Case Study: an Austria-based startup achieves semantic text mining at scale with Intellias NLP platform

Text Mining NLP Platform for Semantic Analytics

Intellias partnered with an Austria-based startup that had developed a novel semantic fingerprinting technology for natural language processing. The client's challenge was to scale up their development to build a prototype of their language-agnostic semantic engine. This text mining NLP platform needed to perform real-time, meaning-based filtering, topic detection, and semantic search across massive volumes of unstructured text data.

The solution implemented by Intellias was a horizontally scalable text analytics platform that encoded language semantics into binary code for analysis. This allowed for advanced text filtering, classification, and search. The results for the client were significant; they acquired new investors and raised $2 million in capital. Intellias also helped implement RESTful APIs on the AWS marketplace and developed a real-time filter to monitor customer reactions on Twitter through semantic fingerprints.