Ontology-Driven Classification, Text Mining, and Enterprise Search software

Software that captures the essence of enterprise knowledge, diving deep into both structured and unstructured data.

Technologies used

+JSON-LD, TypeScript, C++, React Bootstrap

Comprehensive Knowledge Analysis: The software captures the essence of enterprise knowledge, diving deep into both structured and unstructured data. By unveiling hidden facts and relationships, it enriches the capabilities of mainstream AI, pushing the boundaries of what's possible.
Intelligent Classification at Fingertips: Through automated and assisted mechanisms, the system eradicates the need for manual tagging. It generates precise, consistent metadata effortlessly, laying a robust foundation for downstream systems to leverage.
Fact Extraction: Extracts key data points from content for analysis and predictive analytics.
Uncover Deeper Meanings: The sophisticated AI, bolstered by machine learning and natural language processing (NLP), penetrates the surface of information to discern sentiment, context, and significance, unlocking valuable insights.
Enhanced Navigational Search: Empower search with model-based concepts, offering instant and relevant results through type-ahead features and natural language queries.
Boost Customer Support Efficiency: Equip customer support with the tools to find pertinent information swiftly, ensuring first-contact resolution and unparalleled service quality.
Safeguard Intellectual Property: Utilize cutting-edge document fingerprinting technology to identify and protect sensitive content and trade secrets from unauthorized access.
Streamlined Model Development: The software simplifies model and classification strategy creation with lexical enrichment, NLP, and machine learning.
Elevate Productivity through Automation: Automation capabilities seamlessly integrate into business workflows, processing routine operations and elevating exceptions to human oversight.
This is on-going product development that started a few years ago and involves multiple software developers, devops engineers, and testers.

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