The core of your talent pool
Consolidate every resume and applicant profile into a single AI database. Search semantically, rediscover past applicants, and never lose a great candidate ever again.
What an AI-native database enables
Most companies sit on a goldmine of past applicants but can't search it effectively. We make your historical data your most powerful sourcing tool.
Semantic Concept Search
Find candidates based on the actual work they've done, not just the keywords they chose to include on their resume.
Auto-Enrichment
The AI continuously scans public web data to update old resumes with a candidate's most recent promotions and skills.
Flawless Data Extraction
Extract structured JSON data—names, dates, skills, education—from the messiest, most complex PDF layouts with zero manual entry.
Silver Medalist Matching
When you open a new requisition, the database automatically surfaces runners-up from past roles who perfectly fit the new requirements.
Why your database matters
Most recruiting teams spend fortunes on LinkedIn Recruiter to find talent that is already sitting dormant in their own ATS or shared drives. A properly structured resume database turns a static archive into a proactive sourcing engine.
Built for high-volume teams
The smartest talent teams look inward before they look outward.
Sourcers
Run complex semantic queries against a proprietary dataset of interested talent before buying ads.
Recruiters
Instantly rediscover strong candidates who narrowly missed out on a previous role, knowing they already like your brand.
HR Operations
Ensure all candidate data is centralized, securely stored, and compliant with local data privacy regulations.
"We had 50,000 old resumes sitting in a shared drive doing nothing. ForceHQ parsed them, updated them, and turned it into our primary sourcing engine overnight."
Questions, answered
How does the database ingest resumes?
You can drag and drop bulk folders, forward emails, connect an existing ATS, or give candidates a direct upload link. The AI automatically parses and categorizes everything.
Can it parse complex or poorly formatted PDFs?
Yes. Our ingestion engine uses advanced OCR (Optical Character Recognition) and spatial layout analysis to extract data from multi-column PDFs, image-based resumes, and obscure formats.
How does the semantic search work?
Instead of searching for the keyword 'Python', you can search for concepts like 'built scalable backend APIs'. The AI understands the context of the work experience and retrieves relevant profiles even if they don't contain exact keyword matches.
Does it update out-of-date resumes?
Yes. Our Auto-Enrichment feature cross-references old resumes with public profiles (like GitHub and LinkedIn) to update the candidate's current title, skills, and tenure automatically.
Does it support data privacy requirements?
Yes. The database includes configurable data retention policies, candidate deletion workflows, and secure access controls to help you meet your data privacy requirements.