Case Study: Holocene streamlines PDF entity labeling and ML training with UbiAI

Holocene - Customer Case Study

holocene, a cutting-edge logistics and supply chain management platform, faced a significant challenge in training its machine learning algorithms. The company relied heavily on time-consuming manual labeling of entities within PDF documents, a process that was both resource-intensive and hampered by the low performance of available tools. holocene needed a solution to reduce costs and increase the efficiency of this crucial task.

The company partnered with UBIAI to address this challenge. UBIAI's platform provided a user-friendly solution with a quick setup, allowing holocene to begin labeling documents in under an hour. The tool's features, including OCR support and auto-labeling, streamlined the workflow and enabled the direct training of NLP models with minimal data conversion. As a result, holocene achieved a significant improvement in efficiency and resource allocation, saving considerable time and effort in developing its custom models.

Holocene