AI & Venture Studio

Enterprise AI for LATAM

The data gap in Latin America is an opportunity. We build vertical AI infrastructure for the B2B Latin American market.

The Data Gap in LATAM

Generic AI — GPT, Claude, Gemini — fails in Latin America because it lacks local data. Global models do not understand the particularities of the Latin American market.

◆Different regulations by country — tax, labor, commercial
◆Languages with regional slang — Mexican Spanish is not the same as Argentine Spanish
◆Different accounting formats — each country has its own standards
◆Unique supply chains — distribution, logistics, imports

The opportunity lies in building the data, not in the models.

Why Generic AI Does Not Work

Large Language Models are commodities — anyone can access GPT-4 or Claude. The real competitive moat lies in vertical data.

◆Does not know the tax regulations of each Latin American country
◆Does not understand local business practices
◆Does not have access to up-to-date regional market data
◆LLMs are commodities — vertical data is the moat

Our Process: Identify, Build, Operate

Identify

We find data gaps in B2B industries where AI can create measurable value. We analyze value chains, identify inefficiencies, and validate the opportunity with real data.

Build

We build the vertical data infrastructure and SaaS product. We design industry-specific data pipelines, train specialized models, and build intuitive interfaces.

Operate

We operate the product with our own team, iterate with real customer feedback, and scale. We don't deliver and leave — we operate each engine as a business.