TalentBrowser: Powered by DataScava
DataScava evolved from TalentBrowser, a product we originally built to solve the overwhelming challenge of efficiently automating matching large volumes of tech resumes to jobs in our demanding NYC financial clients. Our experience led us to patent an approach that provides heuristic techniques and structured control over unstructured text, eliminating ambiguity and guesswork.
We stripped away TalentBrowser’s recruitment-specific functions and built DataScava as a standalone solution for any industry. Unlike NLP-based approaches or vector search, DataScava doesn’t attempt to interpret or generate meaning—instead, it provides user-controlled, deterministic domain-specific filtering and categorization.
How It Works
Automated Skills Analytics, Domain-Specific Search, and Talent Matching
TalentBrowser leverages DataScava’s patented unstructured data mining technology to transform raw text from profiles, resumes, job descriptions, and more into actionable insights. Whether as a standalone solution or integrated with your existing systems, TalentBrowser pinpoints, measures, and matches the skills, experience, and roles of your in-house talent, job applicants, and previously-sourced candidates—automatically, in real time, and always keeping the Human in Command.
With TalentBrowser, you can unlock new value for People Analytics, Talent Acquisition, Workforce Planning, Resource Management, and other Human Capital Management initiatives through Weighted Topic Scoring and other metadata generated by our tools.
Go to TalentBrowser Website to Learn More
Automated Skills Analytics
TalentBrowser uses sophisticated algorithms to generate millions of Weighted Topic Scores and visible metadata from resumes, profiles, and other text. These scores reveal detailed insights about each individual’s:
- Skills
- Roles
- Experience
- Education
This empowers your team to uncover the value of incoming applicants, previously sourced candidates, and existing staff—unlocking potential you didn’t know you had.
Domain-Specific Search
TalentBrowser is powered by DataScava’s Domain-Specific Language Processing (DSLP) and Tailored Topics Taxonomies (TTT). Together, these technologies enable:
- Real-time import, selection, editing, creation, and refinement of topics of interest.
- Weighted and customized search capabilities to mine resumes, profiles, and jobs.
- A precise and explainable alternative—or adjunct—to traditional Natural Language Processing (NLP).
Patented Weighted Matching
By leveraging Weighted Topic Scoring (WTS), TalentBrowser ensures:
- Accurate matching of candidates to roles based on user-defined priorities.
- Visibility into the matching process through explainable scoring metrics.
- Enhanced decision-making for your team, with tools designed to keep the Human in Command.
Applicant Tracking System
TalentBrowser includes a standalone Applicant Tracking System (ATS) featuring:
- Automated Skills Analytics for detailed candidate evaluations.
- Domain-Specific Search for precise and tailored talent mining.
- Talent Matching to identify the best fit for every role.
TalentBrowser’s ATS integrates seamlessly with existing talent solutions and business intelligence tools to maximize your HCM strategy.
Our Approach
TalentBrowser draws its strength from DataScava’s core technologies, ensuring unparalleled precision and flexibility:
Tailored Topics Taxonomies (TTT): Capture and refine your organization’s unique business language.
Domain-Specific Language Processing (DSLP): Process text based on your defined criteria, delivering results that reflect your expertise.
Weighted Topic Scoring (WTS): Rank and prioritize candidates with measurable and explainable metrics.
Discover how TalentBrowser, powered by DataScava, transforms talent management with cutting-edge analytics and tailored solutions.
A Job-Candidate Match
Color-Coded Highlighted Resume Topics
Taxonomies for Financial and IT Domains
Tailored Topics Taxonomies (TTS)
Domain-Specific Language Processing (DSLP)
