Zynsraatia dashboard with predictive analysis of liquid assets

For entrepreneurs and private investors

Return on excess liquid assets, supported by predictive algorithms

Zynsraatia analyzes current market and company data to identify concrete allocation options for your cash surplus. You retain the decision; the platform provides the substantiation.

Many companies miss out on returns

Liquid assets that exceed the operational buffer remain in a current account with a limited return at many companies. The decision to use this capital elsewhere requires time, market knowledge and continuous monitoring — something that is difficult to maintain in addition to daily business operations.

Manual analysis of interest rates, market conditions and risk profiles often leads to postponement. As a result, capital remains idle for longer than necessary.

An AI-driven approach to data-based decision making

Zynsraatia continuously processes market data and combines this with predictive algorithms that calculate scenarios based on your liquidity profile and risk appetite. The result is an overview of realistic options, with the underlying assumptions made clear.

  • Continuous analysis of market data, not a periodic snapshot
  • Scenarios tailored to your risk profile and liquidity needs
  • Recommendations with substantiation, not just an outcome
  • You retain full control over every decision

An aid to decision making, not a substitute for your judgment

Zynsraatia is built on the premise that technology can improve the quality of decision-making without taking over responsibility. The platform structures data that is otherwise dispersed and difficult to compare, and presents it in understandable scenarios.

The algorithms learn from current and historical market patterns, but each recommendation is provided with the underlying assumptions. This way, as an entrepreneur or investor, you can assess for yourself whether a scenario suits your situation before you take a step.

Zynsraatia team works on data analysis and risk models

Three parts of the analysis model, without technical jargon

01

Predictive modeling

The model uses historical market patterns and current indicators to estimate how different allocation scenarios might behave under different circumstances. This does not provide any guarantees, but it does provide a comparable and consistent assessment framework for options that are otherwise difficult to compare.

02

Real-time data integration

Market conditions are constantly changing. Instead of working with outdated reports, the platform continuously processes current data, so that scenarios are updated as relevant circumstances change. You will receive a notification when a previously presented scenario differs materially from the current situation.

03

Risk management

Each recommendation is accompanied by a risk assessment, including the factors that most influence the outcome. The platform takes into account your stated risk appetite and liquidity needs, so that proposed scenarios fit within the boundaries you have specified in advance.

A publicly auditable performance log

Rather than just reporting results internally, Zynsraatia publishes an overview of run scenarios and their outcomes for users and independent reviewers to review. The view below illustrates the structure of this log.

Preview performance log Illustrative, no current figures
Period Strategy type Reported outcome Verification status
Sample quarter A Conservative liquidity strategy Visible after publication Community review completed
Sample quarter B Diversified market allocation Visible after publication In review
Sample quarter C Short-term cash surplus Visible after publication Community review completed
This is an example of the type of data published in the platform. Actual figures are released separately per customer and per period, with the consent of the user involved.

What the verification badge means

A scenario is given the status "verified" after the underlying data and assumptions have been reviewed by an independent reviewer within the platform. This process checks whether the reported outcome matches the published source data, not whether the outcome guarantees what happens in the future.

Different situations in which entrepreneurs want to deploy capital

Treasury

Treasury management

For companies with a structural cash surplus, the platform analyzes which part of the liquidity can be safely deployed without affecting the operational buffer, taking into account payment obligations and seasonal patterns.

Expansion

Market Expansion Analysis

In the event of a planned expansion into a new market or region, the model maps the capital requirement and associated risks, so that an investment decision can be based on broader data than internal estimates alone.

Spread

Portfolio diversification

For investors looking to diversify their exposure, the platform identifies concentration risks in an existing portfolio and shows alternative allocations that match the desired risk level.

Answers to questions we often receive

How is the security of our financial data handled?
Data is stored and processed encrypted within an environment that is only accessible to authorized processes. Access to company-specific data is limited to what is strictly necessary for the analysis, and users can view which data is linked at any time.
How does the integration with our existing systems work?
The platform connects to common accounting and banking connections, where you decide which data sources are shared. An initial connection and first scenario analysis take place during a joint intake, so that expectations are clear in advance.
What are the costs associated with using Zynsraatia?
The costs depend on the size of the capital to be analyzed and the number of desired scenarios. During the demo we will discuss your situation and you will receive a tailor-made indication, without any obligation in advance.
Does the AI ​​make decisions for us?
No. The platform provides scenarios, substantiation and risk assessments, but every final decision remains with you or your advisor. This is a conscious choice: automated systems lack context that only the entrepreneur himself has.

Discover what data-based decision-making can do for your liquid assets

Schedule a no-obligation consultation in which we will go through an initial scenario based on your situation, including the underlying assumptions and risks.

Request a demo