Make decisions based on data, not impressions

Poriro Kenale transforms vast market and business data sets into actionable recommendations no matter where you work from. Predictive models and real-time machine learning evaluate the signal in the volume of data, and each output is recorded for public verification.

Information noise increases the risk of remote decision making

Remote workers and local independent investors typically monitor dozens of sources simultaneously—market reports, financial statements, macroeconomic indicators. Without a systematic filter, the relevant signal is lost in the volume of data and decisions are delayed, or based on an incomplete picture. Poriro Kenale structures this noise into understandable and verifiable conclusions.

A predictive model with publicly verifiable performance

The core of the platform is a combination of predictive models and machine learning, which is continuously retrained on new data. The resulting recommendations are not just presented as summary charts, but as specific, searchable records.

Predictive models

They analyze historical and current data across markets and estimate likely developments over a defined time horizon.

Real-time machine learning

The model is continuously retrained on new data, so it reflects current market conditions, not an outdated state from a previous calculation.

Community verification of results

Each recommendation is recorded in a public performance log that can be reviewed by all users of the platform.

The performance of recommendations is traceable back in time, not just presented as a summary. This approach replaces general references with a specific, verifiable record.

Practical use

From analysis to application in real operation

Allocation of capital based on AI predictions

The system evaluates the risk profile of the available capital and proposes the distribution between individual asset classes according to the current prediction of volatility and expected return.

Real-time portfolio optimization

When market conditions change, the platform recalculates the recommended portfolio weights and warns of deviations from the chosen strategy without requiring constant manual control.

Automated risk management for digital nomads

The set loss and exposure limits are evaluated continuously, regardless of the time zone or the current availability of the user.

A tool designed for working outside the office

Poriro Kenale is built as a standalone analytics layer that can be controlled from any device with an internet connection. The interface is simplified to decision-making steps - recommendations, justifications, historical results - without unnecessary control elements.

Access to both data and performance logs remains the same regardless of location, time zone or device, which matches the nature of the work of locally independent investors.

Transparent results in real time

Each recommendation generated by the platform is recorded with a time stamp, input data and subsequent result. The log is publicly available and serves as a basis for evaluating model accuracy, not as marketing material.

View evaluation methodology →

Time stamp for each referral record

Input data visible for every prediction

Back check available to all users

Choice according to the amount of capital and depth of analysis

Individual plans differ in the scope of analysis scenarios and model update speed, not access to the public performance logs themselves, which are included in all tiers.

Standard

For individual investors

CZK 1,490 / month

Basic predictive models
Access to public performance logs
Monthly portfolio reporting

Select Standard

Professional

For active capital managers

4,900 CZK / month

Everything from the Standard tariff
Advanced risk scenarios
Priority model update
Export data for your own analysis

Select Professional

Enterprise

For companies and investment teams

Individual offer

Dedicated computing capacity
Integration via API
Dedicated setup consultant

Contact the team