Enterprise Data Architecture
We design modern data platforms based on Lakehouse, Data Mesh and cloud-native architectures that enable reliable scaling of analytics and artificial intelligence.
Enterprise Data & AI Engineering
We Transform Enterprises with Data, AI & Architectures of World Class
ZEVORIX is a global engineering firm specialized in designing and operationalizing enterprise-grade data and artificial intelligence systems for organizations seeking to lead the digital era.
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200+ Projects delivered
40+ Industries served
98% Client satisfaction
Technology Partners
Built on the world's leading platforms
We design and operate on the same stack the world's most demanding enterprises already run.
Cloud 03
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AWS -
Google Cloud -
Azure
Data & Analytics 04
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Snowflake -
Databricks -
dbt -
Apache Spark
Orchestration & IaC 02
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Kubernetes -
Terraform
What we do
Capabilities designed for the modern enterprise
We combine world-class architecture with operational expertise to transform how organizations create value with their data.
Data Governance & Data Quality
We implement data governance frameworks that ensure quality, traceability, security and compliance in enterprise data ecosystems.
Machine Learning & MLOps
We build production-ready ML pipelines, integrating training, monitoring, drift detection and model operations.
Generative AI & Enterprise RAG
We design secure GenAI architectures for enterprises, including RAG, intelligent agents and fine-tuned models with private data.
AI Risk & Evaluation
We evaluate artificial intelligence models to ensure reliability, transparency and regulatory compliance.
Cloud Strategy
Cloud-native architectures on AWS, Azure and GCP. Migrations, cost optimization and high-availability multi-cloud architectures.
6
capabilities One firm. Measurable results from week 3.
Not sure where to start? Our experts will diagnose your data maturity — at no cost.
Request free diagnosis How We Work A Proven Path to
A Proven Path to
Enterprise-Grade Results
Aligned with TOGAF CRISP-DM
Our engagements are structured around TOGAF for enterprise architecture governance and CRISP-DM for data and AI delivery — two of the most rigorous and battle-tested frameworks in the industry.
01
Architecture Vision
TOGAF-driven scoping of your enterprise data landscape: stakeholder alignment, capability assessment, and definition of the target architecture vision.
Week 1–2
TOGAF 02
Business & Data Understanding
CRISP-DM phase one: translating business objectives into data requirements, profiling sources, and identifying the highest-impact use cases.
Week 2–3
CRISP-DM 03
Architecture Design & Build
Delivering the target-state data and AI architecture — platforms, pipelines, and integrations — by senior engineers embedded in your team.
Week 3–12
TOGAF 04
Data Preparation & Modeling
CRISP-DM core: cleansing, transforming, and structuring data assets; building and validating AI/ML models against agreed success criteria.
Week 6–14
CRISP-DM 05
Governance & Implementation
TOGAF Implementation Governance: embedding data quality controls, observability, and compliance frameworks before any model reaches production.
Ongoing
TOGAF 06
Deployment & Scale
CRISP-DM deployment phase with full MLOps infrastructure, continuous evaluation loops, and structured knowledge transfer to your team.
Week 12+
CRISP-DM 6 weeks
Average time to first value delivery From kickoff to the first production-ready data product — consistently.
Free · No commitment · 5 minutes
How mature is your data organization?
Answer 10 questions and get an instant diagnosis of your data maturity — the same methodology used by leading global firms.
1 Data maturity score by dimension
2 Critical gap identification
3 Prioritized action roadmap
You're almost done!
Enter your details to receive your personalized report and action plan.
Our impact
Results that speak for themselves
200+
Projects completed globally
50+
Data & AI experts
15+
Countries with operations
98%
Client retention rate
Industries
Expertise in the sectors that matter
We bring deep expertise to the unique challenges of each industry, combining domain knowledge with modern data architecture and artificial intelligence to generate real impact.
Financial Services
Banking, insurance and asset management. Data architectures for risk, fraud detection, regulatory compliance and personalization at scale.
Risk & Fraud Regulatory Personalization
Healthcare & Life Sciences
Clinical data, interoperability, biomedical research and AI models applied to diagnostics and computational pharmacology.
