AI-powered resume ranking with explainable reasoning
Stage
Established
Startup
Founded
2010
Not given
Based in
US
Not given
Pricing model
Freemium
Not given
Pricing
Hiring: Companies pay 25% of average posted monthly salary at job posting, employees pay 25% of final monthly salary within 30 days of acceptance. Platform takes 12.5% with 12.5% going to referral bounties. Stripe processing costs are 2.9% and disclosed before payment. Operators: Companies get 3 cou
Free: 50 credits/month with access to all features. Starter: $19 one-time for 1,000 credits. Pro: $50 one-time for 5,000 credits. Business: $100 one-time for 15,000 credits. Custom: volume pricing available for enterprise. All purchased credits never expire.
Key features
Bounty-driven referrals to mobilize networks for hiring
Structured video profiles for candidate introductions
Career Rank Score measuring candidates by experience and peer feedback
AI-assisted interviews with real-time prompts and analysis
Collaborative voting and commenting on candidates
Real-time team chat and built-in communication
SAI assistant for job descriptions, salary benchmarks, and company operations
Sorcrr Market for service discovery across 17 verticals
Sorcrr Books for financial tracking and operating data
Applicant tracking system and unified candidate workflows
Bulk resume ranking against job descriptions
AI reasoning for every scoring decision
Semantic experience fit analysis
Ranked leaderboard with sorting and filtering
Single resume vs job analysis
Matched skills and gap analysis
Document Q&A for PDFs and text files
Support for PDF, DOCX, and TXT files up to 10 MB
CSV export functionality
Priority processing and support options
What makes it different
Bounty-driven referrals that reward networks for making successful hires
Video-first approach for candidates to showcase personality beyond resumes
Career Rank Score provides deterministic, evidence-based candidate assessment
AI woven throughout the platform, not added as an afterthought
All hiring, communication, and operations in one unified platform
Evidence-based semantic scoring instead of keyword matching
Full reasoning provided for every scoring decision