Analytics
Analysis of investment assets, portfolios, and structures, as they actually exist in real investment operations.
To better support our institutional clients' risk management & underwriting, Jexium has extended traditional advisory into a structured analytical layer. We use our proprietary fractal data architecture to model complex assets, projects, platforms, and portfolios as interconnected systems with any number of branches and nested levels of data. This allows readiness, risks, and value drivers to be understood not only at the level of indicidual real and financial assets, but how they roll up, interact, and propagate across a portfolio, program or sponsored platform up to the level of a parent fund, investment strategy or investment product.
Platform and fund structures
The approach is particularly effective for multi-layered ownership structures, such as sponsored platforms and infrastructure or other alternative asset funds where multiple assets are developed, acquired, and operated under a single capital structure.
- Mapping of GPs, LPs, co-investors, lenders, funds, platforms, and underlying investees / assets in a single navigable structure.
- Clarity on capital flows, governance layers, and operational responsibilities.
- Support for fund and platform investment transactions and ongoing portfolio management at fund level.
Acquisitions, asset sales, and investment underwriting
Individual investment opportunities can be modelled and assessed as structured entities within any wider contexts such as co-investors, sponsors, platforms, offtakers, vendors, EPCs, other assets, etc.. This enables a consistent and scalable view of how a possible new acquisition or investment would fit within a portfolio or platform, both operationally and financially.
- Rapid structuring of new opportunities in a form comparable with existing assets.
- Quantification and assessment of incremental risk, concentration, and dependency effects.
- Clear articulation of investment cases for internal ICs and external capital providers.
Portfolio construction and management
Our data structure scales naturally to portfolios of assets, loans, or equity positions. Each component retains its own detail while contributing to a coherent portfolio-level view.
- Construction of private credit, private equity, real assets, securities and futures & options portfolios with consistent data structures.
- Aggregation of financial and non-financial risks, mitigations and other characteristics across holdings.
- Easy navigation between portfolio, platform, and asset levels without loss of detail, context or provenance of data.
Risk assessment and decision support
Risks are rarely contained or exist in isolation. Our fractal data architecture allows individual risks to be flagged at the asset level, tagged for resolution, monitored and traced, and observed as they propagate upward and outward into the aggregated platform and portfolio structures.
- Integrated assessment of technical, financial, governance, and sustainability risks.
- Clear identification of where risks accumulate and interact.
- Visibility of dependencies and potential points of failure across structures.
- Support for institutional decision-making with transparent, traceable, objective, and evidence-linked outputs.
Valuation and secondaries transaction support
By combining structured data with real-world context, the model supports valuation exercises and transaction processes in a disciplined and auditable manner.
- Risk-adjusted valuation perspectives at asset and portfolio levels.
- Structured support for pricing discussions and negotiations.
- Alignment of analytical outputs with diligence materials and investor expectations.
In practice: analytical modelling is not a separate exercise. It is integrated with structuring, readiness, and diligence, so that analysis and execution proceed together, rather than as unco-ordinated separate, sequential exercises.” Contact.