Hoe wordt mijn bedrijfsdata beveiligd

Alle gegevens worden versleuteld verzonden en opgeslagen, in lijn met de vereisten van de AVG/GDPR. Toegang tot uw dataset is beperkt tot wat noodzakelijk is voor de werking van het model en wordt niet gedeeld met derden voor commerciële doeleinden.

Wie houdt toezicht op de algoritmen

De modellen worden periodiek herzien op basis van hun feitelijke prestaties. Elke aanbeveling wordt gepresenteerd met de onderliggende cijfermatige redenering, zodat u als gebruiker de logica kunt nagaan in plaats van een advies zonder toelichting te moeten aanvaarden.

Hoe snel kan ik starten

De koppeling met uw boekhoud- of bankomgeving is ontworpen om onder 60 seconden te voltooien. Een eerste analyse wordt onmiddellijk na koppeling gegenereerd, zonder wachttijd voor implementatie of onboarding door een extern team.

Zeker Gainex — dashboard environment for enterprise liquidity analysis

AI-driven capital intelligence

Convert unused liquidity into data-driven returns

Zeker Gainex analyzes your cash positions and market data in real time and puts together a portfolio recommendation within 60 seconds, based on self-learning algorithms instead of intuition.

Start your analysis View the methodology

Setup under 60 seconds — no lengthy implementation.

Sample analysis — illustrative

Liquidity utilization 38%

Risk score Low

Expected volatility 1.4%

View illustrating the type of insights the model generates. No return guarantee.

The challenge

Unused capital costs more than it appears to yield

Many Belgian SMEs hold liquid assets in a current account while the underlying market conditions are constantly shifting. A manual spreadsheet analysis provides a snapshot, not a continuous view.

By the time a controller has compiled a quarterly statement, interest rate conditions, risk premiums and liquidity needs have often already changed. That difference between decision moment and market reality is an opportunity cost that is rarely calculated explicitly, but does add up.

Zeker Gainex replaces periodic manual checks with continuous, automated monitoring of your cash position.

Zeker Gainex analyst who reviews liquidity data and market indicators

The technology

Three pillars behind the recommendation

Every advice Zeker Gainex generates is built on the same technical foundation: predictive modeling, continuous risk assessment, and rapid execution of insights.

01 — Predictive modeling

Pattern recognition on historical and current data

Self-learning algorithms analyze cash flows, seasonal patterns and market movements to calculate likely developments in your liquidity position, not predict them based on assumptions.

02 — Risk assessment

Real-time risk profile analysis

Each proposal is continuously recalibrated based on your risk tolerance and current market volatility, so that last week's advice does not remain tacitly valid if circumstances change.

03 — Automated execution

From insight to concrete allocation proposal

The analysis results in a structured proposal for the allocation of free resources, with underlying numerical substantiation that you can check yourself.

Method

From link to insight within 60 seconds

The design does not require a technical team and no long-term implementation process. Three steps determine the entire process.

Step 1

Linking your data

You connect your accounting or banking environment via a secure API link. This part is designed to complete under 60 seconds, without manual data export.

Step 2

Analysis and pattern recognition

The model recognizes recurring patterns in your cash flows and compares them with current market data to identify anomalies and opportunities.

Step 3

Optimization

You will receive a concrete, substantiated proposal for the allocation of free resources, with the underlying reasoning for each recommendation.

Applications

How Belgian SMEs use the platform

Two scenarios illustrate how the analysis translates into concrete decisions at the level of a financial manager.

Case 1

Optimization of working capital

A production company structurally maintains a liquidity buffer for seasonal peaks in material purchases. Zeker Gainex calculates, based on historical cash flow patterns, what part of that buffer can reasonably be released without endangering the operational safety margin.

The result is not advice to invest everything, but a differentiated proposal: part remains immediately available, part is allocated to short-term instruments with limited volatility.

Case 2

Strategic timing and hedging

An importing SME is exposed to exchange rate fluctuations when purchasing in foreign currencies. The model continuously monitors relevant market indicators and signals when the risk profile analysis indicates an increased risk of adverse price movements.

On this basis, the financial manager receives a timely, numerically substantiated signal to consider a hedging position, instead of having to respond afterwards.

Transparency and security

Frequently asked questions about data and model

The answers below address the most frequently asked questions from financial managers about security, control and implementation.

How is my company data secured?

All data is sent and stored encrypted, in line with the requirements of the GDPR. Access to your dataset is limited to what is necessary for the model to function and is not shared with third parties for commercial purposes.

Who oversees the algorithms

The models are periodically revised based on their actual performance. Each recommendation is presented with the underlying numerical reasoning, so that you as a user can check the logic instead of having to accept advice without explanation.

How quickly can I start

The connection with your accounting or banking environment is designed to complete in under 60 seconds. An initial analysis is generated immediately after connection, without waiting for implementation or onboarding by an external team.