TalentBrowser: Where DataScava Began
TalentBrowser is the original application of DataScava’s patented technology — created to solve the overwhelming challenge of matching large volumes of technical resumes to jobs for NYC’s most demanding financial clients. That work led us to patent a precise, explainable approach to mining unstructured text — structuring, measuring, filtering, and curating without requiring training data or manual labeling.
What TalentBrowser Does
Powered by the same patented methodologies as DataScava, TalentBrowser transforms unstructured resumes into structured, explainable insights:
Automated Skills Analytics | DSIndex
Processes unstructured resumes into structured, searchable skills and experience data.
- Surfaces key results instantly.
- Eliminates ambiguity in resumes.
- Creates structured metadata for efficient search.
Domain-Specific Search | Domain-Specific Language Processing (DSLP) and Tailored Topics Taxomonies (TTT)
Define or import skills, experience, and role taxonomies that reflect your firm’s hiring logic.
- Build taxonomies tailored to your business.
- Capture domain-specific expertise.
- Continuously refine to meet evolving hiring needs.
Patented Weighted Matching | DSMatch | Weighted Topic Scoring (WTS)
Filter and match candidates with precision, based on your defined priorities.
- Apply weighted topic thresholds for relevance.
- Multi-level rank and sort across skills and roles.
- Color-coded highlights explain why a candidate matches.
These capabilities remain at the heart of TalentBrowser for recruiting — and also serve as the foundation of DataScava’s wider applications across industries.
From TalentBrowser to DataScava
While TalentBrowser continues as a dedicated solution for recruitment and skills analytics, DataScava extends the same patented methodologies to AI, BI, RPA, and beyond — giving every industry the ability to mine unstructured data with precision, transparency, and control.
For a deep dive into TalentBrowser’s capabilities, visit the TalentBrowser website.