and government customers who treat a failed message as a regulatory event.
Enterprise AI infrastructure needs exactly this discipline. Running inference under several supervisors at once, across different customers, against different residency requirements, is the exact problem Jesus has spent two decades solving in a different layer of the stack.
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.
Builds organizations that ship fast without breaking things.
Former SVP of Engineering at Platzi, the largest edtech platform in Latin America, where he led engineering teams building systems used by millions. Founder of OpenSinergia. He knows how to scale platforms under rapid growth without replatforming. That is the execution profile Saptiva AI needs at this stage.
Sold to the exact buyers Saptiva AI is targeting.
Founded Morgana, the largest digital mortgage broker in Mexico. Led the LBO of Mexico's second-largest mortgage player. Former Head of Latin America at Bnext. Sold regulated financial products to the exact buyers Saptiva AI is targeting. Their workflows, compliance constraints, and internal politics are known before the first meeting.
Translates infrastructure into products that executives buy.
Founded Point CRM. Technical depth combined with the ability to translate complex infrastructure into products that non-technical executives buy. In a market where the buyer is a transformation leader evaluating outcomes, not an engineer evaluating architecture, that translation ability closes deals.
Harvard SEAS / MIT PhD Dropout
Over 110+ IP assets in frontier AI for Fortune 10, pharma, and government. CEO & Co-Founder of VMind AI.
PhD, MIT
Specialties in Brain and Cognitive Sciences, Computer Science, and Artificial Intelligence. Co-founded StateOfTheArt.ai (acquired) and RIIAA.org.
PhD, MIT · General Management, Harvard Business School
AI executive, adviser, and investor (AI Fund, Milemark Capital). Venture Partner at Silicon Foundry.
Sr. Director of Software, Roblox
Engineering executive for platforms, trust, and AI. Leads Engineering Acceleration and Core Platforms at Roblox; previously engineering leadership at Instagram and Google.
We hire a small number of engineers, forward deployed engineers, and operators each quarter. The work is unglamorous in the good sense: regulated enterprise, production systems, long sales cycles, and the satisfaction of building something a continent actually runs on. We treat this like Quiubas. Durable execution over explosive narrative.
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