CardanLabs Research
We track the collision of AI, Economics, and Systems Engineering.
Featured Report
The State of AI Architecture 2026: Why 95% of Pilots Fail
Our latest market analysis confirms a critical bifurcation: The market isn't failing at AI. It's failing at Data Architecture.
95%
Failure Rate
73%
Data Blocked
40%
Trust Gap
Executive Findings:
- 01.The "Tool Vendor" Trap: Selling agents without fixing the underlying data mess is the #1 cause of budget waste.
- 02.The "GenAI Divide": Only 5% of companies are extracting value; they are the ones with unified Digital Spines.
- 03.Agentic Failure: 40% of users distrust AI tools due to "hallucinations" caused by fragmented data silos.
Previous Intelligence
đź“Š
Strategic Analysis
The "Blue Ocean" of AI Audit
Strategic pivot analysis: Why most competitors frame AI as "Innovation" (risky), while CardanLabs frames it as "Sanitation" (essential).
Read Restricted Brief →⚙️
Technical Paper
Agentic Feed Architecture
Technical implementation guide for "AEO" (AI Engine Optimization) using JSON-LD and Agentic Context files.
Read Technical Note →