CoreTechitect
Data architecture · Analytics · Applied AI

One platform. Every number your company trusts.

CoreTechitect designs and builds modern data warehouses for organizations that have outgrown spreadsheets, dashboards no one trusts, and pipelines held together by one person's memory. Architecture first — then analytics and AI that hold up under scrutiny, not just in a demo.

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Reports ready in hours, not weeks
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Single source of truth across dashboards, reports, and AI
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Trusted analytics live before the quarter ends
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Your data, your infrastructure, your decisions

What we are engaged to do

Four practices, one engagement. Most clients begin with the platform and expand into the rest as the foundation proves out.

01 — Platform

Trusted, governed data platform

Cloud-native warehouse architecture with a transformation layer on top — modeled, governed, and defined once so every team reads the same numbers.

  • Governance, lineage, access control
  • Ingestion, ELT, and dbt transformation
  • Dimensional and semantic modeling
  • Executive and operational reporting
02 — Science

Data science & applied AI

Forecasting, segmentation, and agentic AI systems in production — grounded in the same governed platform, not a side pipeline nobody trusts.

  • Demand and revenue forecasting
  • Churn and propensity modeling
  • Agentic workflows and AI automation
  • Production ML deployment
03 — Reliability

Data reconciliation & monitoring

Continuous reconciliation between source systems and the warehouse — plus monitoring that flags a broken pipeline or a drifted number before it reaches a board deck, not after.

  • Source-to-target reconciliation
  • Pipeline and data-quality monitoring
  • Anomaly and freshness alerting
  • Incident runbooks and on-call response
04 — Advisory

Fractional data leadership

Senior judgment on retainer — roadmap, platform decisions, and hiring — without carrying a full-time executive.

  • Data strategy and roadmap
  • Platform and vendor selection
  • Team design and hiring
Engagement method

Architecture before dashboards. Always.

Phase 01 · Weeks 1–2

Audit

We map every source, every recurring report, and every place a number is manually adjusted. You receive a written assessment whether or not the engagement continues.

Phase 02 · Weeks 3–8

Build

Warehouse, pipelines, and the modeling layer — delivered in two-week increments against the metrics leadership already asks for.

Phase 03 · Ongoing

Transfer

Documentation, runbooks, and training for your team. The objective is a stack your people can operate without us — and a standing line when they would rather not.

In practice

“We stopped guessing. Six weeks in, the leadership team was reading the same numbers off the same system for the first time since we founded the company.”

Operating partner · consumer nutrition brand

Manual reporting hours per week22 → 2
Time to define a new metric3 wks → 1 day
Disputed figures in board decksNone
Stack ownership100% client

Start with the audit.

A 45-minute conversation and a written assessment of your data estate. No obligation to build with us afterward.

We reply within one business day.