Built for businesses that treat cash as a decision, not an afterthought
Every feature in Aurelia exists to answer one question: what does the data say before capital moves. Below is a detailed look at how each part of the platform supports that.
Platform At A Glance
Feature availability may vary by configuration and data source.
What Aurelia actually does
Each capability below is designed to reduce guesswork when analysing liquid capital positions and testing decisions before capital is committed.
Automated Data Ingestion
Connect existing data sources once, and Aurelia continuously pulls in updated figures without manual re-entry. Benefit: analysis stays current without adding administrative overhead to your team.
Historical Backtesting Engine
Run a proposed allocation or strategy against historical data sets to see how it would have performed under past conditions. Benefit: surface assumptions and weaknesses before they affect live capital.
Scenario Comparison
Model multiple scenarios side by side — different time horizons, allocations, or market conditions — using a consistent methodology. Benefit: compare options on equal footing instead of relying on separate spreadsheets.
AI-Assisted Pattern Review
The platform highlights patterns and correlations in the underlying data that may otherwise take significant manual effort to identify. Benefit: faster first-pass review, with final interpretation left to your team.
Structured Reporting
Analysis outputs are organised into clear, exportable reports rather than raw data dumps. Benefit: easier to circulate findings internally or attach to a decision-making process.
Configurable Data Views
Filter and adjust the level of detail shown, from summary-level figures to granular breakdowns. Benefit: the same underlying data serves both a quick check and a deeper review.
Audit-Friendly Logs
Backtests and analysis runs are recorded with the inputs and parameters used. Benefit: it's straightforward to revisit why a particular output was produced.
Independent Analysis Layer
Aurelia operates as a decision-support layer alongside your existing systems, rather than replacing them. Benefit: adopt at your own pace without disrupting current workflows.
One workflow, from raw data to a reviewable output
Aurelia is structured around a simple sequence: ingest data, run it through consistent models, and present results in a format your team can actually act on. Nothing about the process is designed to replace judgement — it's designed to inform it.
- Data is connected once and refreshed automatically going forward.
- Backtests can be re-run with adjusted parameters at any time.
- Outputs are structured consistently, so results are comparable over time.
How teams typically use these features
Connect
Link your existing data source so Aurelia has an accurate, current baseline to work from.
Configure
Set the parameters relevant to your business — time horizons, allocation constraints, and comparison scenarios.
Backtest
Run the configured scenario against historical data to see how it would have behaved.
Review
Export a structured report and use it as one input into your team's own decision-making process.
Feature coverage by use case
A general view of which features tend to matter most depending on how your business approaches liquid capital.
| Use Case | Primary Feature | Supporting Feature | Typical Output |
|---|---|---|---|
| Reviewing a proposed allocation | Backtesting Engine | Scenario Comparison | Comparative report |
| Ongoing capital monitoring | Automated Data Ingestion | Configurable Data Views | Recurring summary |
| Internal decision review | Structured Reporting | Audit-Friendly Logs | Exportable document |
| Exploring multiple strategies | Scenario Comparison | AI-Assisted Pattern Review | Side-by-side analysis |
See these features against your own data
The clearest way to evaluate Aurelia is with a real data source connected. Get started and review the output for yourself.
Connect Data Source