Over the past decade, Brian Raymond and the founding team of engineers at Unstructured Technologies have been navigating a consistent challenge in the natural language processing (NLP) space: clients eager to dive into AI/ML solutions, but hindered by the frustrating reality that their data was trapped in unusable formats. This common pain point became the driving force behind the creation of Unstructured, a company focused on solving the data preprocessing problem that has plagued the industry for years.
Data Bottlenecks in NLP
The world of data science has long been held back by a persistent challenge in NLP: preparing unstructured data for machine learning models. Data scientists were continuously forced to build bespoke, one-off data connectors and preprocessing pipelines to make
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