Standd is an autonomous portfolio intelligence platform built for private credit and private equity investment firms. It continuously monitors macro, market, and company-level signals across a portfolio using proprietary predictive models — rather than large language models — to surface risk indicators ahead of their appearance in financial reporting.
Key features and functions include:
Continuous Portfolio Monitoring
Autonomous agents operate across a firm's portfolio without requiring manual prompting, tracking signals such as covenant stress, revenue anomalies, collections pressure, and potential acquisition windows. Alerts are generated in real time as conditions change.
Predictive Risk Modeling
Standd's models are built to identify cause-and-effect relationships and simulate forward-looking scenarios, rather than summarizing historical data. The underlying methodology draws on proprietary research and was developed in collaboration with scientists formerly at the U.S. Department of Defense.
Scenario Modeling and Strategy Testing
The platform supports dynamic scenario modeling, allowing investment teams to test strategy assumptions and simulate how positions may evolve before committing to decisions. Custom reporting is generated to support internal investment committee review.
Cumulative Knowledge Building
Standd builds a compounding knowledge base over time, incorporating a firm's investment thesis, position history, and market perspective. The system learns continuously and autonomously, without requiring manual updates from users.
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