The Rendinvo IA engine analyzes millions of data points to optimize your company's idle liquidity, without withholding a percentage of the profits generated.
No transaction commissions. No hidden costs on performance.
Rendinvo IA was created to respond to a specific problem: company liquidity stuck in low-yielding current accounts. The system observes cash flows, evaluates the available market windows and proposes allocations compatible with the risk profile declared by the company.
The absence of commissions is not a temporary incentive: it is a structural feature of the infrastructure. Operational costs are covered by the efficiency of the system, not by the margin taken away from customer operations.
Entry, exit and rebalancing do not generate variable costs: the return remains entirely at the company's disposal.
The models recalculate forecasts with each significant change in market data, without waiting for manual updates.
Each recommendation is bound to the risk profile set, with exposure thresholds defined before execution.
The predictive engine processes historical series and aggregate market data through distributed pipelines, with continuous verification of the quality of the input data.
The process is divided into three distinct phases, each verifiable and traceable, to maintain clarity on how each recommendation arises.
Aggregation of market sources, corporate liquidity data and public macroeconomic indicators, normalized into a common format.
Normalized data feeds risk assessment models that estimate probable scenarios over defined time horizons.
The system returns an operational output: suggested allocation, risk thresholds and summary justification for the recommendation.
Three recurring scenarios for small businesses that manage liquidity independently, without a dedicated financial team.
Available cash is monitored and allocated to low-risk instruments when it exceeds the operational threshold defined by the company, without continuous manual intervention.
The models identify trend changes over short and medium horizons, providing a margin of advance warning useful for timely decisions.
When the exposure moves away from the set risk parameters, the system proposes a rebalancing consistent with the original objective, without additional management costs.
Each recommendation is accompanied by verifiable indicators, not an opaque summary. The goal is to make readable a process that, in many tools, remains a black box.
Each incoming source is verified and tracked; anomalies are reported before affecting an active model.
Sensitive data is end-to-end encrypted and access to production systems is limited and logged.
No commission on entry, exit or management: the return generated remains entirely available to your company. The initial analysis does not involve commitment or costs.