Clinical Data Diagnostic AI Interoperability
Retail & eCommerce
Data platforms for personalization, customer analytics, inventory optimization and demand forecasting powered by machine learning.
Customer 360 Forecasting Smart Inventory
Energy & Utilities
Data architectures for operational optimization, predictive maintenance, asset analytics and energy demand modeling.
Predictive Maintenance Asset Analytics Demand Modeling
Telecommunications
Advanced analytics for network optimization, churn prevention, customer segmentation and data monetization.
Churn Prevention Network Analytics Monetization
Technology & Digital Platforms
Cloud-native data infrastructures, real-time analytics, artificial intelligence platforms and digital product scaling.
Cloud-native Real-time Analytics MLOps Scaling
ZEVORIX Thinking
Insights & Perspectives
We explore the ideas, architectures and strategies defining the future of data and artificial intelligence in modern organizations.
Our insights combine deep technical expertise with strategic perspective to help technology leaders make informed decisions in an increasingly data-driven environment.
Data Architecture
Perspectives on how to design modern data platforms capable of scaling advanced analytics and artificial intelligence.
AI & Machine Learning
Analysis on the real implementation of artificial intelligence in enterprise environments.
Generative AI
We explore how organizations can implement GenAI securely and at scale.
Data Governance & AI Risk
Perspectives on data governance, AI trust and regulatory compliance.
Why ZEVORIX
Architecture and intelligence designed to scale
At ZEVORIX we help organizations build the technological foundations that enable data and artificial intelligence to generate real value.
Our approach combines technical depth, enterprise architecture and practical execution to take data and AI initiatives from strategy to production.
Our Differentials
01
Architecture before tools
We design data and AI platforms from the architecture, ensuring scalability, resilience and long-term technological sustainability.
02
Data governance by design
We integrate governance, quality and data traceability from the start, enabling organizations to operate with confidence and meet regulatory requirements.
03
Production-ready AI
We build Machine Learning and GenAI pipelines ready for production, with monitoring, evaluation and model operations.
04
Cloud-native expertise
We design modern platforms in cloud and multi-cloud environments that enable scaling of advanced analytics and artificial intelligence.
05
Boutique approach, enterprise impact
We combine the agility of a specialized firm with architecture and execution standards at the enterprise level.
ZEVORIX helps organizations transform complex data into intelligent platforms capable of driving innovation and competitive advantage.
Meet the Team
The Minds Behind ZEVORIX
A senior team of engineers, architects, and strategists with deep expertise in data, AI, and enterprise transformation.
CEO & Founder
Germayn A. Rivas M.
"We don't just implement technology — we architect the future of how enterprises create value with their data."
With over 15 years leading data and AI transformations across four continents, Germayn founded ZEVORIX to bridge the gap between cutting-edge engineering and real business outcomes. His work has impacted Fortune 500 companies across Financial Services, Healthcare, and Retail.
15+ Years of experience
4 Continents
200+ Projects delivered
AWS Solutions Architect AWS Certified Machine Learning – Specialty Databricks Machine Learning Professional Azure AI Engineer Associate Azure Data Scientist Associate
Connect on LinkedIn 
Data Governance & Quality Lead
Drives data governance frameworks, data quality, and enterprise data trust.
Head of Machine Learning
Leads development of AI models and ML platforms for enterprise decision intelligence.
Director of Data Platform Engineering
Responsible for modern data platforms, data lakes, and real-time analytics infrastructure.
Yordanys Salas
Principal Cloud Architect
Designs scalable multi-cloud architectures across AWS, Azure and GCP.
Anavit Vivas
Head of Data & AI Strategy
Leads enterprise data transformation programs and AI adoption strategies for global organizations.
Annerys Santos
Account Executive
Responsible for developing and managing strategic client relationships, identifying business opportunities related to data architecture, data platforms, and artificial intelligence solutions.
Let's talk
Ready to transform how you use your data?
Connect with our experts and discover how ZEVORIX can help your organization reach its full potential with data and AI.
Tell us about your data challenges.
Our team will get back to you within 24 hours.
Or write to us directly at contact@zevorix.io
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