DataScava

DataScava pinpoints valuable unstructured text data with precision using your unique business and domain-specific language. Leverage your own expertise to access precisely tailored data for AI, LLMs, ML, RPA, BI, Research, Talent, and BAU applications. Curate, measure, filter, match, label, and route raw text automatically with prioritized Weighted Topic Scoring metadata derived from criteria you define. Keep the human in command with the patented matching technology you control. Our tools enable a more data-centric approach to business applications, with topic models that reflect the primary areas of focus, flexible topic scoring to encode your organization’s priorities, and customized text processing that mirrors the way people actually communicate in the industry. 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). Model and capture features and topics within heterogeneous text using specialized taxonomies you can edit, create, and import to capture your business language and domain expertise, allowing for the highly customized vocabulary and specific business logic necessary for complex document processing. Precisely mine unstructured text from emails, research reports, support tickets, contracts, news stories, transcripts, chats, subscriptions, filings, forms, resumes, profiles, surveys, notes, and more — based on intents, interests, priorities, and relevance. TalentBrowser powered by DataScava gets the most from your resumes and profiles. It generates metadata about skills, roles, experience, and more to use in Talent Matching and People Analytics. Automated Skills Analytics, Job Matching, and Domain-Specific Search let you use your business language and domain expertise to gain insight into existing staff and new or previously-sourced candidates, and match them across needs automatically.