FinHealthMinds is building a bias-controlled decision-intelligence infrastructure for financial providers to deliver safer, fairer and more compliant digital financial guidance. By combining behavioural finance, financial literacy measurement, advanced ML-models and simulation-driven decision support, we create a measurable learning-to-decision system that helps consumers take better financial decisions and gives financial providers auditable evidence to act on them.
From micro-learning to an auditable decision.
Designed for the rules that govern digital finance.
One stack from data to a deployed model.
Understand your financial literacy & decision strengths and follow a personalised micro-learning journey that adapts as you progress.
Support your consumers with evidence-grade trials and ability-matched assessment, so financial guidance is measurable, comparable and ready for audit.
Decision-intelligence infrastructure where causal evidence, financial literacy, bias validation and model risk are built in together — a reference runtime designed for EU prudential and AI regulation.
A white-label learning-to-decision runtime: financial literacy & behaviour decision strengths measurement, RCT instrumentation and bias-controlled models you can validate, audit and deploy.
