Wolksat Capital applies predictive analytics to your project cycles, learning how much liquidity you need between contracts and how much surplus can work toward longer-term reserves.
Project-based work produces uneven cash flow: strong months followed by gaps, delayed invoices, and unpredictable tax obligations. Manual budgeting can smooth some of this, but it reacts to the past rather than anticipating what comes next.
Wolksat Capital approaches the problem differently. Instead of applying a fixed savings rule, its models observe the timing and size of incoming payments and adjust reserve targets and allocation pace as new data arrives.
| Approach | Behaviour |
|---|---|
| Fixed manual budget | Static rules, updated only when reviewed |
| Wolksat Capital model | Recalculated continuously as project data changes |
Each function operates on the same underlying dataset — your invoicing history, reserve levels, and stated preferences — but serves a distinct purpose in the decision process.
The model reviews historical payment intervals and contract sizes to estimate upcoming income gaps before they occur, rather than flagging them after the fact.
Your risk tolerance is not set once. The engine recalibrates it gradually based on how you respond to past recommendations and how your income stability changes over time.
Allocation between liquid reserves and longer-horizon positions is rebalanced as new invoices, expenses, or tax deadlines are recorded, not on a fixed monthly schedule.
The process is deliberately linear so that each recommendation can be traced back to the data that produced it.
Bank transactions, invoice dates, and reserve balances are collected and structured into a consistent format the model can read.
Patterns in payment timing, project length, and expense volatility are compared against your current liquidity buffer and stated constraints.
A specific allocation adjustment is proposed, with the reasoning shown alongside it, before any transfer between reserve categories is applied.
A larger-than-usual payment arrives. Instead of leaving it idle in a current account, the system separates the portion required for the upcoming Einkommensteuer and Umsatzsteuer reserves from the amount available for reinvestment, based on your historical tax rate and filing schedule.
When incoming work slows or broader market conditions turn unfavourable, the adaptive risk engine reduces exposure to volatile positions and prioritises liquidity, so that day-to-day expenses remain covered without requiring a manual intervention.
Transaction and invoice data are transmitted using encrypted connections and processed only to generate the analysis you see. Data is stored on infrastructure located within the EU to align with German data protection expectations.
The adaptive risk engine weighs three inputs: your historical income variability, your declared comfort with short-term fluctuation, and the outcome of previous recommendations you accepted or adjusted. No recommendation is generated from a single data point; each one reflects a rolling assessment updated as new activity is recorded.
Liquidity thresholds are set so that a defined portion of your reserves remains readily accessible at all times. Longer-horizon allocations are sized around your remaining buffer, not the other way around, so short-notice withdrawals do not require unwinding the full position.
No. The platform supports reserve planning and allocation decisions based on your own transaction data. Formal tax filings and individual financial advice remain the responsibility of a qualified Steuerberater or financial advisor.
Starting the analysis connects your recent transaction history to the predictive model and returns an initial reserve and allocation proposal, without committing to any transfer.
Start the Analysis