Dynamic Trevion Dashboard for analyzing liquidity and investment data

AI-powered analysis for unused capital in your company

Dynamic Trevion checks historical financial data and shows what proportion of your liquidity can be invested without jeopardizing your solvency.

Liquidity analysis – example view

Available liquidity72%
Risk scorelow
Recommended investment rate18%

Illustrative representation. Not investment advice.

Unused liquidity costs more than it protects

Many small and medium-sized companies maintain high cash balances as a safety buffer. Without a systematic evaluation, it remains unclear what proportion of this could be invested. Manual analyzes in tables are time-consuming and rarely provide a reliable basis.

How the analytics engine supports decisions

Real-time data analysis

The platform continuously evaluates account movements and liquidity histories and automatically updates key figures.

Backtesting historical scenarios

Strategies are tested against multi-year market data before a recommendation is made.

Risk assessment per scenario

Each recommendation includes an assessment of risk based on volatility and liquidity needs.

Individual thresholds

They set minimum reserves. The analysis takes these limits into account in every calculation.

The models work exclusively with historical financial data and publicly available market information. Every recommendation is based on comprehensible calculations, not on forecasts without data.

Dynamic Trevion working environment for analyzing financial data

A platform that exposes calculations

Dynamic Trevion was developed for companies that want to make investment decisions comprehensibly. Instead of ready-made investment recommendations, the platform provides the database and the methodology behind it.

Every calculation can be traced back to the underlying historical data. The decision remains yours; the analysis provides the basis for it.

The analysis works in four steps

The process runs without manual evaluation and remains traceable at all times.

1

Connect data

You link account details or upload statements. The transmission is encrypted.

2

Recognize patterns

The engine identifies recurring liquidity patterns over several past years.

3

Backtest strategies

Possible investment strategies are tested against historical market data, not just simulated.

4

Recommendation received

You will receive an overview with a risk score and recommended investment rate.

Encrypted transmission Data remains in your control No passing on to third parties

Typical situations in which analysis helps

Seasonal business

Sales peaks over the course of the year

A retailer builds up large cash balances in the fourth quarter that remain largely unused in the first quarter. The analysis recognizes the seasonal pattern over several years and suggests a staggered investment.

Result: The liquidity buffer is retained and surpluses are systematically planned instead of lying unused.
Growth

Reserves for a planned investment

A service company is planning a major purchase in twelve months. The analysis simulates short-term strategies with a focus on capital preservation rather than maximum returns.

Result: The capital remains available as soon as the planned investment comes due.
Shareholder decision

Joint risk assessment in the family business

Several shareholders assess the willingness to take risks differently. The analysis provides a uniform risk score for different scenarios as a common basis for discussion.

Result: A common decision-making basis replaces individual assessments without a data basis.

Questions about reliability, data and usage

How reliable are the AI recommendations?

The recommendations are based on backtests with historical data. They are not a guarantee of future results, but rather a data-based assessment.

Will my financial data be processed securely?

Data is transmitted encrypted and used exclusively for your own analysis. It will not be passed on to third parties.

Does the platform replace financial advice?

No. The analysis provides a basis for decision-making. You or your advisor make the final decision.

What data does the analysis require?

As a rule, bank statements or an export from your accounting software from the last few years are sufficient.

How long does the first evaluation take?

After connecting the data, an initial overview is usually available within a few minutes.

Check how much liquidity can be invested sensibly

Start the analysis with your own data and get an initial assessment of the risk and investment rate.