#Game Theory

Show HN: Mediator.ai – Using Nash bargaining and LLMs to systematize fairness

Mediator.ai combines Nash bargaining theory with LLMs to algorithmically generate fair negotiation outcomes in cooperative disputes, demonstrated through a bakery co-founder equity conflict where the system produced a creative 60/40 split solution neither party had proposed. The technology automates what traditionally requires expensive mediators or lawyers by scoring multiple candidate agreements against both parties' private statements until finding an optimal, mutually acceptable solution. For IT organizations, this represents an emerging category of AI applications that can systematize high-stakes business decisions like M&A negotiations, vendor contracts, partnership agreements, and internal resource allocation disputes.