Applied Research Platform
MARY
Multi-Agent Reasoning for You
What MARY Is
MARY is ClarityX's internal applied research system—a multi-agent reasoning platform developed to explore and demonstrate our research ideas in practice.
It coordinates specialized analytical agents across macro analysis, risk assessment, portfolio construction, manager evaluation, and long-term capital planning. Together, these agents reason through complex investment problems that span multiple domains.
MARY is not a commercial product. It exists to operationalize ClarityX's research program and allow serious users to explore AI-augmented investment reasoning.
How MARY Reasons
MARY uses forward-looking analysis across multiple predictive and scenario-based models. Unlike single-model forecasting systems, MARY combines probabilistic reasoning with structured scenario analysis.
What MARY does:
- Multi-agent reasoning across macro, risk, portfolios, managers, and long-term capital
- Automates analytical workflows when users don't yet know what to analyze next
- Surfaces blind spots, second-order effects, and decision trade-offs
- Anticipates what analysis is needed before the user asks
- Keeps human judgment and accountability at the center
What MARY is not:
- Not a single-model forecasting oracle or "crystal ball"
- Not blind automation that removes human oversight
- Not a black-box system without explainability
- Not a replacement for fiduciary judgment and accountability
Research Integration
MARY embodies ClarityX's research themes in working systems. Each analytical capability connects to our broader intellectual program:
Explore the Platform
[Platform access placeholder: Entry point for users to explore MARY. This may link to the main investment-assistant dashboard or a dedicated exploration environment.]
Platform Access
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For a deeper discussion of the problem MARY is designed to address, see: Why Investment Decisions Fail Under Uncertainty