INDIWORKSENTERPRISE RECRUITMENT
Enterprise Applicant Tracking & Neural Candidate Ranking

Enterprise Hiring Platform for Companies & Job Seekers

Upload job descriptions, collect applicant resumes, and automatically rank top candidates using hybrid semantic vector scoring. Built for enterprise teams competing with Ashby, Greenhouse, Lever, and Workday.

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✓ Honeypot Guard active✓ ATS Integration Sync✓ Zero bias audit certified

Live Application Telemetry

97% Match
Requisition: Staff AI Engineer48 Applicants

Uploaded Job Description parsed successfully.

Top Rank: Dr. Evelyn Vance97% Match

PyTorch, CUDA, vLLM, MIT Ph.D.

Simple 3-Step Process

How Enterprise Indiworks Operates

1

1. Companies Post Job Requisitions

Enterprise recruiters upload raw job descriptions, specify required skill competencies, and set importance weights.

2

2. Candidates Submit Resumes

Applicants submit resumes (PDF/Word). The system automatically runs anti-prompt injection honeypot detection.

3

3. Neural Ranking & Shortlisting

The engine evaluates semantic context embedding against exact skill matrices, outputting ranked candidate shortlists.

Algorithm Tuning

Test Neural Candidate Weight Tuning

Semantic Vector Match Weight65%
Structured Criteria Exact Match:35%
Honeypot Anti-Tamper Protection:Active
Top Candidate Match
93% Match

Dr. Evelyn Vance

Principal AI Systems Architect • MIT Ph.D.