NIS Petrola — Equity and Liquidity Analysis Platform Overview

Activate excess capital in 60 seconds

NIS Petrola AI analyzes your financial data and market conditions in real time, instead of your team manually processing spreadsheets and comparing offers.

The portfolio overview shows liquidity, expected return and level of risk exposure, and is updated minute by minute based on new data.

The price of waiting

Each month of unused liquidity carries a real cost

In a volatile market environment, a decision made a week late can mean a lost overhead advantage. Manual data analysis — spreadsheets, calls to banks, comparing offers — is no longer scalable for businesses that want to react quickly.

NIS Petrola processes cash flow data and market indicators automatically, so the decision to allocate excess cash does not depend on the availability of analysts or the speed of manual processing.

Indicator
Manual analysis
NIS Petrola
Time to propose
Days to weeks
Up to 60 seconds
Update frequency
Monthly
In real time
Risk assessment
It depends on the experience of the analyst
Standardized, measurable

Platform

The three pillars of the NIS Petrola platform

Each part of the system solves a specific problem in capital management, from forecasting to risk protection.

Prediction

Predictive analytics

Models trained on historical and market data predict yield movements and liquidity needs for the next quarter, rather than relying on assumptions.

Protection

Risk management

Each recommendation comes with an assessment of risk exposure and clearly defined loss limits, aligned with your defined risk appetite.

Speed

Real-time insights

Changes in the market and in your cash flows are processed immediately, without waiting for the monthly report or the next meeting with the advisor.

Setting up

From data connection to an optimized portfolio in three steps

The system takes over most of the work — Your role is to connect data and approve proposals.

Step 1

Linking data

Link a bank account or enter financial statements. The process takes less than a minute and requires no technical knowledge.

Step 2

AI processing and modeling

The platform analyzes liquidity, seasonal consumption patterns and current market conditions, and forms a capital allocation proposal.

Step 3

Optimized portfolio ready for action

You receive a concrete allocation proposal with an assessment of return and risk, ready for approval with one click.

Application

Application in everyday business

The script
Liquidity

Liquidity management during inflation

When expenses grow faster than income, excess cash sitting in a checking account loses real value. NIS Petrola identifies the part of the assets that is not needed for short-term obligations and suggests an allocation that preserves access to cash, with a return commensurate with the defined level of risk.

The script
Return / risk

Support in strategic investment decisions

Before you make a decision on a larger investment, the platform compares the available options according to the expected return and risk assessment, and singles out those with a more favorable ratio for your business profile. The decision remains yours — the analysis is shortened from days to minutes.

About the platform

NIS Petrola combines financial analysis and artificial intelligence

NIS Petrola was developed for small and medium business owners and financial managers who want to make capital decisions based on data, not gut feeling. The platform combines predictive models, standardized risk assessment and real-time data visualization in one tool.

The goal is not to replace the finance team, but to shorten the path from data to decision — with clear reasoning behind each recommendation.

NIS Petrola — the data analysis team and process behind the platform

Transparency

Security and accuracy issues

What security standard does the platform apply?

Data is transmitted via an encrypted connection, and access to the account is limited to authorized persons in your organization. The infrastructure is regularly updated according to modern security practices for financial data.

How is our financial data kept private?

The data is used exclusively to generate recommendations within your account and is not shared with third parties for commercial purposes. Historical data is retained as long as necessary for model accuracy, in accordance with internal retention policies.

How accurate are AI recommendations?

The models are based on historical and current market data and provide an estimate of return and risk, not a guarantee of outcome. Each recommendation shows the underlying assumptions of the model, so you can assess its relevance before approving it.

Turn data into profit

Set up your portfolio today and track its development from day one, with a clear overview of liquidity, returns and risk.

Get started now