Data infrastructure consultancy · Atlanta, Georgia

Data infrastructure is AI infrastructure.

Everyone is selling you models, agents, and copilots. Almost nobody is telling you the uncomfortable truth: the model is the easy part. The foundation is the work. Peach Core gets your data clean, defined, governed, and trustworthy — so the AI you build on top of it actually works.

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The foundation is the work.

A new BI tool won't make your dashboards agree. A modern warehouse won't deduplicate your customers. An AI tool won't make its own output trustworthy. At some point, the issue is not the tool — it's the decisions and foundations the tool is being asked to sit on top of.

We sequence the work on purpose:

  1. 1Decisions
  2. 2Definitions
  3. 3Ownership
  4. 4Pipelines
  5. 5Tools

That's slower at the start. It's also the only version that survives contact with production.

Foundation first

We believe in sequencing. Definitions before dashboards. Ownership before pipelines. Foundations before models.

Honest assessment

We tell you where you actually stand — including when the answer is "you're not ready for the thing you want to buy." Sometimes the best recommendation is: pause, fix the foundation first.

Southern engineering

Atlanta is a city that ships — freight, flights, transactions, patients. We build in that tradition: infrastructure that holds up under load at 3 a.m. Practical beats novel.

Services

A ladder, not a lock-in. Each engagement is a natural next step from the one before it, and the first rung is deliberately small, fixed-price, and low-risk. Fees below are typical starting points; every engagement is scoped and quoted in writing before we start.

01 From $18,000 Fixed fee · 3–4 weeks

Data Readiness Assessment

The front door.

A fixed-scope diagnostic of whether your data can support what you want to build on it — AI, analytics, automation, or all three. We examine data quality, metric definitions, pipeline reliability, lineage, ownership, and architecture.

Deliverables

  • Readiness scorecard across six dimensions
  • Gap analysis in plain English an executive can read
  • Prioritized, costed remediation roadmap you own
  • Executive readout and working session

Best for

A CIO who needs to turn "our data is a mess" into a plan they can take to the board.

02 From $50,000 Phased project · 2–6 months

Foundation Build

The core engagement.

Fixing the gaps the assessment found, in priority order — scoped in phases with defined exits, so you always know what you're paying for and when it's done.

Deliverables

  • One written definition per core metric, implemented in the pipeline
  • Automated data quality checks and validation rules
  • Reliable, monitored, documented pipelines
  • Right-sized warehouse or lakehouse architecture
  • Master data: one record per customer, product, and vendor

Best for

Teams that have their assessment and need senior hands to execute without hiring a full-time platform team.

03 From $5,000/mo Retainer or fixed project

Governance & AI-Ready Data Program

Keeps it clean after we leave.

The operating system that keeps the foundation clean — because a cleanup without governance is just a countdown to the next cleanup. Designed for companies without a governance department: hours per month, not new headcount.

Deliverables

  • Named ownership and a lightweight stewardship model
  • Data quality monitoring with alerting
  • Access, privacy, and compliance controls (HIPAA, PCI, SOC 2 as relevant)
  • AI guardrails and lineage so every answer traces to its source

Best for

Companies moving from "we cleaned it up" to "it stays clean" — especially before putting AI in front of customers or executives.

04 From $8,000/mo Monthly retainer

Fractional Data Leadership

The retainer.

Ongoing senior counsel for companies that need data leadership but can't yet justify a full-time head of data. A set number of days per month, and a senior person in the room when the board asks about AI.

Deliverables

  • Architecture and build decisions
  • Vendor and tool evaluation, tool-agnostic
  • Hiring support and team mentoring
  • Roadmap ownership and board-ready updates

Best for

The $50M–$300M company between "IT manages the database" and a real data organization.

What we're not

  • Not an AI development shop. We don't build the chatbot; we make the chatbot trustworthy.
  • Not a tool reseller. No vendor kickbacks shaping recommendations. Tool-agnostic, always — and we'll often recommend using less.
  • Not a body shop. Senior practitioners only. You get the person whose name is on the door, not a bench of juniors billed as seniors.
  • Not a "digital transformation" firm. No two-year roadmaps that die in a slide deck.

Before you build AI, clean the core.

If the board is asking about your AI strategy and the honest answer involves the words "our data is a mess," start with an assessment. It turns "it's a mess" into "here are the gaps, in priority order, with costs."

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