Digital Infrastructure Insights – Overview of capital structures and data-based analysis for companies

Liquidity that works – based on back-tested AI models

Digital Infrastructure Insights analyzes your capital structure and shows risk-minimized options for action that have been validated based on historical market data - before you have to make a decision.

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GDPR-compliant data processing Server location Germany Comprehensible methodology instead of a black box
Initial situation

The cost of hesitation with idle capital

Many owners of medium-sized companies continue to manage liquid assets via current account accounts or static tables. In an environment of fluctuating interest rates and growing data volumes, this is often no longer enough to avoid capital losses due to inflation and lost return opportunities.

  • Liquidity congestion Capital sits unused in accounts, while investment opportunities with acceptable risk remain unexamined because analysis takes time that is missing from day-to-day business.
  • Data overload Market, interest and balance sheet data grows faster than it can be meaningfully evaluated manually in spreadsheets. Individual key figures lose their connection.
  • Delayed response Without ongoing monitoring, periods of volatility are often only recognized when the window of opportunity for a low-risk reaction has already closed.
Ø 8–14 hours
manual effort per month for liquidity analysis in many SMEs - time that is missing in operational business.

Classic spreadsheets usually only show historical patterns selectively. They rarely show how a strategy would have behaved across multiple market cycles - which is exactly what backtesting does.

Procedure

How data becomes historically informed decisions

Backtesting means: A strategy is not only calculated, but also checked based on past market data to see how it would actually have behaved. Only when this result is comprehensible will a recommendation be made.

01

Data aggregation

Your liquidity, sales and balance sheet data are merged with relevant market and interest rate data sets and processed in a structured manner.

02

AI simulation

Models calculate possible investment and liquidity strategies under different market conditions and risk profiles.

03

Backtesting validation

Each strategy is tested against historical market phases to examine return and volatility behavior under real-world conditions.

04

Recommendation for action

You will receive an understandable recommendation including the assumptions on which it is based - for you to examine yourself.

Benefit

What this means for your everyday business

Risk minimization

Fewer gut decisions, more tested options

Instead of making individual investment decisions based on feeling, see how a strategy would have performed in past downturns. This does not remove the risk, but rather the uncertainty about its extent.

Example key figures that are included in every analysis: maximum historical loss of value, range of fluctuations (volatility) and recovery time after loss phases.

Real-time monitoring

Recognize changes before they become a problem

Your liquidity situation is constantly compared with current market data. If there are relevant deviations, you will receive a notification instead of only seeing the result in the accounting at the end of the month.

This leaves time for business decisions instead of compiling account statements and market reports.

Tailored strategies

Recommendations that match your risk-bearing capacity

A company with 500,000 euros in reserves has different requirements than one with several million. The models take your individual liquidity planning into account instead of suggesting a blanket strategy.

You determine the weighting between security and return - the calculation is made on this basis.

About Digital Infrastructure Insights

A tool for entrepreneurs, not a replacement for your decision

Digital Infrastructure Insights is designed for companies that have financial responsibility without having their own analytics department. The models provide the basis for the decision - the decision itself remains yours.

We work with documented data sources and disclosed assumptions so that every recommendation remains understandable instead of being presented as a black box.

Digital Infrastructure Insights team analyzing market data and capital structures
Transparency

Traceability instead of a black box

Each recommendation is based on documented data sources and openly visible assumptions. You not only get a result, but also the path to get there.

Example of a backtesting process: The line shows how a simulated strategy would have developed over different market phases - including declines and recovery phases.

Standards that we follow

  • Use of publicly documented market data and traceable historical periods
  • Disclosure of the model assumptions, including time horizon and assumed risk profile
  • Regular review of models based on current market developments
  • Separation between automated analysis and final business decision
Frequently asked questions

Questions that entrepreneurs often ask us

How do you handle our company data?

Processing takes place on servers in Germany in accordance with the GDPR. Data will only be used to analyze your request and will not be passed on to third parties for advertising purposes.

Is there a minimum capital limit for the analysis?

The analysis is generally designed for companies with relevant liquid assets, typically from a six-figure amount, as the costs and benefits often cannot be meaningfully reflected below.

What logic is the AI ​​recommendation based on?

The models combine historical market data with your individual key figures and are backtested against past market phases. The underlying assumptions are disclosed to you.

Can the analysis be integrated into existing accounting systems?

Yes, data import from common accounting and ERP systems is possible. We will clarify details about the specific connection in a personal conversation.

Don't let your capital go to waste any longer

Receive an initial, non-binding assessment of your liquidity situation based on back-tested models - before you have to make a decision.