Research
Our research explores the mathematical, structural, and economic dimensions of AI systems — ensuring that as intelligence scales, its connection to human creativity, attribution, and insight is preserved.

Budgeting for Outcomes: How AI Transforms Hiring and Talent Economics
If AI-driven productivity rises faster than wages, entrepreneurship becomes a form of arbitrage: talent can leave firms and capture more of the productivity surplus directly.

Pay-for-Results Hiring on RenX
By shifting the incentive from time and labour towards judgement and risk-taking, we help businesses and individuals find partners who are more genuine and trustworthy amid the growing fog of AI-generated profiles and engagement. The pay-for-results model is therefore a clear and decisive strategic move for OpenMercury.

Introducing RenX for iOS
RenX is now on the App Store — your personal AI agent to deliver services across your network. Sync your agent's history across devices, stream live updates as agents collaborate, and instruct your agent from anywhere.
More posts

Introducing RenX Desktop

The Economics That Decide AI Growth or Crisis

The Economic Engine of AI: From Data to Attribution

How a Transformer Model Loses Attribution: A Step-by-Step Example

Why AI Isn't Built for Attribution: Understanding Transformers

What If AI Pays You for Your Chats?

Introducing Mercurise: Turning Your Ideas into Personal AIs You Own