Data & AI Consulting

Your competitors have data teams. You need one too.

Veritas Data helps mid-size companies build their first real data infrastructure and AI capabilities — from strategy through implementation. No six-figure retainers. No 90-slide decks that collect dust. Real systems that work.

Schedule a Consultation See Our Services →
$10M – $50M
Revenue range of the companies we serve
First 90 Days
From assessment to working AI system
1/10th the Cost
Compared to building an internal data team
The Problem

Mid-size companies are stuck in a technology gap that's getting wider every quarter.

You've outgrown spreadsheets and gut decisions. Your competitors — the ones slightly bigger than you — already have data teams, predictive analytics, and AI-driven operations. They're making faster decisions with better information.

But you can't justify a $200K data scientist, a $180K ML engineer, and $150K in cloud infrastructure. The big consulting firms will happily charge you $50K for a strategy deck, but who actually builds the thing?

That's the gap. You need enterprise-grade data and AI capabilities, but every path to getting them is either too expensive, too slow, or too disconnected from your actual business.

You're making million-dollar decisions with spreadsheet data
Your financial forecasting lives in Excel. Your inventory planning is based on last year's numbers plus a guess. You know this isn't good enough.
You've tried hiring and it didn't stick
You posted a "Data Analyst" role, maybe even hired someone. But without infrastructure, they spent months cleaning data and building dashboards nobody uses.
Your competitors are pulling ahead
They're using AI for pricing, demand forecasting, customer segmentation. You can see it in their speed. The gap compounds quarterly.
You don't know what you don't know
You've heard about AI, LLMs, predictive analytics. You know it matters. But you don't have someone who can translate that into a concrete plan for your business.
What We Do

Three engagements. Each one builds on the last.

We don't sell hours. We sell outcomes — a clear strategy, a working platform, and AI systems that make your business faster and smarter. See detailed service descriptions →

01
Data & AI Strategy Assessment
A 2–3 week deep dive into your business operations, data landscape, and competitive position. You get a concrete roadmap — not a theoretical deck.
  • Current-state data audit
  • Competitive technology gap analysis
  • AI opportunity identification
  • Prioritized implementation roadmap
  • ROI projections for top 3 initiatives
  • Technology stack recommendations
02
Platform Architecture & Build
We design and implement your data infrastructure on AWS — the foundation that makes everything else possible. Built to scale with you.
  • Cloud infrastructure on AWS
  • Data pipeline design & automation
  • Real-time dashboards & reporting
  • Data warehouse architecture
  • Integration with existing systems
  • Security and compliance setup
03
AI & ML Implementation
Custom AI agents and machine learning models built for your specific business problems. Forecasting, automation, optimization — deployed and working.
  • Predictive analytics (cash flow, demand, churn)
  • LLM/Claude integration for operations
  • Custom AI agent development
  • Process automation with ML
  • Model training on your data
  • Ongoing monitoring & optimization
How We Work

From conversation to working system in 90 days.

We don't disappear for six months and come back with a report. You see progress every week.

01
Discovery Call
A 45-minute conversation about where your business is, where it needs to go, and what technology gaps are holding it back. No pitch — just listening.
02
Assessment
We audit your data, systems, and operations. You get a clear picture of what's possible, what it costs, and what the return looks like — in plain language.
03
Build & Deploy
We build your data platform and AI systems in iterative sprints. You see working software every two weeks. No surprises, no scope creep.
04
Handoff & Support
Your team gets trained, documentation is thorough, and we provide ongoing support. The goal is independence — your systems run without us.
Why Us

We've done this work inside companies like yours.

Veritas Data isn't a team of academics or career consultants. We've built data platforms, deployed ML models, and managed technology transformations from the inside.

Background
Data Science & Technology Leadership
MBA in Technology Management. Years of hands-on experience building data infrastructure, deploying machine learning models, and leading technology strategy for mid-size organizations. We've sat in your seat.
Technical Expertise
Full-Stack Data & AI Capability
AWS architecture, Python/ML engineering, predictive analytics, LLM integration (Claude, GPT), real-time dashboards, ETL pipelines, and production AI deployment. We don't just strategize — we build.
Approach
Business-First, Not Technology-First
Every engagement starts with a business problem, not a technology solution. We speak P&L, not just Python. That's why our implementations actually get used.
Peer-Reviewed Research
  • Research on Entrepreneurship & Innovation in Technology-Driven Markets
    Peer-reviewed · Published research
  • Corporate Social Responsibility and Strategic Business Impact
    Peer-reviewed · Published research
  • Project Management Methodologies for Technology Implementation
    Peer-reviewed · Published research
View on Google Scholar →
Thought Leadership
Regular contributor on AI implementation for mid-market companies, practical machine learning deployment, and bridging the technology gap for growing businesses.
Get Started

The first conversation is free. The insight isn't.

Schedule a 45-minute discovery call. We'll talk about where your business is, what your competitors are doing with data and AI, and whether there's a fit. No sales pitch, no obligation.

Schedule a Discovery Call
Email
contact@veritasdata.com
Ideal Client
Mid-size companies ($10M–$50M revenue) ready to invest in data infrastructure and AI capabilities
Typical Engagement
Assessment (2–3 weeks) → Build (8–12 weeks) → Support (ongoing)
Location
South Florida · Remote-friendly nationwide