Prechelon's data factory employs natural language processing (NLP) and machine learning (ML) to generate high-value explanatory and predictive real-world event data. Our data capabilities help clients extend existing algorithms to improve context learning, augment decision intelligence, generate proprietary signals, or automate higher-value knowledge processes.
Prechelon uses internal and external data wranglers to acquire unstructured data. An agile intelligence architecture scales alongside the anticipated growth in unstructured data types.
2.5 exabytes of data gets produced daily. The pace is accelerating. We pre-process using natural language processing (NLP) to extract, disambiguate, and classify entities (e.g. people, places, things, other).
Prechelon uses our proprietary and learnable data representation to generate an understanding of real-world event relations, dependencies, and future likelihoods.
Bespoke natural language and machine learning capabilities designed to exploit our expert representation so users have compounding data intelligence to power more explanatory current real-world event context generation.
Machines can understand and infer connections in more dimensions at a greater horizon than humans. Our enrichment, representation, and reasoning capabilities give users dynamic high-value internally generated data to generate future event likelihoods.
Divergence, myths, archetypes, and stories are how we organize the world. Everyone wants to know where the narrative is going and how it ends. Prechelon's internally generated data feeds high-value signal and knowledge generation opportunities.