Application and integration

Application and integration

At kiresult we have set ourselves the goal of making artificial intelligence user-friendly. Our algorithms solve problems in the field of data preparation and data quality.

For a continuing benefit, these problems should not even arise. Therefore, we want to let kiresult be effective during operation of data-driven processes. Based on this motivation we have developed two ways to use our solutions more effectively.

At kiresult we have set ourselves the goal of making artificial intelligence user-friendly. Our algorithms solve problems in the field of data preparation and data quality.

For a continuing benefit, these problems should not even arise. Therefore, we want to let kiresult be effective during operation of data-driven processes. Based on this motivation we have developed two ways to use our solutions more effectively.

The video shows an example for the classification of a category based on an order text. The prediction is relying on the historical data of a company and ensures consistency of data quality.

ai-Toolbox

The ai-Toolbox is our Software-as-a-Service offer for using our algorithms in practice. All functionalities can be accessed intuitively and without previous knowledge within a modern user interface.

This enables us to provide customer-specific solutions in an infrastructure managed by kiresult. The security of customer data has top priority and fulfils highest standards.

The video shows an example for the classification of a category based on an order text. The prediction is relying on the historical data of a company and ensures consistency of data quality.

 

ai-Toolbox

The ai-Toolbox is our Software-as-a-Service offer for using our algorithms in practice. All functionalities can be accessed intuitively and without previous knowledge within a modern user interface.

This enables us to provide customer-specific solutions in an infrastructure managed by kiresult. The security of customer data has top priority and fulfils highest standards.

Directly integrated to your system

We know that system-breaks should be avoided to increase process efficiency. That is why we go one step further with our integration solutions.

We want to optimize existing processes and support or even automate data-driven decisions. Therefore kiresult can be integrated into your existing systems (e.g. SAP, procurement platforms, etc.). This enables you to use our algorithms in your existing systems.

The video shows the integration of kiresult during the creation of an order in SAP. In the background the algorithms evaluate entered parameters and return a proposal for the category.

The video shows the integration of kiresult during the creation of an order in SAP. In the background the algorithms evaluate entered parameters and return a proposal for the category.

 

Directly integrated to your system

We know that system-breaks should be avoided to increase process efficiency. That is why we go one step further with our integration solutions.

We want to optimize existing processes and support or even automate data-driven decisions. Therefore kiresult can be integrated into your existing systems (e.g. SAP, procurement platforms, etc.). This enables you to use our algorithms in your existing systems.

Do you require more details?

We can provide further information by e-mail.

We offer a free feasibility check, where we identify your data potential and develop initial ideas.

  • Initial call

    In a first exchange we discuss your needs. We will contact you to find a suitable time.

  • Analysis

    We check the quality of your data structures and derive suitable use cases for our algorithms.

  • First results

    We present your identified potentials. Then we define next steps for implementation.

Do you require more details?

Receive further information by e-mail.

We offer a free feasibility check, where we identify your data potential and develop initial ideas.

  • Initial call

    In a first exchange we discuss your needs. We will contact you to find a suitable time.

  • Analysis

    We check the quality of your data structures and derive suitable use cases for our algorithms.

  • First results

    We present your identified potentials. Then we define next steps for implementation.