Latin America · Fund I

boring.

Boring software. Agentic returns.

A vertical SaaS roll-up and agentic services platform for Latin America. We acquire mission-critical software and re-architect the workflow with agents.

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Thesis

The next category-defining operating company in Latin America won't be a startup.

It will be built on top of boring software — vertical SaaS that already owns the workflow, the data, and the enterprise relationship — with agents running the operating layer underneath.

We acquire mission-critical vertical SaaS in Latin America, re-architect the workflow with voice, vision and reasoning agents, and compound the asset across geographies and adjacent verticals. We invest with permanent capital, on a horizon long enough for the re-architecture to compound, and operate with people who have built, scaled and acquired in the region.

Why now

Three forces are converging — and they won't again.

A generation of Latin American vertical SaaS is entering succession. The cost of running an AI workflow has collapsed. And the labor that used to wrap around the software is, for the first time, fully automatable. We're at the intersection of an asset class becoming available, and a technology becoming deployable.

LatAm SaaS opportunity

$40B+

Annual enterprise software spend in Latin America, growing double digits — yet still under-consolidated and operator-thin.

AI inference cost decline

100×

Cheaper to run a production AI workflow today than in 2020. The unit economics of agents are no longer the bottleneck.

Legacy operations

65%

Of mid-market companies in the region still operate on outdated software, manual back-offices and disconnected systems.

Entry multiples

5–7×

ARR multiples for sub-scale vertical SaaS in LatAm — vs. 10–15× in the US — even with sticky enterprise revenue.

Operating model

From boring asset to compounding platform.

Three phases. Each one reinforces the next. The asset gets cheaper to run, faster to scale, and harder to displace.

Three phases of the Boring operating model PHASE 01 · MONTHS 0–12 Stabilize SAAS ASSET Workflow · Data · Customers Acquire control Professionalize ops Map workflow primitives Underwrite churn floor PHASE 02 · MONTHS 6–24 Agentize AGENTS · VOICE · VISION · REASONING SAAS WORKFLOW + DATA LAYER Re-architect workflows Deploy agents on data layer Capture adjacent BPO labor Outcome-priced services PHASE 03 · MONTHS 18+ Compound Bolt-on adjacent assets Cross-vertical replication Geographic expansion Operating leverage

Permanent capital · Operator-led · Built to compound

Playbook

Five steps. One playbook.

01

Acquire

Mission-critical vertical SaaS with proprietary operational data and enterprise customers.

02

Agentize

Re-architect the workflow with voice, vision and reasoning agents over the existing data layer.

03

Expand

Capture adjacent BPO labor spend at agentic margins, with outcome-priced services.

04

Consolidate

Bolt-on adjacent assets in the same vertical, on top of the management infrastructure already built.

05

Replicate

Cross to new verticals once the engineering rails and operating playbook are proven.

What we look for

Boring on the outside. Compoundable on the inside.

01 · Vertical leadership

Top 1–3 in a defined enterprise niche

Companies that already own a category — not horizontal tools competing on features. Position lets us acquire at sub-scale multiples and build from a defended base.

02 · Mission-critical workflow

Software embedded in daily operations

Not analytics, not nice-to-have. Systems where the customer's business stops if the software stops. Multi-year contracts, low churn, organic price escalators.

03 · Operational data moat

Proprietary data accumulating with usage

Workflow data the customer generates inside the software — invoices, claims, routes, calls, transactions. The fuel for agents that no horizontal AI can replicate.

04 · Re-architectable workflow

Manual labor adjacent that agents can absorb

Workflows where 60–80% of the work is still humans typing, calling, routing, reviewing. The space where re-architecting with agents creates the largest margin step-up.

Team

Operators first, investors second.

DC

Domingo Cruzat

Senior Partner

Commercial & expansion · leadership · ecommerce & retail.

HW · Falabella · Merama

ML

Manuel José León

Senior Partner

M&A · strategic finance & FP&A · corporate strategy.

Antofagasta Minerals · Falabella · Merama

AF

Agustín Feuerhake

Senior Partner · Strategic Advisor

Tech · AI · fund building.

Fintual · BUDA · Platanus

GA

Gil Aguila

Partner

Integration · playbooks · AI · Mexico.

Kavak · Merama · Konko AI

Contact

For LP inquiries and selective founder conversations.

partners@boringcapital.io

Santiago · Chile Latin America