AI Hiring Copilot for Evidence-Grounded Shortlisting
Go beyond keyword matching. Understand career trajectories, verify claims, simulate interviews, and produce transparent ranked shortlists with citations.
Understand the Platform in 5 Minutes
The Problem
Traditional ATS systems rely on keyword matching. Recruiters drown in resumes, miss qualified talent, and can't explain why candidates rank where they do.
- Keyword filters miss strong candidates
- No explainability for decisions
- Hours wasted on manual screening
- Hidden bias in hiring pipelines
Our Solution
An AI recruitment intelligence platform that understands resumes deeply, grounds every score in evidence, and gives recruiters superpowers.
- 24+ AI engines analyze every resume
- Every score cites resume proof
- Shadow interviews before real calls
- Transparent, auditable rankings
Key Features
End-to-end hiring intelligence from job description to final shortlist.
- JD Intelligence & Resume Parsing
- Multi-factor Scoring Engine
- Shadow Interview Simulation
- Screening Tests & Interview Packs
- Recruiter Copilot & Analytics
Architecture
Production-grade stack built for scale and explainability.
- Next.js 15 frontend with real-time progress
- FastAPI backend with async workers
- PostgreSQL + Redis + Celery pipeline
- Multi-LLM AI engine layer
Results
Demonstrated impact across the full hiring funnel.
- 91% top candidate fit score
- 60% faster shortlist generation
- 100% evidence-grounded rankings
- 847 candidates processed in demo dataset
24 AI Modules
JD intelligence, skill graphs, hybrid retrieval, shadow interviews
Evidence Grounded
Every score traceable to resume snippets. No unsupported claims.
Batch Processing
Process hundreds of resumes with async queue and progress tracking
Analytics Dashboard
Hiring funnel, score distribution, skill heatmaps