Ancient Labs
AI Data Readiness StudioAI didn't fail you. The foundations weren't ready.
Ancient Labs builds the data foundations required to run one reliable, ROI-positive AI use case in production — typically within 90 days.
- We bring fragmented data into a single, usable context so AI can operate correctly.
- We establish clear ownership, lineage, and structure so outputs can be trusted and audited.
- We turn stalled AI pilots into production systems by fixing the data underneath them.
Data before AI
Reliable AI starts with owned, well-modeled data. Models and prompts only work when the underlying data is clear, consistent, and trusted.
Narrow scope wins
Most AI initiatives fail by attempting too much at once. We focus on one outcome, one data surface, and one use case—until it runs in production.
Production over pilots
If it can't be measured, audited, and owned, it isn't finished. We build systems that survive real users and real accountability.
What we do
AI data readiness — not generic AI consulting.
We fix the data and operational foundations that make AI usable. Then we ship one production AI use case tied to a real KPI.
AI-Ready Data Foundations
A clean, mapped data layer that connects the systems that matter — analytics, CRM, operations, and feedback — structured for reporting and LLM/RAG.
Readiness Scoring & Direction
We assess coverage, structure, and ownership gaps, then define exactly which AI use case is worth building — and which are not.
Pilot Recovery & Hardening
If an AI pilot stalled, we identify the failure point, repair the data foundations, and relaunch a single workflow into production.