Nayo Mobile Grooming
Nayo Mobile Grooming
Grooming & Beauty
South Florida

Turning appointment data into growth intelligence

Nayo Grooming came to Veritas Data with years of transaction history locked in point-of-sale systems and no way to act on it. We built a data platform that surfaces customer lifetime value, churn signals, and demand patterns — giving the business clear, actionable insights that drive retention and revenue.

Engagement scope
Data Strategy Assessment Customer Analytics AWS Data Pipeline Retention Modeling
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Outcome: Automated reporting dashboard replacing manual spreadsheets, with real-time visibility into client retention, service mix, and peak demand windows — enabling data-driven scheduling and targeted retention campaigns.

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SFM Services, Inc.
SFM Services, Inc.
Professional Services
South Florida

From fragmented operations to a unified data platform

SFM Services needed to move beyond disconnected spreadsheets and manual reporting. Veritas Data designed and implemented a cloud data infrastructure on AWS that consolidates operational data, automates key workflows, and delivers real-time performance metrics to leadership — replacing guesswork with clarity.

Engagement scope
Platform Architecture ETL Automation Executive Dashboards AI Process Automation LLM Integration

Outcome: End-to-end data infrastructure replacing manual reporting cycles, with AI-assisted workflows that cut operational overhead and surface performance insights on demand.

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Banco Núñez
Banco Núñez
Legal & Financial
Miami, Florida

A bilingual knowledge base for historical legal claims

Banco Núñez — Cuba's second-largest bank before the 1960 nationalization — engaged Veritas Data to build an intelligent document platform for their Helms-Burton litigation strategy. Decades of banking records, correspondence, and financial documents are now searchable, cross-referenced, and available to legal counsel in real time.

Engagement scope
Document Intelligence Platform AWS Textract OCR Bilingual Search (EN/ES) Legal Knowledge Base LLM Query Interface
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Outcome: A secure, AI-powered research platform enabling legal teams to query 60+ years of historical documents — reducing research time from weeks to minutes and strengthening the evidentiary foundation for Helms-Burton claims.

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