DataScava is an unstructured text data mining tool for data, business, and IT teams. It uses your business language, subject matter expertise, and our patented matching technology to get the high-value data you need for use in applications in AI, ML, RPA, BI, Research, Operations, Talent, and more. DataScava is an easy-to-use tool for modeling and capturing features and topics within heterogeneous text using your organization’s taxonomy and a rules-based approach, which allows it to be highly customized around your vocabulary and for the design of specific business logic necessary for complex document processing. Drastically reduces the time it takes to accurately curate, search, filter, match, label, tag, and route raw unstructured textual content. Our proprietary Domain-Specific Language Processing (DSLP), Weighted Topic Scoring (WTS), and Tailored Topics Taxonomies (TTS) methodologies work as an alternative or adjunct to Natural Language Processing (NLP) and Natural Language Understanding (NLU). Mine unstructured and semi-structured text — from documents, databases, emails, helpdesk tickets, contracts, reports, articles, transcripts, chats, subscriptions, filings, forms, resumes, surveys, notes, and other sources — based on intents, interests, priorities, and more. Ease of use and transparency enable collaboration between non-technical and technical people, providing a rapid path to efficiency. TalentBrowser is Automated Skills Analytics, Job Matching, and Domain-Specific Search software powered by DataScava. It helps you use your business and domain language to find top talent you already have and filter incoming candidates automatically across all jobs. It is an enabling technology that works alone or with your Job Board, database, ATS, or other solutions behind-the-scenes to get the most from your resumes and profiles. Visit our website to learn more.