Case Studies

Success stories of our partner companies using the Enterprise Knowledge Platform with Hybrid Intelligence

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Case Study

A Top 20 US Bank’s Journey with Cognaize’s Enterprise Knowledge Platform

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Challenge

In the intricate domain of credit lending, a leading US bank aimed to redefine its approach to automating the extraction and improving the downstream analysis of vast amounts of unstructured data.

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Objective

Their objectives were clear: enhance risk assessment models and operational efficiency within their credit lending division, a 25% reduction in operational costs, and a proportional increase in processing volumes.

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Implementation

Adopting Cognaize’s AI Platform, equipped with a comprehensive suite of SaaS applications, offering a forward-thinking solution. This platform promised to unlock the potential of vast amounts of unstructured data, providing deeper insights and driving efficiencies Cognaize’s ‘Enhanced Layout Understanding’ capability refined through the annotation of millions of financial tables, means the solution can interpret and organize information just as a human would, but with the speed and accuracy of AI.

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Results

The results far exceeded expectations:

Fast implementation:
It took 4 days for model deployment and the final platform implementation on the client's cloud.

Cost efficiency:
Operational costs were slashed by an impressive 66%, demonstrating a leap in financial efficiency.

Processing capacity:
The volume of data processed surged by 150%, illustrating the platform's capability to handle increased workloads without compromising on quality.

Data precision & client satisfaction:
While specific improvements in risk coverage remain confidential, the bank has observed a marked enhancement in data accuracy and customer satisfaction, indicating a positive impact on its overall business strategy.

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Case Study

How an International Transportation Finance Bank Achieved 98% Accuracy

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Challenge

In the fast-paced world of international transportation finance, precision and speed in document processing are paramount. A European bank faced these challenges head-on, seeking intelligent document processing (IDP) solutions.

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Objective

Facing these challenges, the bank had the goal to enhance the accuracy and efficiency of their document annotations in the competitive landscape.

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Implementation

The bank aimed to improve its document annotation process, which was critical for maintaining regulatory compliance and making informed financing decisions. They turned to Cognaize for a solution that promised not only to improve accuracy but also to deliver rapid results.

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Results

The collaboration with Cognaize led to remarkable improvements:

Accuracy:
Leveraging Cognaize's advanced AI technologies, the bank achieved a leap from 93% to 98% accuracy in the annotation of financial documents, processing about 5,000 files. 71% increase in model accuracy underscores the solution's ability to provide top-quality data insights.

Speed:
The average time required for annotating a complete document was cut by 25%, from 55 minutes to just 40. This efficiency gain, observed after just one month of using Cognaize, exemplifies the system's ability to significantly reduce analyst workload and streamline operations.

98% accuracy achieved
+25% increase in operational speed of one full document
>5000 financial files annotated within a month

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