ubiai deep learning
Holocene case study
Case Study

Holocene

Empowering companies big and small

Overview:

Holocene is a cutting-edge logistics and supply chain management platform that utilizes advanced Machine Learning and AI technologies to streamline the transportation of goods across international borders.

 

By leveraging the power of data analytics and real-time information, Holocene enables businesses to improve their efficiency and reduce their operational costs.

Whether it’s managing shipments, optimizing warehouse operations, or providing comprehensive tracking and visibility, Holocene is designed to simplify the complexities of global trade.

 

With its innovative approach and powerful capabilities, Holocene is rapidly transforming the way companies manage their supply chain operations and ensuring that they stay ahead in today’s highly competitive marketplace.

Case Study: Holocene

Problem:

Holocene faced a challenge in their workflow as they heavily depend on PDF documents for international trade. To train their Machine Learning algorithms, labeling entities on PDFs is a crucial yet time-consuming task that requires significant resources.

 

Holocene has been exploring solutions to reduce costs and increase efficiency. However, they have encountered several obstacles, including the low performance of available tools and the lengthy setup process required before labeling entities on documents can begin.

Solution:

Holocene has found a solution to their labeling challenges by partnering with UBIAI. With UBIAI’s user-friendly platform and quick setup process, Holocene was able to start labeling documents in under an hour.

 

Moreover, UBIAI’s platform allowed Holocene to train NLP models directly on labeled data with minimal data conversion steps. The platform also provided Holocene with a variety of labeling options, including OCR support and an auto-labeling feature, which further streamlined their workflow.

 

Thanks to UBIAI, Holocene can now efficiently label their documents and improve the performance of their Machine Learning algorithms.

Holocene Case study

After Using UBIAI:

After integrating UBIAI’s tools, Holocene has experienced a significant improvement in their efficiency and resource allocation. They have been able to quickly and effectively train their custom NLP models while saving time and effort.

 

According to the Head of Technology at Holocene, UBIAI’s platform offers the perfect balance of flexibility and convenience when it comes to labeling textual data. The platform has been instrumental in helping Holocene streamline their labeling process, and the team is pleased with the results.

Proud to show how well
our users see us.

We keep shining all over! Named High Performer for

two season on a row!

If you’re looking for a tagging platform on NLP projects, UBIAI probably has all the features you need. lt supports many document types and multiple OCR engines. It’s super simple and powerful.
annotation tool review

Ihsan S.

Machine Learning Engineer

It is very easy to work with. A couple of things that draw me to UBIAI are that it could accept data in a LOT of formats (even including PDFs!).

Jetson W.

Data Architect

I love this product as this provides amazing support for document classification and named entity recognition. The NLP tasks UI is very intuitively embedded into this product and it is really easy to use.

Jasmeet K.

Data Scientist