GoCORA - GOGU Systems GmbH

Without GoCORA

With GoCORA

Only required information is forwarded

GoCORA evaluates incoming information against predefined and transparent criteria before any cost-intensive processing. The advantages:

Fewer model, analysis, and workflow calls
Defined mandatory cases are fully passed through
Downstream systems process a significantly smaller volume
Selection and order of processing remain transparent

goCORA

Only process what is actually needed

GoCORA is an upstream control and ranking component that uses defined criteria to determine which information is passed on and in what order it is processed.

Defined mandatory cases are fully preserved. Downstream systems only process the exact volume of data required for the specific result.

Check use case

You pay for everything you process

AI, analytics, and workflow systems often process every piece of incoming data. This creates costs for information completely irrelevant to the final result.

The economic impact: Companies pay for more processing power than they need. GoCORA intercepts the data first—stopping these costs before they happen.

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How GoCORA controls what is processed

Prior to cost-intensive processing, GoCORA checks which information is required for the desired result.

The result: Less information reaches the cost-intensive downstream processing. This reduces costs and processing times, while defined mandatory cases are fully preserved.

Directly in front of cost-intensive downstream systems

GoCORA is integrated as an upstream component into existing processing chains. Existing AI, analytics, and workflow systems remain in place and continue operating as before. However, they now only receive the information designated for the respective downstream processing according to the defined criteria.

GoCORA does not change the function of these systems. It simply limits and organizes their workload.

Real-world example: 5,000,000 results analyzed - only 20,000 processed further

In a customer process, around 5,000,000 results were analyzed daily.
Only 20,000 data records subsequently led to further business processing.
This magnitude demonstrates the potential of GoCORA: A large portion of the data volume could be deferred or excluded before cost-intensive downstream processing.
Exactly how many events do not actually need to be passed on, and the resulting economic benefit, is demonstrated in the pilot.

The benefit is measured - not estimated

In a clearly defined pilot process, your current processing is compared with GoCORA. We measure:

How much does the passed-on data volume decrease?
Are all defined mandatory cases preserved?
How do processing times and resource consumption change?
Which costs are avoided after deducting the GoCORA overhead?

Ultimately, this results in a reliable decision regarding productive use.

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For controlled enterprise use

Open Source

The source code is accessible and independently verifiable.

Usable without internet connection

No external internet services are required for ongoing operations.

Deterministically controllable

The behavior is controlled by defined criteria.

Operable on-premises

GoCORA can be operated within your own infrastructure.

Integrable into existing systems

Existing AI, analytics, and workflow systems remain in place.

Data privacy compliant

Controlled local operation supports the implementation of GDPR requirements.

Before you build up additional computing power, models, or infrastructure, you should assess how much processing GoCORA can already avoid.

Achieving efficiency together: Share your use case with us

Which of your systems is currently processing more data than it actually needs to deliver its results? Let's take a closer look at that exact scenario.

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