Optimising wealth between projects
Stakeworth Group applies AI-powered predictive analytics to keep freelance capital working through every gap in contract income, targeting risk-adjusted growth rather than idle cash.
Stakeworth Group applies AI-powered predictive analytics to keep freelance capital working through every gap in contract income, targeting risk-adjusted growth rather than idle cash.
Freelance and contract income rarely arrives on a fixed schedule. Between projects, cash tends to sit in low-yield current accounts, waiting for the next invoice rather than generating a return. Over a year, that idle period can account for a significant share of total working capital.
Stakeworth Group ingests real-time market and liquidity data to assess, on a daily basis, whether capital should remain accessible or be allocated toward risk-adjusted growth instruments. The result is a system that responds to actual cash-flow patterns rather than generic savings advice.
Capital is reassessed daily, not reviewed quarterly.
Every allocation suggestion is generated from a defined process, not a single algorithmic score. Each of the following operates continuously in the background.
Models are trained on historical and live market data to estimate short-term volatility, informing when capital should be held liquid versus deployed into growth-oriented positions.
Recommendations are weighted against each user's declared liquidity needs, so a freelancer with an upcoming equipment purchase is treated differently from one building a long-term reserve.
As a user's income and spending history accumulates, the underlying data profile grows and recommendations are recalibrated, becoming more specific without requiring manual input.
Every recommendation can be traced back through three defined stages. Nothing is presented without an underlying data trail a user can review.
Connected account activity, market feeds, and declared liquidity preferences are pulled into the platform continuously, forming the raw input for each day's analysis.
Predictive models assess volatility, liquidity timing, and risk tolerance together, producing a ranked set of allocation options rather than a single fixed instruction.
A report is issued each day, showing current allocation, performance against benchmark, and the data points that informed any change in recommendation.
The platform is configured around how income actually arrives, not a generic risk profile. Select a scenario below.
For freelancers between contracts, the system prioritises liquidity, allocating capital to instruments that can be accessed within days while still earning a return above a standard current account. Allocation is reduced automatically if a gap extends beyond the expected window.
Where a user indicates a future capital need, such as replacing equipment or funding a quiet period in 12 to 18 months, the platform builds a dedicated reserve, balancing growth against the fixed timeline until the funds are required.
For contractors reliant on a small number of clients, the platform adjusts recommended exposure to reduce correlation with sector-specific downturns, aiming to offset income concentration rather than amplify it.
Recommendations are reviewed and reported daily, and every allocation can be traced back to the data that produced it. No projected returns are promised; each report reflects actual performance to date.
Start Your AnalysisIntegrates with existing UK business current accounts; no change of bank required to begin.