Jancura Kapital uses predictive models to analyze free cash and market data in real time. The result is concrete recommendations for capital allocation, without commissions that would reduce the return.
Money that sits in a current account or is managed in a conventional way is subject to inflation and at the same time generates management, trading and brokerage fees. This effect is referred to in analytics as fee revenue erosion — the difference between the gross and net appreciation that the third party takes away.
Jancura Kapital replaces manual decision-making with a model that evaluates market signals in real time and reacts to them without delays caused by the human factor or commission structure.
Illustrative comparison of capital utilization efficiency — time orientation and decision-making speed, not specific revenue numbers.
The platform is based on a combination of predictive models, risk management and real-time data processing. None of the layers work in isolation — the output of one is the input of the other.
The models learn from historical and current market data and estimate the likely evolution of liquidity, the interest rate environment and volatility. The output is a range of scenarios, not a single fixed prediction.
Each recommendation is tied to an exposure limit derived from the company's declared risk tolerance. The system continuously checks whether the actual allocation does not deviate from this limit.
Data from the market and from the client's account are processed continuously. Recommendations are updated as conditions change, rather than based on data that is several days old.
Jancura Kapital was created as a tool for small and medium-sized business owners who want to work with free cash as systematically as with the operating budget. Decision making is not based on intuition or the recommendation of a third party with a vested interest in turnover.
All analytical logic is transparent in the sense that the client can see on what input data the recommendation was generated and can compare it with their own judgment before approving the transaction.
Most capital management platforms charge a fee based on trade volume or profit. This cost accumulates with repeated transactions and can represent a significant part of the potential return in the longer term.
Jancura Kapital does not have this structure. The platform's income does not come from a commission for individual transactions, and therefore there is no incentive to over-trade or a conflict of interest between the referral and the platform's income. As a result, 100% of the profit generated remains with the company that invested the capital.
The process is divided into four steps. Each step has a clearly defined input and output, so it is possible to trace back why a given recommendation was generated.
The system collects data on balances, cash-flow and relevant market indicators, which the company makes available through the connection to the account.
The predictive model evaluates input data against current market conditions and the client's declared risk tolerance.
The platform formulates specific recommendations for capital allocation, including rationale and expected range of results.
After approval by the client, the recommendation is made without additional commission, and the result is reflected back into further modeling.
The following scenarios describe typical situations in which companies deploy Jancura Kapital for equity management.
A firm with an irregular but recurring surplus of cash needs capital to remain available and at the same time not idle. The model proposes a distribution between liquid and slightly more profitable positions according to the predicted payment schedule of the firm.
The capital remains available for operational needs, the rest works for appreciation.
A firm that holds a reserve for future investment or an unexpected loss of revenue faces the risk that the fair value of the reserve declines over time. The platform suggests distributing the reserve so that part of the capital responds to inflationary pressure without jeopardizing its availability.
The reserve is divided according to the horizon over which it is likely to be drawn.
A company with income or liabilities in foreign currency needs to limit the impact of exchange rate fluctuations on the economic result. The model continuously evaluates the exposure and proposes adjustments that reduce the sensitivity of the company's result to movements in exchange rates or interest rates.
Recommendations adapt to current exposure, not a fixed rule.
For a closer idea of how the platform would work with the specific structure of your capital, it is possible to arrange a demonstration of the platform on real, anonymized company data.