Data Engineering & AI Consulting for Mid-Market Companies
in Costa Rica and LATAM — Built on Google Cloud.
We bring deep engineering expertise and hands-on delivery to companies that need their data infrastructure to work — from strategy to production, on Google Cloud.
Trusted By
Companies Across Costa Rica and LATAM
A selection of the organizations we've worked with across data engineering, AI, and custom analytics projects.
Where Data Initiatives Fail
The Gap Between Data
and Business Value
Most data initiatives stall not because of technology, but because of structural gaps in how data is governed, connected, and used for decisions.
Data Lives in Silos
Organizations accumulate data across dozens of tools over time. Without deliberate integration architecture, reporting becomes manual and trust in numbers erodes.
When every team maintains their own data exports, alignment meetings replace decisions.
Definitions Diverge Across Teams
Without a shared semantic layer, the same metric means different things to different teams — slowing down decisions and eroding confidence in data.
The fix isn't more dashboards. It's governed, unified data at the foundation.
AI Requires a Foundation First
AI and automation initiatives fail when the underlying data pipelines are fragile. The bottleneck is rarely the model — it's the infrastructure feeding it.
Companies that invest in the data foundation first see compounding returns as each AI initiative builds on reliable, governed data.
OUR APPROACH
From data chaos to an organization that
decides with clarity
Each layer builds on the last. Our methodology runs from diagnostic to production, ensuring every investment has a clear business justification.
Data Consulting
Before building anything, we make sure you're solving the right problem. Through discovery workshops and technical analysis, we map your current reality, identify gaps, and create an actionable roadmap.
What you get:- AI Readiness Assessment
- Data Health Check
- Digital Product Feasibility Study
- Design Thinking Workshops
You stop building the wrong thing. Every dollar spent on data infrastructure from here forward has a clear business justification.
Data Engineering & Architecture
We connect your systems and build the infrastructure that turns fragmented data into a single, reliable source of truth. Built on Google Cloud Platform with BigQuery and Dataform at the core.
What you get:- Data warehouse design and implementation
- Automated ETL/ELT pipelines
- Real-time data integration
- Scalable, cost-effective architecture
Your team stops arguing over whose numbers are right. One source of truth, always current, accessible across every tool you use.
Custom Applications & Dashboards
Data is only valuable if people can use it. We build tailored applications and dashboards that make your data accessible, interactive, and actionable across your organization.
What you get:- Operational platforms and internal tools
- Interactive dashboards and reporting
- Workflow automation
- Applications built on Next.js, React, and Angular
Reports that were emailed as PDFs become live platforms your team actually opens every morning.
AI & Intelligent Systems
With a solid foundation in place, AI can finally deliver on its promise. We implement intelligent systems that automate processes, surface insights, and enable predictive decision-making.
What you get:- Process automation with AI
- LLM integration and AI-powered features
- Predictive analytics
- Intelligent routing and recommendations
AI that works in production — not a proof of concept that gets shelved after the pilot.
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 delivers a clear action plan — in 2 to 3 weeks.
Data quality and integrity
Is your data reliable, complete, and consistent?
We evaluate 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 an infrastructure that supports variable demand.
Governance and privacy
Do you have control over who accesses and how your data is used?
We audit access controls, retention policies, regulatory compliance (GDPR, CCPA, local laws), and the traceability mechanisms that support the ethical and secure use of data.
Process maturity
Are your processes documented and reproducible?
We analyze the level of documentation, automation, and reproducibility of your workflows. Manual and undocumented processes are one of the biggest obstacles to scaling AI.
Strategy and AI use cases
Do you know what you want AI for — and do you have the budget to execute it?
We evaluate whether there is a clear vision of priority use cases, defined success criteria, and alignment between the technical area and the business to prioritize and finance AI initiatives.
Talent and organizational capacity
Who is going to operate, maintain, and evolve this?
We map the current team's capabilities, knowledge gaps, and the organizational structure necessary to sustain AI operations in production over the long term.
Technology Stack
Core Technology Partners
The platforms and tools at the center of every engagement.
Secondary cloud for multi-cloud client environments
Our primary cloud platform for every engagement
Serverless data warehouse at the core of our analytics stack
Enterprise-grade BI and self-service reporting layer
Reliable relational engine for transactional workloads
Containerized deployments for reproducible environments