Krug Ulagrina analyzes your financial data in real time and suggests the optimal allocation of excess cash, without freezing funds for a fixed period.
Visual representation of data flow: raw financial inputs are processed in real time into structured recommendations for decision making.
The system does not offer general recommendations. Each output is based on models trained on structured financial patterns and is updated as new data arrives.
The model projects liquidity movements based on historical transactions and seasonal patterns, thereby reducing the number of uninformed asset allocation decisions.
Risk parameters are recalculated continuously, not at fixed intervals, so deviations from the expected scenario are noticed before they affect the business.
Capital allocation recommendations are ranked according to the ratio of yield to availability, not solely according to expected return.
Each recommendation comes with a visible set of input variables, so the business owner can check the logic before confirming.
Investing your excess cash wisely has traditionally meant choosing between yield and access to funds. Krug Ulagrina takes that decision out of the equation.
Funds are distributed according to active recommendations, but withdrawals are not tied to maturity dates. This means that urgent business expenses do not have to wait until the end of the contractual period.
Instant withdrawals, no lock-in termsThe process is the same for every user account, with no manual exceptions, ensuring consistency of referrals over time.
Financial data, market indicators and transaction history are linked into a single, standardized set within seconds of input.
The model compares current indicators with reference scenarios and calculates the probability of deviation from the expected liquidity flow.
The system proposes an allocation of capital ranked according to risk and availability, and not according to one generic average.
The examples below describe typical SME situations, without assuming specific amounts or industry.
The company regularly ends the month with an unused balance on the business account. Instead of the funds sitting without yield, the system suggests a schedule that takes into account the expected expenses of the following month.
The result: less idle capital, with retained access to funds for current liabilities.
Before expanding operations into a new market, AI simulations assess the sensitivity of cash flow to changes in demand and cost of entry, based on comparable market patterns.
Outcome: the decision to enter is based on a calculated range of risks, not an unfounded assessment.
Data is transmitted over an encrypted connection and stored separately from identifying information. Access to analytical models is limited to the systems necessary for processing, without manual insight into the raw data.
Withdrawal requests are processed immediately upon receipt, without contractual waiting periods. The transfer time depends on your bank, not the internal limitations of the platform.
Models are continuously checked by comparing predicted and actual outcomes. Recommendations always come with an indicated confidence range, not as a single absolute number.
No hidden fees and no locking of funds. Registration takes a few minutes.
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