AI & Datawith results.Not with promises.

We bring real AI to Mexico and LATAM, in Spanish and for any scale. From one person to a large enterprise. Practical, in production, no hype.

Machine LearningAutomationReal-time DashboardsAI AgentsData StrategyMeasurable Results

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Years of experience

Clouds (AWS, GCP, Azure)

Specialized services

10K+

Users impacted

Services we build

What we do, frictionless.

Build reliable data infrastructure

Data Engineering

Design and deploy the data infrastructure your entire organization can trust, from pipelines to centralized warehouses.

DatabasesPipelinesData LakesKafka

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pipeline-monitor, production

Process

From conversation to production.

Every project follows a clear process with defined deliverables at each phase. No surprises, no endless projects.

Phase 01

We understand

We talk with you to understand your company, your data, and your problems. We define which services solve them and put together a clear proposal.

Discovery sessionService definitionProposal with scope and timelines

Phase 02

We build

We develop the solution and deploy it to production. We iterate fast, measure results, and adjust on the go.

Iterative developmentProduction deploymentMonitoring from day one

Phase 03

We deliver

We train your team to be self-sufficient. And you decide how you want to continue.

Full trainingTechnical documentationYou choose the modality

Two delivery modalities

It's yours

We deliver the complete source code and train your team to manage it 100%. Total independence.

Source codeTrainingDocumentation

We take care of it

We handle maintenance, monitoring, and system evolution. You focus on your business.

Maintenance24/7 MonitoringContinuous evolution

Zaipex Labs

We don't just implement, we research.

Zaipex Labs is our applied-research engine for Spanish and LATAM. We build models, datasets, and tools that don't yet exist in our language, and we publish for both the Spanish-speaking and the global community.

AI in Spanish & LATAM

Models perform worse in Spanish. We're changing that: adapting to regional dialects, industries, and cultural contexts of Latin America.

Model efficiency

Smaller, faster, and cheaper models without losing accuracy. Quantization, distillation, and pruning for AI without hyperscaler infrastructure.

LLM evaluation

How to know if a model actually works for your use case. Benchmarks, quality metrics, and hallucination detection.

Industry-applied AI

Manufacturing, healthcare, retail. Where generic models fall short and specific research is needed for real production.

We also build SaaS products designed first for Spanish speakers: individuals, small teams, independent professionals. All research is practically oriented. What we produce improves how we implement AI in real companies and opens access to people who don't have a technical team behind them.

🛠️

SaaS ProductsDesigned first for Spanish speakers (B2B and B2C)

📄

PapersIn Spanish and in English, both. Intentional publication, not machine translation

🤖

Open source modelsFor Spanish and LATAM, with bilingual documentation

📊

Datasets and benchmarksFor the region, open to the community

FAQ

Frequently Asked Questions

Quick answers to the most common questions about our services, process, and data security.

ZAIPEX is a Mexican artificial intelligence and data company. We exist because we got tired of seeing data projects fail, poorly implemented, disconnected from the business, or never reaching production.

We combine real technical depth with a business-results orientation. Here's what we do:

Data engineering: connect, clean, and automate the data you already have
AI Agents & RAG: intelligent automation and answers based on your own data
Machine learning: predictive models deployed in production, not demos
Dashboards & analytics: visualizations your team uses every day
Data strategy: define what to build first and why
Deep learning: high-complexity solutions, vision, NLP, anomaly detection

Additionally, through Zaipex Labs, our research lab, we build our own models, open source tools, and knowledge that feeds every project.

We don't sell tools. We don't do generic digital transformation. We implement AI and data that works, in production, with real users, with measurable impact.

No. The filter is problem complexity, not company size.

We work with enterprises that need AI in production at scale, and with small teams that have a well-defined problem and want it solved well. The conversation starts the same way: you tell us what you need and we say whether it makes sense.

If what you need is something simple, we'll tell you, and we'll point you to the cheapest tool that solves it, even if you don't hire us.

Yes, through two different paths:

Zaipex Consulting works with small teams when the problem warrants it. There's no minimum "company of X size". If your problem is real and well-defined, we can start.
Zaipex Labs publishes SaaS products, open source models, and tools designed first for Spanish speakers (including individuals, independent professionals, and small teams). Much of it is free to use.

Write to [email protected] and we'll figure out which path fits you.

Because we build for LATAM in Spanish, with local context. Not as a late translation.

We implement AI that understands idioms, business realities, and operations in Mexico and LATAM
We speak your language: technical with your CTO, business with leadership, no intermediary bridge
We ship to production, not deliverables that stay in PowerPoint
Our research arm (Zaipex Labs) generates models and datasets for Spanish that global consultancies don't prioritize

We don't compete on global branding. We compete on what we ship working here, in production, today.

No. Period.

Your data is used only for your project. We don't train our models with client data, unless you explicitly ask us to, in writing. This is in our NDA and it's non-negotiable.

Zaipex Labs does its research with proprietary, public, or synthetic data. Never with yours.

No. We publish in Spanish and in English, both. It's intentional, not machine translation.

Spanish for the LATAM audience: universities, researchers, and companies that need references in their language
English for the global community: arXiv, conferences, international citations

Each publication is culturally adapted to its language. It's not the same text translated. The goal is twofold: that Spanish-speaking research becomes a global reference, and that the LATAM community doesn't have to wait six months for someone to translate the papers.

The same applies to open source: bilingual documentation, examples in both languages.

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