Data Management
AI is only as good as its data. We build the data foundation that makes AI actually work - pipelines, quality, governance, accessibility.
Agent-friendly
AI-ready summary for Data Management
- Data pipelines, quality, governance, and analytics-ready architecture for AI success.
- Enterprise experience across ERP/CRM/LOB systems; on-site Executive AI Immersion available.
- Entry points: Executive Immersion ($10K), Assessment ($35K), Implementation (from $35K/mo).
Key facts
- Focus: Pipelines, quality, governance, MDM, warehouses/lakes, streaming
- Team: Atlanta, GA (100% US-based)
- Engagements: Assessment → Implementation with same lead
What We Build
Data pipelines and ETL processes
Data quality and validation frameworks
Data governance structures
Master data management
Data lake and warehouse architecture
Real-time data streaming
Analytics and reporting infrastructure
Data migration and modernization
Why Data Matters for AI
Every AI failure we've seen traces back to data problems.
Quality In, Quality Out
AI models are only as good as their training data.
Speed Matters
AI needs data when it needs it. Batch jobs don't cut it.
Governance Required
AI with ungoverned data is a liability.
Recent Data Work
ERP Integration & Data Systems (MDSi, Segra)
Startup Data Platform with Multi-System Integration (Climb Analytics, FieldRoutes, ADP, Podium)
This Website - VibeCoded with Claude, Gemini & Codex
Data Problems?
We can help. Let's talk about your data challenges.