Smart decisions, optimized capital.
Boost your cash surplus with predictive analytics and institutional-grade AI. No empty promises, just verified data.
Boost your cash surplus with predictive analytics and institutional-grade AI. No empty promises, just verified data.
Many small and medium-sized businesses keep their surplus cash spread across bank accounts, spreadsheets and different accounting systems. This fragmentation makes it difficult to see the full picture when it is needed.
When analysis relies on manual review, opportunities to place that capital judiciously are often detected late or not at all. The risk is not only not winning: it is deciding with incomplete information.
Three stages, no hidden steps or manual adjustments in between.
Accounts, spreadsheets and accounting systems are connected to consolidate cash flow without manual intervention.
The models evaluate volatility, liquidity and exposure before generating any recommendations.
A concrete recommendation is delivered, with the reasoning and associated time horizon.
Each recommendation is based on declared variables: historical volatility, available liquidity and investment horizon. The criteria behind each model is recorded and available for review.
This allows a financial officer to understand why an action is being suggested, not just what action is being suggested. Traceability is part of the product, it is not an optional addition.
Each recommendation generated by the platform is recorded with date, variables considered and subsequent result. The user community can consult this history and compare it with the actual performance obtained.
Isolated projections without follow-up are not published. What is shown is what happened after each recommendation.
Community VerifiedEach log entry can be commented on and flagged by other users, adding an additional layer of control over reported accuracy.
Designed to reduce analysis time and the margin of human error.
Mitigate your cash exposure by identifying concentrations of risk before they impact cash flow.
Anticipate periods of stress or surplus with projections based on the historical behavior of your accounts.
Optimize the financial team's time with reports that generate themselves and are updated with each new data.
A company with seasonal sales can use analysis to decide how much surplus to place in short-term instruments without compromising daily operations. The platform indicates the available margin according to the collection and payment cycle.
A private investor with multiple holdings can contrast AI signals against their own portfolio to identify unwanted concentrations. Each recommendation comes accompanied by reasoning and the level of associated risk.
Information is transmitted encrypted and stored under restricted access controls. No data is shared with third parties without explicit consent.
No. The connection is done through code-free integrations with common banks and accounting platforms. The technical team does not need to intervene in the process.
Access is evaluated based on the volume of accounts analyzed and the depth of the report. Details are shared during the access request.