Denkwertenz uses predictive AI to automatically manage liquidity and risk so that your capital works even when you are busy with customer projects.
Many freelancers have reserves from completed projects, but rarely have the time to monitor markets on a daily basis and make decisions manually. There is little room for portfolio analysis between customer meetings.
Manual data evaluation is often too slow for volatile markets. By the time a decision is made, the situation has already changed. Denkwertenz does this observation in the background and makes or recommends decisions in real time, based on current market data instead of outdated impressions.
Instead of postponing financial decisions until there is time again, a system works in the background that continuously filters signals and only intervenes when it makes sound sense. This reduces mental load without giving up control.
Denkwertenz was designed to provide self-employed professionals with a precise, data-driven alternative to manual portfolio maintenance. The focus is not on automation for its own sake, but on the question of how capital can be used sensibly without tying up additional working time.
The models continuously analyze market data and adapt recommendations to individual risk profiles, which are comprehensible and can be viewed at any time.
The models evaluate trading volumes and market movements before major shifts become apparent. Instead of reacting to past prices, attention is paid to patterns that precede changes.
The system learns your personal risk tolerance from previous decisions and adjusts allocations accordingly. The longer Denkwertenz is used, the finer this adjustment becomes.
As business volume grows, capital requirements also change. The recommendations are dynamically adjusted so that they keep pace with the development of your freelance business.
They link relevant accounts and data sources via encrypted interfaces. Data sovereignty remains entirely with you.
Our models separate short-term market noise from reliable signals and evaluate them in the context of your risk profile.
You will receive a comprehensible recommendation or, depending on the mode selected, a decision that has already been made, including justification.
Completed projects often bring short-term liquidity peaks. Denkwertenz checks how these sums can be sensibly placed until the next need.
Tax reserves must remain available, but do not have to lie unused. The system takes due dates into account for each recommendation.
Long-term private provision can be built up using planned, AI-supported compound interest effects, adapted to fluctuating incomes.
All data is processed and stored on servers within Germany. Processing is carried out in accordance with GDPR, with complete transparency about which data points are used for which analysis.
When volatility increases, the model automatically reduces risk within the limits you set. It does not make any speculative decisions against your defined risk profile.
Yes. You determine whether recommendations are submitted for approval or implemented automatically within defined limits. Any change to this setting is possible at any time.