We modernize how organizations operate, decide, and compete —
with data, applications, and AI built to last.
Cabana Data is an engineering team specialized in Google Cloud. We work with companies in Costa Rica, LATAM, and the United States that need technology built to work in production, not just in presentations.
Trusted By
Organizations
Already running on structured data, custom applications, and AI in production.
Three Symptoms. One Root Problem.
Organizations that fail to scale technologically
don't have a budget problem
They have systems that were never designed to grow. The same patterns show up in data, in operations, and in AI initiatives — and they all share the same root cause.
Data that can't be used to make decisions
Not because it doesn't exist — but because it lives fragmented, ungoverned, in tools that don't talk to each other. Every department works from its own version of the numbers.
Processes that depend on people, not systems
Manual workflows, Excel reports, operations that only work because someone knows how to run them. When that knowledge never makes it into a system, scaling becomes impossible.
AI initiatives that never reach production
Not for lack of ambition — but because the infrastructure behind them was never ready. AI projects that fail almost always fail before a single line of model code is written.
OUR APPROACH
Services We
Offer
Each layer builds on the one before it. Our methodology goes from diagnosis to production, making sure every investment has a clear business justification.
Data Consulting
Before building anything, we connect data sources that have been running in parallel for years without ever talking to each other. Through discovery workshops and technical analysis, we map your current reality, identify gaps, and define what order to build in.
- AI readiness assessment
- Data diagnosis
- Data quality and governance audit
- Prioritized data investment roadmap
By the end of the process, your organization knows exactly what it has, what it's missing, and in what order to build it. No assumptions, no generic roadmaps.
Data Engineering
We build data infrastructure from the ground up for organizations operating without a consolidated source of truth. Automated pipelines that replace the chaos of manual exports and systems that were never designed to integrate.
- Data warehouse design and implementation
- Automated ETL/ELT pipelines
- Real-time data integration
- Scalable architecture on Google Cloud
Your team stops chasing the right number and starts using it to make decisions. A warehouse that didn't exist before becomes the central source for the whole organization.
Custom Applications
We design and build operational platforms for organizations running their business through emails, spreadsheets, and processes that depend on key people. Every application is built around the real process — validated with Design Thinking — not a generic template adapted halfway.
- Digital product feasibility study
- Design Thinking workshops and UX/UI design
- Operational and internal platforms
- Workflow automation
The team goes from operating without a system to having a centralized platform they actually use — because it was built exactly around how they work.
Dashboards and Data Analytics
We turn data that's already defined and prioritized into interactive, automated dashboards. Power BI or Looker, with the governance and security your operation needs — so that no longer exporting reports by hand is the starting point, not the finish line.
- Interactive dashboards and reports
- Automated data refresh
- Row-level security (RLS) by user role
- Power BI and Looker integration
Your team stops waiting for Friday's report and starts exploring its own data in real time.
AI and Intelligent Systems
We implement AI systems that run at the core of the operation, not in a slide deck. Models that make real-time decisions, built on well-designed data infrastructure — because without that foundation, no model makes it to production.
- AI-driven process automation
- LLM integration and AI-powered features
- Predictive analytics
- Intelligent routing and recommendations
Not a shelved pilot. A model in production making real-time operational decisions today — built on the infrastructure that makes it sustainable.
Real Results
Real projects. Measurable impact.
This is how we turn scattered data and manual processes into systems that actually reach production.
From scattered marketing tasks to a coordinated swarm of AI agents
Cabana Data cut the time a marketing team spends pulling together campaign history from 20 minutes to 2, by implementing a swarm of 8 specialized AI agents on top of LangChain.
The account management, strategy, media, creative, design, and digital platform management teams relied on manual, disconnected processes to research campaigns, define audiences, write copy, produce visual concepts, and put together presentations — each task in a different tool, with no shared memory. We implemented a master AI Agent overseeing 8 specialized subagents built on LangChain, which interprets the user's request and automatically delegates it to the right specialist.
How we automated report generation and saved 40 hours/month in data analysis
Cabana Data eliminated 40 hours a week of manual reporting work for a digital advertising client, automating 45 entities across 8 different platforms in Google BigQuery.
A client with a significant presence in digital advertising faced a critical bottleneck: their reporting was built on metrics platforms → spreadsheets with hundreds of formulas → visualization tools. Reports would crash, filters took up to 4 minutes to run, and the formulas became unmanageable. We designed a custom data architecture and implemented a robust layer of automated flows and transformations in Google BigQuery, completely replacing the manual logic.
Real-time sales quota visibility with scalable transactional architecture
Cabana Data built a sales quota tracking platform that meets 98.6% of the client's cybersecurity checklist, consolidating 3 data sources into a single model.
This company needed to consolidate quota progress, sales targets, and commitment tracking into a single platform. We built a custom full-stack application (Angular + NestJS + BigQuery) with integrated SSO authentication, syncing data daily and powering real-time reporting for agents, supervisors, and managers. The result: hierarchical visibility into goal completion and an audited system that meets 98.6% of the client's cybersecurity checklist.
The experts behind every project
A team specialized in data, development, and design — no subcontracting, no middlemen.
AI READINESS ASSESSMENT
Is your company ready for AI? Find out before you invest.
Ruta IA is our technical assessment that evaluates your data infrastructure, identifies the real blockers to implementing AI, and gives you a clear action plan — in 2 to 3 weeks.
Data quality and integrity
Is your data reliable, complete, and consistent?
We assess the coverage, completeness, and consistency of your data sources. We identify duplication issues, null values, and discrepancies between systems that affect the quality of any AI model.
Infrastructure and pipelines
Does your architecture support AI workloads in production?
We review your data stack: storage, orchestration, latency, and scalability. An AI model in production requires reliable pipelines and infrastructure that can handle variable demand.
Governance and privacy
Do you control who accesses your data and how it's used?
We audit access controls, retention policies, regulatory compliance (GDPR, CCPA, local laws), and the traceability mechanisms that support ethical and secure data use.
Process maturity
Are your processes documented and reproducible?
We analyze the level of documentation, automation, and reproducibility of your workflows. Manual, undocumented processes are one of the biggest obstacles to scaling AI.
AI strategy and use cases
Do they know what they want AI for — and have the budget to execute it?
We assess whether there's a clear vision of priority use cases, defined success criteria, and alignment between the technical team and the business to prioritize and fund AI initiatives.
Talent and organizational capacity
Who's going to operate, maintain, and evolve this?
We map the current team's capabilities, knowledge gaps, and the organizational structure needed to sustain AI operations in production long term.
Key Technology Partners
Backend
Node.js
Nest.js
Python
.NET
TypeScript
Mobile
React Native
Frontend
React
Next.js
TypeScript
Angular
Cloud
GCP
Azure
AWS
Vercel