Assess idle cash with backtested, AI-assisted strategies
Aurelia analyses your cash position and runs historical simulations before you commit capital. It supports your decisions. It does not replace fiduciary judgement.
Sample model output
Illustrative output from a sample dataset. Not a live account or a return guarantee.
Uninvested cash and manual spreadsheets both carry a cost
Most SME finance teams review cash allocation monthly, at best. Between reviews, capital sits static while conditions shift.
- Cash reserves held in low-yield accounts for convenience, not strategy.
- Spreadsheet models updated too slowly to reflect current risk.
- Limited internal capacity to backtest alternative allocations.
- No consistent method to compare strategies against a benchmark.
Where analysis time typically goes
Illustrative breakdown based on typical SME finance workflows, not a survey result.
How the backtesting engine reaches a recommendation
Four stages run before any output reaches your dashboard. Each stage is logged and can be reviewed.
Data ingestion
Bank feeds, transaction history, and market data are imported and normalised on a consistent schedule.
Predictive modelling
Historical patterns are tested against multiple allocation scenarios under varying market conditions.
Risk adjustment
Outputs are weighted against your stated risk tolerance and liquidity requirements.
Actionable output
A ranked shortlist is presented, with the underlying assumptions shown alongside it.
Backtested returns compared against standard benchmarks
Figures below come from historical simulation on sample portfolios. They illustrate model behaviour, not a live track record.
| Strategy | Risk band | Backtested return | Volatility | Benchmark (cash rate) |
|---|---|---|---|---|
| Short-duration liquidity model | Low | 4.9% | 1.2% | 3.1% |
| Diversified fixed-income blend | Low–Medium | 6.1% | 2.8% | 3.1% |
| Balanced multi-asset model | Medium | 7.4% | 5.6% | 3.1% |
Figures are illustrative outputs from historical backtesting on sample data and do not represent actual client returns. Past performance does not guarantee future results, and all figures exclude fees and tax. Decisions based on this data remain subject to your organisation's fiduciary process.
What the Aurelia assistant does day to day
Real-time monitoring
Cash positions and market signals refresh continuously, so allocation reviews use current data.
Automated rebalancing
When a portfolio drifts outside its set parameters, the system flags it and proposes an adjustment.
Regulatory compliance check
Every recommendation is checked against your configured compliance rules before it is surfaced.
Custom risk parameters
You set liquidity minimums and risk ceilings; the model works within those limits, not around them.
Built for finance teams who need evidence, not forecasts alone
Aurelia was designed around a simple constraint: recommendations need a visible audit trail. Every output can be traced back to the data and assumptions used to produce it.
The platform sits alongside your existing controls. It does not open accounts, move funds, or override sign-off requirements on your behalf.
Questions we get from finance controllers
How is our data secured?
How long does integration take?
Does this affect access to our cash?
Review your cash position before your next allocation decision
Connect a data source to see how Aurelia models your current cash position against backtested alternatives.
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