WertnexoAI continuously analyzes your liquidity data and shows which funds can be actively used instead of remaining in business accounts without interest. The evaluation takes place in real time and takes your individual risk profile into account.
Start your free analysisPreview: daily evaluation of capital flows and liquidity reserves for small and medium-sized companies.
Liquid assets that lie in a current account for months rarely achieve a return that is comparable to alternative forms of investment. The difference between what would be possible and what is actually achieved is called opportunity cost. For managers of small and medium-sized companies, this gap is often difficult to quantify because the necessary market observation requires time and specialized knowledge that is rarely available in day-to-day business.
Manual analyzes of individual market segments can hardly be scaled with today's data volumes. Where once a weekly overview was sufficient, interest rates, liquidity requirements and market conditions now change within hours. Without automated evaluation, part of the available capital remains unused, simply because no one finds the time to systematically check it.
The platform combines forecasting, risk control and reporting in a continuous process.
The platform evaluates historical and current market data to identify patterns before they become visible in the usual metrics - such as shifts in the interest rate structure, seasonal liquidity fluctuations or leading indicators of market volatility. The forecasts derived from this serve as a basis for concrete recommendations for action, not simply as a trend indicator.
Each recommendation automatically takes into account defined security buffers so that operational liquidity is guaranteed at all times. The algorithmic optimization weights return opportunities against the company's individual risk profile instead of specifying blanket investment quotas.
All positions and their development are continuously recorded and presented in an understandable form. Real-time metrics replace retrospective quarterly reports with an ongoing view of actual capital performance.
Three consecutive steps lead from raw data to a comprehensible recommendation.
Relevant data is brought together from multiple sources: account movements, market data and company-specific parameters such as liquidity requirements and risk tolerance.
Neural networks filter noise from the raw data and identify reliable patterns. Short-term outliers are distinguished from structural changes before a recommendation is made.
The analysis results in concrete, prioritized suggestions - including the underlying assumptions so that the decision remains comprehensible.
The interface only shows what is relevant for the current decision: resources used, available reserves and developments since the last report. Additional elements are deliberately avoided.
Full control comes from daily accountability, not from annual balance sheet discussions: you see how your invested capital is developing and keep an eye on every decision.
WertnexoAI combines quantitative market analysis with a clear view of the reality of small and medium-sized companies. Instead of generic investment suggestions, recommendations are created that take into account a company's individual liquidity situation, risk appetite and planning horizon.
The aim is not to predict every market movement, but rather to reliably distinguish structural patterns from short-term noise - and to document this distinction in a comprehensible way. The models are continually checked and adjusted based on new market data.
Answers to the points that are most frequently asked in German-speaking medium-sized businesses.
All data is processed exclusively on servers within the EU and is subject to the requirements of the GDPR. Access rights are limited to the systems that are necessary for the respective analysis.
The connection takes place via standardized interfaces to common banking and accounting systems. The time required depends on the number of connected accounts and data sources and is specifically estimated in the initial consultation.
The system distinguishes between short-term fluctuations and structural changes in market conditions. When volatility increases, recommendations are automatically weighted more conservatively until a stable pattern is confirmed.
You get started without a long-term commitment. A pilot phase shows how the analysis affects your specific case before further steps are agreed.