SHAIN applies narrow Artificial Intelligence to workflows defined by a neural word vector network model. Our neural networks are composed of customized data word vector corpus sets. The result is an empowerment of employees by replacing repetitive analytical workloads with Intelligent Automation.
Natural Language Processing
SHAIN applies Natural Language Processing algorithms enabling the analysis and interpretation of text data sets. The result is an accelerated creation of experimental records and analysis of generated data results.
SHAIN‘s algorithms are evolving to reference predefined labels and to update their representations and tasks. As user voice activation, keystrokes and word compositions are detected, deep learning decision boundaries are updated leading to increased accuracy in forming data records.
Syntactic & Semantic Analysis
SHAIN analyzes workflow by syntactic computational analysis and extends the reach of employee record creations. SHAIN is coded with self learning word vector based algorithms that assist employees by accelerating the creation and analysis of scientific documents. Avoid the handling of scattered documents and gain deeper insight from data generated by your workflow.
Word Corpus & Morphology
SHAIN applies scientific word corpus sets and guides activities by framing a scientific method approach. The application of word morphology enables the rendering of data into detailed scientific documents based on a company’s work flow.