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From Bricks to Protocols: When Money Moves Like Data

By Cristian Huertas - Several Startups
Founder & CEO

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Cristian Huertas By Cristian Huertas | Chieff Revenue Officer - Thu, 08/21/2025 - 06:30

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In 2022, I co-founded Morgana, a digital mortgage broker built to streamline one of the most opaque financial processes in Mexico: securing a home loan. We developed best-in-class technology, an engine that quoted across banks, automated paperwork, and digitized onboarding. We hit high volumes. We had traction.

And still, we stalled.

The reason? Real estate doesn’t scale like software. It scales like capital.

Morgana didn’t stall because of poor product–market fit. It stalled because the system underneath — the capital stack — wasn’t liquid, composable, or programmable. We were solving for distribution in a market still bottlenecked by trust and funding.

That experience reframed how I see fintech — and the economy.

The next wave of financial innovation in Latin America won’t come from smoother UIs or digital brokers. It will come from building the missing pipes: protocols that move capital with the same speed and modularity as data.

The Shift: Capital Is Becoming Code

The past decade of fintech was about putting services online. Neobanks, wallets, APIs, digital KYC — all aimed to make traditional products more accessible. But accessibility isn’t infrastructure.

Today, we’re entering a new phase: capital is becoming programmable. This shift is as profound as the move from paper to digital.

  • Private credit markets are outpacing public ones across emerging economies.
  • Stablecoins and digital dollars are becoming default settlement rails across remittance corridors.
  • Infrastructure fintechs are replacing banking software stacks with modular systems — composable identity, cash flow verification, real-time reconciliation.

When money moves like data, systems have to become interoperable. The bottleneck moves from UI to protocol.

Mexico’s Advantage: A Capital Markets Lab in Plain Sight

Mexico is often seen as a slow adopter. In truth, it’s quietly built one of the most flexible capital architecture toolkits in the region:

  • CKDs and CERPIs enable pension-backed capital to reach private assets.
  • FIBRAs provide tax-efficient real estate exposure to retail and institutional investors alike.
  • Sofomes lend with flexibility banks can’t match, often serving as innovation sandboxes.
  • The Fintech Law — the first in Latin America to regulate APIs and digital wallets — created a licensing pathway for modular financial services.

What the market still lacks isn’t regulation. It’s translation: protocols that connect these layers efficiently and transparently.

Three Infrastructure Gaps, Hiding in Plain Sight

This is where I’ve been focusing my attention. Not just on the user-facing fintech world, but on the infrastructure layer beneath it. Across that layer, I see at least three major opportunities:

1. Liquidity Infrastructure for Middle-Income Housing

Homes priced between MX$2–4 million (US$106,000-US$213,000) now make up a significant share of new housing starts in Mexico (SHF, 2023), but remain underserved by both public programs and institutional capital.

There’s no scalable vehicle to aggregate, securitize, or monetize these assets. They are too small for FIBRAs, too fragmented for funds, and too unstructured for debt markets.

This segment is Mexico’s most under-leveraged asset class, and it lacks a protocol.

2. The Missing Operating System for the Mexican Diaspora

Mexico received over US$63 billion in remittances in 2023 (Banxico). That figure represents more than 4% of GDP and is now the country’s largest source of foreign exchange. But what’s astonishing isn’t just the volume, it’s the untapped financial signal inside those flows.

Right now, remittance recipients can barely do more than withdraw in cash. But the data attached to those flows — frequency, sender identity, amount consistency, and channel traceability — has everything a financial institution needs to underwrite services.

Not just credit, but a full stack of financial products:

  • Payday loans based on arrival schedules
  • Mortgage origination using remittance patterns as proof of income
  • Utility and bill payments pre-filled and pre-approved
  • Investments tied to cross-border flows
  • FX hedging and multimarket wealth management integrated directly into remittance rails

This data is already KYC’d and AML-screened in both sending and receiving jurisdictions. In theory, it’s compliant by default. But the infrastructure to make use of that dual-verified stream? It doesn’t exist.

Worse: New political headwinds are surfacing. Proposals from the Trump campaign to tax remittances sent in cash — a recycled idea from 2016 — threaten to penalize low-income families while increasing the urgency for digitally native, traceable, value-preserving rails.

This isn’t just a product gap. It’s a missing layer in the cross-border financial stack.

3. Programmable Compliance and Regulator-Readable Infrastructure

If money moves like data, compliance needs to move like code.

Yet, most regulators, especially in emerging markets, lack affordable, usable tools to interpret blockchain-based activity. Meanwhile, KYC remains expensive, manual, and redundant.

There’s a critical opportunity to build:

  • Modular, interoperable KYC layers
  • Smart contract–driven compliance protocols
  • Regulator-facing dashboards that translate blockchain activity into actionable insights

As programmable finance grows, the future of financial inclusion will depend on whether compliance can become interpretable, affordable, and composable, not just strict.

What’s Next?

This is the beginning of a conversation I plan to keep advancing.

Over the coming weeks, I’ll dive into each of these three areas in depth, drawing on data, case studies, and insights from across Latin America’s capital stack.

We don’t just need better apps. We need capital infrastructure that moves like software, verifies like identity, and builds trust like protocol.

It’s time we stopped calling it innovation when we digitize broken models. Let’s build new ones.
 

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