Data Driven Tech · Human-led strategy, AI powered execution
Unveiling Our
Data‑Driven Solutions
We transform complex data environments into optimized, privacy-first solutions that empower transparency across AI systems, databases, and application layers.
Who We Are
Innovative
Data
Solutions
Data Driven Tech LLC is a civic technology and privacy research firm founded by Oscar Hernandez. With over five years of federal digital consulting experience across Vote.gov, USA.gov, NASA.gov, and FEMA, our work focuses on making high-impact public data accessible, verifiable, and useful.
We build at the intersection of civic accountability, sports analytics, and Privacy-by-Design — systems that are transparent by architecture, not by promise.
- AI-powered civic accountability — RAG-grounded, hallucination-free political data summaries
- 2026WorldCupGuide.com — match predictions, squad builders, and fan engagement tools
- Privacy-by-Design research — Zero-Trust architecture for retail and public-sector systems
- Open-source first — MIT-licensed, auditable, reproducible by independent researchers
Two platforms in active development. Two defining events. One goal — making public data accessible to everyone.
Active Projects
Built for 2026
Platform 01 · Sport Analytics
2026 World Cup
Fan Guide
Match predictions, squad builders, tournament brackets, and a free digital sticker album system. Built for fans, not subscribers.
Platform 02 · Civic Technology
Civic Transparency
Engine
An open-source, RAG-grounded AI system tracking politician voting records, bills, and campaign finance ahead of the 2026 midterms. Every claim links back to a verified federal source.
How It Works
Civic Transparency Engine
A Retrieval-Augmented Generation (RAG) framework that separates AI reasoning from verified federal data — so every summary is grounded in source, not generated from guesswork.
Data Architecture
Federal-Grade Data Stack
Automated pipelines fetch continuously from Vote.gov, FEC filings, and legislative APIs. Python microservices on Google Cloud Vertex AI orchestrate model logic. BigQuery handles high-velocity analysis; Vector Databases power semantic retrieval of legislative text.
Privacy First
Zero-Persistence by Design
User queries are not stored or linked to PII.Data sent to third-party LLM APIs is scrubbed of identifying metadata before processing.Where possible, small language models handle initial data cleaning locally to minimize cloud exposure.
AI Accountability
Double-Check Logic Cycle
Every AI-generated summary follows three steps: (1) pull exact text from a primary government source, (2) restrict the LLM to summarize only that text, (3) append a cryptographic hash and direct link to the source document so users can verify independently.
Open Source
MIT Licensed & Auditable
The modular MIT-licensed framework lets independent researchers audit prompt templates, replicate data ingestion pipelines, and contribute to the Transparency Logic through public GitHub repositories. No black boxes. By decentralizing oversight, we empower a global community of developers to validate system integrity.
Research & Publications
Advancing Privacy-by-Design
Technical white papers published on Zenodo under Creative Commons Attribution 4.0.
Zenodo · CC BY 4.0
The Glass Curb
Zero-Trust Architecture for Data Minimization in Retail Curbside Fulfillment
White Paper · Privacy Architecture · Retail Tech
The Glass Curb
Oscar Hernandez · Data Driven Tech LLC
The rapid adoption of BOPIS and curbside fulfillment has outpaced the development of privacy-preserving standards for physical logistics. This paper identifies a critical vulnerability where frontline employee devices broadcast unmasked PII — legal names, vehicle data, and EBT status — before the customer even arrives.
The Zero-Trust Curbside Protocol uses Just-in-Time Location-Based Decryption and a rotating One-Time PIN to keep customer data encrypted until the exact moment of handoff — eliminating Ghost Delivery fraud without slowing fulfillment.
Key Findings
- Standard BOPIS apps broadcast unmasked PII before arrival — a direct ORC and social engineering vector
- Non-anonymized workflows expose customer ethnicity and financial status, creating bias liability
- The Blind Handoff eliminates Ghost Delivery fraud while maintaining fulfillment speed
From the Team
Latest Insights
Civic tech, World Cup coverage, privacy architecture, and data innovation from our team.
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Modern Design Trends in Tech
Explore the latest design trends in technology and how Data Driven Tech LLC incorporates them to…
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The Role of Transparency in Technology
Understand the significance of transparency in technology and how Data Driven Tech LLC embodies this principle…
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Analytics for the 2026 FIFA World Cup
Get insights into how Data Driven Tech LLC is preparing advanced analytics for the upcoming 2026…
Get in Touch
Let’s Talk
Data Driven Tech LLC is a research-first civic technology firm. If you are a researcher, journalist, public institution, or organization interested in what we are building — we would like to hear from you.
Active Projects
2026WorldCupGuide.com
Fan analytics, predictions, squad builders, and free digital sticker albums for the 2026 FIFA World Cup.
Civic Transparency Engine
Open-source RAG system for the 2026 midterms. MIT licensed. Every claim verified against a federal source.
Published Research
The Glass Curb
Zero-Trust Architecture for Retail Curbside Fulfillment. Published on Zenodo, CC BY 4.0.