?lang=enSwitch to English |?lang=zh-CNSwitch to ChineseResearch infrastructure to understand how AI truly transforms the world.
AI is transforming the world. We are building intelligent infrastructure to understand this change.
Issue
Artificial intelligence is entering the real world. But we lack the infrastructure to understand how it happens.
Disperse
AI deployment information is scattered across news articles, reports, papers, and social media without a unified structured record.
Opaque
We don't know which industries, countries, or ways AI is being used.
Unstructured
Existing information cannot be systematically compared, validated, or analyzed.
Unable to verify
Claims about AI effects lack evidence and are difficult to verify.
Hard to compare
AI applications across different countries and industries cannot be meaningfully compared.
Difficult to understand
Policymakers, businesses, and the public lack a foundational understanding of AI's true impact.
AI Applications
AI Application Map: A structured record of global AI deployments.
Deployment of AI Agents in Banking Compliance Processes
AI Features:Agent
Applying AI-Assisted Diagnosis in Rural Clinics
AI Features:Decision Support
Deployment of AI Quality Inspection on Automotive Manufacturing Lines
AI Features:Computer Vision
Using AI Translation Systems in Cross-Border Trade
AI Features:Natural Language Processing
AI Recommendation Algorithms for Personalization in E-Commerce
AI Features:Recommendation System
Deployment of AI-driven predictive maintenance at wind farms
AI Features:Predictive Analytics
Research
From application to knowledge. Global research missions, partners, and methodologies.
How can AI agents integrate into real organizational workflows?
18/30A-AO
What determines whether AI deployment improves or replaces workers?
32/50A-AO
Why do identical AI systems produce different outcomes in different countries?
12/40A-AO
Evidence
Every claim is backed by evidence. Every piece of evidence is verified.
AI agents reduced bank compliance false positives from 95% to 35%.
VerifiedSource:Internal Report for a Major Bank
AI-assisted diagnosis increases diagnostic accuracy in rural clinics by 23%.
VerifiedSource:Collaborative research with India's Ministry of Health
AI-powered quality inspection boosts defect detection rate for automotive parts to 99.7%.
Pending ReviewSource:German Automotive Manufacturer Technical Report
AI translation reduces document processing time by 80% in cross-border trade.
VerifiedSource:US Trade Company Operational Data
A-AO
AI Application Observation — the fundamental unit of our intelligent layer.
What is A-AO?
A-AO (AI Application Observation) is a structured record of AI deployments in the real world. It documents reality, problems, AI technologies, workflow changes, human impact, resources, and outcomes.
reality
Issue
Artificial Intelligence
Workflow
humans
Resources
Results
Evidence
Discover
Knowledge derived from evidence. Patterns, correlations, and insights.
Human-in-the-Loop in AI Deployment
In 87% of successful cases, AI did not fully replace humans but instead created new human-AI collaborative workflows.
AI Performance Gap: Developed vs. Developing Nations
AI systems achieve 23% higher success rates in developed countries compared to developing nations, primarily due to differences in infrastructure and data quality.
Top 5 Reasons Why AI Projects Fail
Poor data quality (34%), organizational resistance (22%), unclear requirements (18%), incorrect technology selection (15%), regulatory barriers (11%).
100 researchers. A global research infrastructure.
The founding 100 team is the initial research group that co-built this intelligent layer.
47
Current Research Partners
47/100
23
Overwrite Country
12
Subject Area
Future
Build an intelligent layer for the AI application economy.
We are building the infrastructure to understand how AI truly transforms the world.
Not from hype. Not from fear. From evidence.
Join us.