Balkora combines automated analysis of market data with your internal cash flow. The result is decision templates for the allocation of liquid assets that are based on your individual risk profile.
Request analysisMany companies hold cash reserves that exceed operational needs. In volatile markets, the value of these reserves changes daily without this being visible in classic reporting. At the same time, the volume of data from market movements, interest rate developments and internal cash flows exceeds the capacity that a single decision-maker or a small team can evaluate manually. The result is a gap between available information and information actually used.
Any approval, rejection, or adjustment you make flows back into the model. Over time, the risk tolerance of the analysis calibrates to your actual behavior, not a generic average. This makes suggestions more relevant across multiple cycles and requires less manual correction.
The platform evaluates historical patterns and current market indicators to flag shifts early. Instead of pure snapshots, probability corridors are created that show you the range within which an allocation can move before a final decision is made.
Balkora reads account transactions, accounting data and securities account information from the systems you already use. There is no need to change your existing infrastructure, just connect the relevant interfaces.
The process is divided into three comprehensible steps. Every step can be viewed and tracked in the system.
Market, liquidity and accounting data is continuously merged and normalized from connected sources.
Trained models identify correlations, anomalies and trends that go beyond simple trend lines.
The results are translated into concrete, prioritized suggestions that you review, adapt or share.
Cash reserves that exceed short-term needs are identified and compared with risk-adequate investment options.
The analysis suggests asset classes with low correlation to your existing holdings based on current market data.
Seasonal fluctuations in cash flow are calculated in advance to avoid bottlenecks before they become operationally relevant.
A well-founded assessment of your current liquidity situation requires access to your data and a lead time of just a few working days. The first exchange is non-binding and serves to determine whether collaboration makes sense.