An image representing the data analysis dashboard of Raiden AI App 320

AI turns idle surplus funds into strategic assets.

Raiden AI App 320 is a next-generation data intelligence platform that learns your risk tolerance and supports decision-making based on optimal data analysis in real time.

Try a free demo
Current issues

Why is “unused funds” a risk?

In the modern business environment, market fluctuations are faster than ever. Fund management that relies on manual data analysis and intuition not only results in opportunity loss but also incurs hidden risks.

Raiden AI App 320 analyzes vast amounts of data in real time and enables grounded decision making. The purpose is to shift from a state in which many decisions depend on people's experience and senses to a process that is reproducible.

Image of the work environment used by the Raiden AI App 320 analysis team
Development concept

Aiming for explainable AI that can be used by small businesses

Raiden AI App 320 is not just a scaled-down version of a complex tool for large enterprises. It is designed with the premise that it can be used by small and medium-sized enterprises that make business decisions with limited personnel and understand the rationale.

Recommendations provided are always accompanied by the type and weight of data used to make decisions. Rather than just accepting the conclusion as a black box, we place emphasis on being able to confirm why the conclusion was reached.

How it works

How does AI learn and support decisions?

01

Personalized risk learning

AI deeply learns a company's financial situation and tolerances and builds a unique investment and operating model. Since the optimal decision criteria differ depending on the industry and cash flow characteristics, we do not apply a general-purpose model as is.

02

Real-time predictive analysis

Instantly process millions of data points to predict future market trends and cash flows. By combining past patterns and current movements, we constantly update the numbers that serve as the basis for our decisions.

03

Adaptive decision engine

Automatically adjust recommendations as circumstances change to maintain optimal portfolio balance at all times. If the prerequisites change, we will clarify the changes and update the recommendations.

process

Four stages from implementation to continuous improvement

1

Data linkage

Securely integrate existing financial data and market metrics.

2

Learning and analysis

AI matches past patterns with current risk tolerance.

3

Optimization proposal

Present a concrete action plan and expected results.

4

continuous improvement

Feed back the execution results and self-reinforce the analysis accuracy.

Usage example

How is it used in small and medium-sized enterprises?

retail industry

Optimization of cash flow that is subject to seasonal fluctuations

You can predict the demand for funds, which changes significantly between busy and off-season periods, and know in advance when there will be excess or shortage.

startup

Low-risk operations using internal reserves

For funds that you do not plan to use for the time being, we will present candidates for investment within an acceptable risk range.

manufacturing industry

Data supporting the timing of capital investment

You can visualize the demand forecast and cash position that form the background of investment decisions, and use it as explanation material at management meetings.

Frequently asked questions

Things to check before installing

How reliable are AI suggestions?

Raiden AI App 320 uses a multi-layered validation model, combining backtesting with past market data and current real-time data to ensure accuracy. Recommendations will clearly state the scope of data on which the decision is based.

What is the security system like?

We use financial institution-grade encryption and strict data isolation protocols to protect your confidential information. Access privileges can be set for each user.

How much preparation time is required for implementation?

It depends on how it works with existing accounting data and market indicators. First, you can check the integration method according to the data format you have in the free demo.

Secure the future of your business with smart data usage.

In just a few minutes, you can start running the perfect operational simulation for your business.

Get started for free now