Essor Luxent applies statistical models and real-time market data to idle business cash, quantifying risk exposure and surfacing allocation options — reviewed by you at every step, with no minimum balance required to begin.
Most SMB operating accounts hold cash that exceeds short-term obligations by a wide margin. This surplus typically earns no return while sitting in a current account. Essor Luxent treats this surplus as a distinct dataset, separate from operating funds required for payroll or supplier payments.
The system forecasts your near-term liquidity requirement using historical transaction patterns, then cross-references available market instruments for risk-adjusted placement. Every recommendation includes a stated confidence interval, not a fixed guarantee.
Each function operates on the same underlying dataset, updated continuously rather than on a periodic reporting cycle.
Exposure across held positions is recalculated as market data updates, not on a fixed monthly review. Thresholds you set trigger automatic flags for manual review before any change is executed.
Cash-flow forecasts are built from your transaction history and adjusted for seasonal variation. The model outputs a probable liquidity range for the coming 30, 60, and 90 days, with stated error margins.
Surplus cash identified above your buffer is distributed across pre-approved instrument categories according to a rule set you configure. No allocation exceeds your defined risk ceiling without explicit confirmation.
Confidence in an automated recommendation should be earned through visible process, not asserted through marketing language.
Market data is drawn from regulated exchange feeds and licensed financial data providers. Internal cash-flow data comes exclusively from the accounts you connect, with no third-party enrichment.
Forecasting models are back-tested against historical periods before deployment and re-validated on a quarterly basis. Deviations beyond stated error margins trigger a manual model review.
Account connections use read-only, tokenized access. Data at rest is encrypted, and allocation execution requires a separate, explicit authorization step distinct from data access.
These address the points most frequently raised by finance leads before onboarding.
No. The allocation engine generates proposals only. Execution requires a separate confirmation step, and any recommendation outside your configured risk band is flagged rather than acted upon.
Forecasts include a stated margin of error rather than a single fixed figure. The 30-day buffer is set conservatively above the model's lower bound, reducing the practical impact of forecast deviation on daily operations.
Exposure is calculated per position using volatility and correlation data updated in real time. A composite score is shown against your predefined ceiling, and any breach is surfaced immediately for review.
Transaction data connected to your account is used to generate your own forecasts. It is not pooled into a shared training set that informs recommendations for other accounts.
You are. The platform provides analysis and proposals; final authorization for any allocation rests with the account holder at every step.
Further technical questions can be directed to our documentation or raised via the contact details listed here.
Setup takes account connection and a short parameter review. No deposit is required to see the initial analysis.