Savrix Povel analyses your cash position and market conditions in real time, then adjusts its recommendations as your risk tolerance changes. You stay in control; the model does the recalculation.
Savrix Povel builds a continuously updated model of your business's cash flow, then runs it against live market and sector data. Each recommendation reflects predictive modelling of risk-adjusted return, not a fixed template.
As conditions shift, the engine performs real-time risk adjustment rather than waiting for a quarterly review. The result is a set of options sized to what your business can actually tolerate.
Your risk thresholds are learned from stated preferences and observed decisions, then applied consistently across every recommendation.
The model draws on cross-sector data, so its assessments are not confined to patterns from a single industry.
Capital is matched to time horizons, keeping a defined portion accessible while the remainder is deployed for return.
Every recommendation is traceable to a defined sequence of steps. There is no black box between your data and the output you see.
Cash position, payment cycles, and reserve requirements are pulled into the model, along with relevant market and sector signals.
The engine scores opportunities against your stated risk thresholds, weighting liquidity needs and volatility tolerance learned from your usage.
You review a ranked set of options with confidence scores attached, then confirm or adjust before anything is deployed.
The dashboard caption reads plainly: current exposure, projected return range, and the risk delta against your defined threshold. No scrolling through raw spreadsheets to find the number that matters.
It combines your stated risk tolerance with observed decisions over time, then scores each opportunity against that profile. The weighting adjusts as your behaviour or circumstances change, rather than staying fixed from onboarding.
Yes. Every recommendation requires your confirmation before execution. You can adjust the proposed allocation, decline it, or set stricter limits that the model will respect going forward.
The engine re-runs its analysis on new data as it arrives and flags material changes in risk delta. You are notified rather than having a position adjusted without your input.
Your account-level data informs your own profile only. Broader market and sector models are built from aggregated, non-identifying data sources.
The platform is built for businesses with idle reserves in the region of £50,000 to £1,000,000, though the analysis itself scales to the amount you choose to allocate.
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