The analytical tools behind every Pervensham recommendation
From data ingestion to backtested scenario modelling, every feature is designed to support considered decisions rather than produce speculative predictions.
Built around structured, repeatable analysis
Each capability below addresses a distinct stage of the research process, from raw data through to a documented view that you can review and challenge.
Data Aggregation
Pulls together structured financial and market data from multiple sources into a single, consistently formatted dataset, reducing manual collation work.
Backtested Modelling
Scenario models are tested against historical data before being made available, so you can see how an approach would have behaved previously.
Risk Flagging
Highlights where a scenario carries higher sensitivity to assumptions, prompting closer review rather than presenting a single confident figure.
Comparative Views
Allows two or more scenarios to be placed side by side, making trade-offs easier to see than when each option is reviewed in isolation.
Assumption Transparency
Every output is linked back to the inputs and assumptions used to generate it, so you can trace where a figure came from.
Exportable Reports
Summaries can be exported for your own records or for discussion with an accountant, adviser, or business partner.
Models designed to be questioned, not just accepted
We built Pervensham around the idea that a useful analysis tool should show its working. Rather than returning a single answer, the platform presents the assumptions behind a scenario, how it performed historically, and where it is most sensitive to change.
This structure is intended to support your own judgement, not replace it. You remain responsible for any decision made using the output.
Scenario views are updated as underlying data changes, so comparisons reflect the most recent information available to the platform.
From raw data to a reviewable scenario
Three stages sit behind every output you see in the platform.
Input & Structuring
Relevant data is collected and organised into a consistent format so that different scenarios can be compared on equal terms.
Backtesting
Each scenario model is run against historical data to check how it would have performed, with results documented alongside the output.
Presentation & Review
Findings are presented with their assumptions and sensitivities visible, ready for you to review, question, or discuss with others.
Where these features are typically used
Comparing how a proposed allocation would have behaved across different historical periods before committing capital.
Testing the sensitivity of a growth plan to changes in cost, revenue, or timing assumptions before finalising a budget.
Placing alternative strategies side by side to understand their relative risk characteristics rather than relying on a single projection.
Exporting a documented scenario summary to bring into a conversation with an accountant or financial adviser.
Features, explained
Does Pervensham tell me what decision to make?
How current is the data behind each scenario?
Can I export a scenario to share it?
What happens if assumptions change after I've reviewed a scenario?
See these features applied to your own data
Request access to review how Pervensham's analysis tools would apply to a scenario relevant to you.
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