For investors who want to understand their true portfolio structure, uncover concentration risk, and make better allocation decisions.

Expose analyzes your portfolio by breaking down ETFs into underlying holdings, calculating true exposure by asset, sector, market cap, and region, and simulating rebalancing scenarios with AI-assisted workflow automation.

Most portfolio tools stop at ETF-level allocation. Expose looks through ETFs to reveal your real asset exposure, so you can make allocation decisions with better transparency. Expose is open source and licensed under GNU AGPL v3.0 (AGPL-3.0-or-later), so anyone can use it, inspect the code, and contribute improvements under the same license terms.

• ETF look-through analysis into underlying holdings
• True exposure calculation across overlapping assets
• Rebalancing simulations with configurable scenarios
• Allocation planning and "what-if" portfolio comparisons
• AI-assisted insights for interpretation and decision support
• Reactive notifications when defined market or portfolio conditions are met
• Workflow automation that can execute actions when specific signals are encountered

Expose is designed to support event-driven workflow automation for portfolio operations.

Conceptually:

Signal/Event -> Condition Evaluation -> Action -> Outcome

Examples of automation use cases:

• Notify when asset, sector, or geographic exposure exceeds a target threshold
• Trigger rebalancing review workflows after allocation drift is detected
• Run predefined actions when selected portfolio signals appear

Early-stage development. Core backend, frontend, and AI service foundations are being set up.