Limpede Socotinta brings together your financial data and market information, then uses predictive modelling to show how different decisions might affect your long-term security. Every recommendation is traceable back to the data behind it.
Pensions, savings accounts, investment platforms and mortgage statements each tell part of the story. Taken together, they rarely form a clear picture of whether you are on track for the future you want. The result is often delay: decisions about retirement, education funding or investment risk get postponed because the information feels too fragmented to act on with confidence.
Rather than producing one fixed number, the model estimates a plausible range of outcomes for goals such as retirement income or a child's education fund, based on historical patterns and your current holdings. This helps you see how sensitive your plans are to market movement, before it affects your decisions.
Account balances, contributions and market values are refreshed continuously, so your forecasts reflect current conditions rather than a snapshot from your last review. You can see immediately how a market shift changes your long-term outlook, without waiting for a quarterly statement.
Recommendations are generated from your specific goals, time horizon and risk tolerance, and each one is accompanied by the data and reasoning behind it. The platform is built to support your judgement with evidence, not to replace it.
Limpede Socotinta was created to give middle-income families and retail investors the same calibre of analysis previously reserved for professional portfolios, delivered in plain language. The platform combines data aggregation, predictive modelling and continuous monitoring into a single view, with every output explained in terms of the underlying data.
We work on the principle that financial confidence comes from clarity, not complexity, and that long-term security is built through informed, steady decisions rather than reactive ones.
Forecast accuracy and model performance are logged over time and made available for members to review, rather than summarised selectively. The aim is to let you judge the tool by its track record, not only by its description.
Illustrative representation of forecast variance against actual outcomes across six review periods. Figures shown are for demonstration of format only.
Members can compare their own forecast history against actual outcomes within their account, and aggregate, anonymised performance patterns are published for the wider community to review. This is intended to support scrutiny of the model, rather than ask you to take its accuracy on trust.
Historical performance logs relate to past forecasting accuracy and do not guarantee future results. All figures are reviewed on a rolling basis as new data becomes available.
Your accounts, pensions and investment holdings are connected securely and consolidated into a single, consistent record, removing the need to reconcile figures across separate providers.
The model reviews this consolidated data against historical market behaviour and your stated goals, identifying where risk is concentrated and where your plans are most exposed to change.
Based on that analysis, the platform suggests adjustments aimed at reducing unnecessary risk or improving the likelihood of reaching your goals, with the supporting reasoning shown alongside each suggestion.
For households managing several goals at once, such as retirement income and a child's education costs, the platform models how contributions, time horizon and market conditions interact across each goal. This makes it easier to see trade-offs, for example whether increasing a pension contribution now could affect a shorter-term savings target, before a decision is made rather than after.
For investors holding a mix of funds, shares or pensions, the platform assesses how concentrated your risk is across providers and asset types, which is often difficult to see when holdings sit in separate accounts. Recommendations focus on reducing unintended concentration, with the underlying data shown so you can verify the reasoning yourself.
Account connections use encrypted, read-only access wherever supported by your provider, meaning Limpede Socotinta can view balances and transactions but cannot move funds. Data is encrypted both in transit and at rest, and access within the platform is limited to what is needed to generate your analysis.
The underlying models are reviewed on a rolling basis as new market data and forecast outcomes become available. Updates are logged within the transparency log, so you can see when a change was made and how it affected subsequent forecasts.
Pricing details are set out clearly before you create an account, with no figures hidden behind a sales call. If your circumstances mean a particular plan is not suitable, this is explained during the initial walkthrough rather than left for you to discover later.
A walkthrough takes you through how your accounts would be aggregated, what a forecast would look like for your goals, and how the transparency log works. There is no obligation to proceed afterwards.
Request a walkthroughNo commitment is required to book a walkthrough, and your data is never shared with third parties for marketing purposes.