Alternative investments—private equity, hedge funds, real estate, commodities, and structured products—offer portfolio diversification but come with unique analytical challenges. Unlike traditional stocks and bonds, these investments often lack transparent pricing, have complex fee structures, and require sophisticated risk assessment.
Sourcetable transforms alternative investment analysis from a tedious spreadsheet exercise into an intelligent, automated process. Our AI-powered platform handles the heavy lifting while you focus on making strategic investment decisions.
Connect multiple data sources—fund reports, market data, and performance metrics—into a single analytical workspace.
Automatically calculate VaR, stress testing scenarios, and correlation analysis across your alternative investment portfolio.
Monitor IRR, MOIC, and other alternative investment metrics with dynamic dashboards that update as new data arrives.
Build what-if scenarios for different market conditions, exit strategies, and capital deployment schedules.
Automatically calculate the impact of management fees, carried interest, and performance fees on net returns.
Generate institutional-grade reports that meet regulatory requirements and investor reporting standards.
See how finance professionals use Sourcetable to make better alternative investment decisions:
A family office manages 15 private equity funds across different vintages and sectors. They use Sourcetable to track capital calls, distributions, and NAV changes, automatically calculating J-curve effects and vintage year performance comparisons. The AI identifies underperforming investments and suggests rebalancing opportunities.
An investment firm evaluates commercial real estate opportunities across multiple markets. Sourcetable integrates property data, market comps, and financing options to calculate cap rates, cash-on-cash returns, and IRR projections. Scenario analysis shows how different exit strategies impact overall returns.
An institutional investor screens 50+ hedge fund strategies quarterly. Sourcetable automates the analysis of return streams, drawdown periods, and risk-adjusted performance metrics. The platform flags funds with unusual return patterns and generates comparative analysis reports.
A pension fund with significant commodity exposure uses Sourcetable to model hedging strategies. The system analyzes correlations between physical assets and futures contracts, optimizing hedge ratios and timing. AI-powered alerts notify managers of significant basis risk changes.
A wealth management firm evaluates direct lending opportunities and structured credit products. Sourcetable models credit risk, loss scenarios, and yield comparisons across different structures. The platform automatically updates analysis as market conditions change.
Import data from fund administrators, prime brokers, property management systems, and market data providers. Sourcetable automatically maps fields and validates data quality, eliminating manual data entry errors.
Our AI analyzes your alternative investment data, calculating key metrics like IRR, MOIC, DPI, and RVPI automatically. The system identifies patterns, outliers, and performance trends across your entire portfolio.
Access real-time dashboards showing portfolio performance, allocation analysis, and risk metrics. Drill down into individual investments or view portfolio-level summaries with institutional-grade visualizations.
Run Monte Carlo simulations, stress tests, and scenario analysis to understand potential outcomes. The AI suggests optimal allocation strategies based on your risk tolerance and return objectives.
Consider analyzing a $500M private equity fund with a 10-year investment period. Traditional analysis requires tracking dozens of portfolio companies, multiple capital calls, and complex waterfalls. With Sourcetable:
Analyzing a diversified REIT portfolio across office, retail, and industrial properties requires complex calculations. Sourcetable streamlines this by:
When evaluating a long/short equity hedge fund, traditional analysis focuses on returns but misses crucial risk factors. Sourcetable provides comprehensive analysis including:
Sourcetable uses multiple valuation methodologies including comparable company analysis, discounted cash flow models, and market-based approaches. The AI automatically adjusts for liquidity discounts and applies appropriate valuation multiples based on industry benchmarks and market conditions.
Yes, Sourcetable handles investments that report monthly, quarterly, or annually. The system interpolates data points when necessary and clearly indicates estimated versus actual values. You can set up automated data collection schedules that match each investment's reporting cycle.
Our AI models are trained on decades of alternative investment data and continuously updated with market conditions. While no model is perfect, our risk assessments typically show 85-90% accuracy in identifying potential issues. We always recommend combining AI insights with human judgment for final investment decisions.
Sourcetable connects with major fund administrators, prime brokers, custodians, and market data providers. We support direct API integrations, file uploads (Excel, CSV, PDF), and automated email parsing. Our team can help set up custom integrations for proprietary data sources.
Sourcetable automatically calculates management fees, performance fees, carried interest, and other charges based on each investment's specific terms. The system handles high-water marks, hurdle rates, and catch-up provisions. You can model different fee scenarios to understand their impact on net returns.
Yes, Sourcetable generates reports that meet various regulatory requirements including Form ADV, AIFMD, and institutional reporting standards. Reports are automatically formatted and can be customized for different stakeholder needs. The system maintains an audit trail of all calculations and assumptions.
If you question is not covered here, you can contact our team.
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