Mienatura - An analytical dashboard presenting aggregated financial data from multiple platforms

Analytical platform for business

Surplus working capital works more efficiently when decisions are supported by AI analysis

Mienatura combines data from multiple exchanges and financial platforms into one coherent dashboard, providing unified data intelligence that supports the optimization of company liquidity decisions.

Start your analysis

For business owners and investors managing liquidity on several platforms at the same time.

Starting point

Cost of distributed data

Companies that maintain funds on several exchanges or financial platforms rarely have a complete picture of the situation in one place. Manually comparing offers and metrics leads to delays, and delays come at a cost.

When data is spread across several login panels, each decision requires manual compilation of numbers. In practice, this leads to a phenomenon that can be called decision paralysis - the more data sources, the longer it takes to compare them, and therefore the longer capital remains idle instead of working for the company's benefit.

The cost of this delay is rarely immediately apparent. It is only revealed in the monthly statement when it turns out that the funds were in a low-interest account, while a comparable risk on another platform offered clearly better conditions.

There is no single source of truthData is logged separately on each platform, making real-time comparison difficult.
Delayed reactionsManual analysis takes hours while market conditions change in minutes.
Missed opportunitiesBetter terms on another platform often go unnoticed because no one has time to check them regularly.
Increasing risk of errorCopying numbers manually between sheets increases the likelihood of errors when dealing with larger amounts.

Solution mechanics

One panel, many data sources

Mienatura does not replace platforms where a company already holds funds - it connects to them and organizes data in one place so that decisions are based on the whole picture, not on fragments.

Aggregation of data from multiple platforms

The system connects to accounts on individual exchanges and platforms through their APIs, downloading data on balances, rates of return and offer conditions. Instead of logging in to each panel separately, the user sees a summary in one view, updated on an ongoing basis.

Predictive AI models

Based on collected historical and current data, predictive models estimate the risk-return ratio for available options. The goal is not to identify one "best" decision, but to provide an ordered set of options along with their risk characteristics.

Connections to the platforms are made via API keys with a limited scope of permissions.
Models are updated based on new market data, not trained once.
Recommendations take into account the time horizon indicated by the user.

Mienatura - visualization of a unified panel aggregating data from multiple financial platforms

Method of operation

Four steps before you make a decision

The process is intentionally linear - each subsequent step is based on the result of the previous one, which allows you to trace where a given recommendation came from.

Step 1

API integration

The company connects accounts from its existing platforms using restricted API keys, without sharing login credentials.

Step 2

Real-time analysis

The system compiles balances, rates of return and offer terms from all connected sources in one, constantly updated view.

Step 3

Personalized recommendations

Based on the declared time horizon and risk tolerance, the model indicates allocation variants with justification.

Step 4

Portfolio optimization

The decision remains with the user - the platform provides data and variants, it does not execute transactions automatically.

Security and risk

A practical approach to risk, not a promise of no risk

Any form of investing surplus capital carries risk. Mienatura's job is to make this risk visible and quantifiable, not hide it.

Risk diversification

The recommendations take into account the distribution of funds between platforms with different characteristics, instead of concentrating capital in one place.

Data security

Access to accounts is only possible via API keys with limited permissions, without the possibility of withdrawing funds through the system.

Transparency of assumptions

Each recommendation contains information about the input data and time horizon on which it was based.

The platform provides analytical tools supporting financial decisions and does not constitute investment advice within the meaning of the regulations. The final decision on the allocation of funds rests with the user.