Tirzin Valser evaluates project and liquidity data in real time and shows how capital is optimally used between orders. Calculated automatically, documented in a comprehensible manner, and can be checked daily.
Start analysis nowTirzin Valser combines quantitative data analysis with practical decision models for freelancers and sole proprietors. Every recommendation is based on comprehensible calculations, not on assumptions.
The platform processes project revenue, reserves and market data in a unified model. The result is a basis for decision-making that can be checked daily - not only after the fact.
The system reduces financial decisions to three clearly defined steps. Each step builds on the previous one.
Project income, account transactions and market data flow continuously into the system. No manual exports, no capture delays.
Algorithms evaluate fluctuations in order volume and cash flow before they affect the account. The basis is historical patterns and current market data.
Recommendations adapt to capital size and risk profile - from short-term liquidity protection to long-term reserve strategy.
Every morning you will receive an updated overview of your key figures. The AI flags deviations as soon as they are detected - not just at the end of the month.
Transparency here means: you see the same data as the model. No black box, no delayed communication.
| Key figure | status | trend |
|---|---|---|
| Liquidity ratio | Stable | → |
| Risk index | Low | ↓ |
| Capital utilization | Moderate | ↑ |
| Reserve buffer | Sufficient | → |
Illustrative representation of the dashboard structure, no real data.
Three processing steps lead from raw data to a concrete recommendation for action. Every step is documented and traceable.
Project, account and market data are recorded and cleaned in a structured manner. Incorrect or incomplete entries are marked and not silently accepted.
A neutral model weights the data according to risk and relevance. Fixed rules reduce human bias in evaluation.
The system provides concrete options for action with justification. The final decision remains with you, not the model.
The following examples show how freelancers use analysis in everyday life - regardless of industry or capital size.
Reserves are not kept unused, but rather invested according to the risk profile. This means capital remains liquid when a new project starts and works when an order is paused.
The AI distributes capital across multiple asset classes depending on the stability of your order pipeline. Fluctuations in the order situation therefore have less of an impact on liquidity.
All data is processed on servers in Switzerland and stored in accordance with applicable data protection regulations. Only authorized systems have access, no manual inspection by third parties.
The model is based on established statistical risk analysis methods, trained with historical market and project data. It is constantly readjusted with new data, not trained once and then fixed.
You can disconnect the data connection at any time via the dashboard. Exported reports and your own data remain your property after termination.
Start with a free demo or first read the technical documentation on the methodology behind Tirzin Valser.