Intelligent optimization of surplus cash for SMEs

Transform your idle liquidity into strategic profitability with predictive models that learn from your risk tolerance in real time.

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48hinitial setup and training 24/7volatility monitoring RNNsequential prediction models

The cost of static liquidity

Keeping idle capital in traditional checking accounts erodes your company's purchasing power month after month, even if the accounting balance does not change.

Prado Investorio analyzes the historical cash flow of your business to identify what part of that capital can be put to work without compromising daily operations or the availability of funds in the event of unforeseen events.

Prado Investorio: abstract data flow diagram showing capital moving from a static state to an optimized one

From raw data to treasury decision

01

Data integration

Secure connection with your existing financial data sources, without altering your current accounting operations.

02

Adaptive profiling

Our AI identifies your real risk threshold from historical behavior, not a theoretical one defined by form.

03

Predictive execution

Automatic recommendations based on massive market analysis and asset correlation models.

04

24/7 monitoring

Dynamic portfolio adjustments to changes in global volatility, without constant manual intervention.

Analytics infrastructure for corporate treasury

Module 01

Correlation analysis

Continuous evaluation of assets with minimal interdependence, reducing joint exposure to the same market factor.

Module 02

Projective backtesting

Simulations based on real macroeconomic scenarios, used to contrast each recommendation before executing it.

Module 03

Liquidity management

Algorithms that ensure immediate availability of funds, calculated on your real cash cycles.

Module 04

Compliance reports

Technical documentation ready for audit and accounting, automatically generated after each rebalancing.

Data science applied to corporate treasury

We are not a traditional financial advisor. We use recurrent neural networks (RNN) to predict short-term fluctuations and optimize surplus performance without forcing capital to take on more risk than allocated.

Our methodology prioritizes capital preservation through automatic portfolio rebalancing, adjusting positions when the model detects a deviation from the risk profile calculated for your company.

RNNsequential prediction architecture
Dailymodel recalibration frequency
Stop-lossdynamic by asset and by portfolio

Common questions from financial directors

How does AI ensure the safety of my capital?

The system operates under dynamic stop-loss parameters and strict algorithmic diversification, reviewed in each daily recalibration cycle.

Is it compatible with accounting regulations in Spain?

Yes, all reports are generated following current financial reporting standards, ready for your accounting or audit team.

What implementation time does it require?

Initial setup and training of the model on your data takes less than 48 hours from integration of financial sources.

Stop missing opportunities due to lack of analysis

Join companies already optimizing their bottom line with Prado Investorio, integrating their financial data into a continuous and measurable decision process.