Transparent Intelligence.
Official Recruitment Protocol.
AIcruiter is a rule-based hiring intelligence platform designed to bring absolute clarity, transparency, and auditable trust into technical resume screening. No probabilistic black boxes. Just verified deterministic vectors.
The Opaque Algorithm Risk.
Traditional Applicant Tracking Systems (ATS) rely on probabilistic machine learning that inherit historical biases and create "Black Box" rejections. Recruiters cannot explain why a candidate was ranked low, leading to audit failures and missed talent.
AIcruiter utilizes a deterministic, rule-based engine. We provide a full logic trail for every decision, ensuring every shortlisted candidate meets explicit, verifiable criteria without hidden variables.
Our system evaluates artifacts using a predefined skill taxonomy, calculating absolute alignment rather than "predictive guessing."
Analysis Architecture
1. Skill Fit Index (40%)
Extraction of professional skill vectors verified against a global taxonomy of 50,000+ technical markers.
2. Role Alignment (40%)
Computational overlap between artifact vectors and Job Description baseline requirements.
3. Integrity Audit (20%)
Automated detection of "white-fonting," keyword stuffing, and experience duration inconsistencies.
Deterministic Weighting.
Decision logic is open-sourced for internal auditing. Every scan generates a verifiable mathematical proof.
VERDICT_RESULT = (SKILLS × 0.40) + (ALIGNMENT × 0.40) + (TRUST × 0.20)
Signal-to-Noise Ratio
Artifacts are stripped of visual rendering to process raw semantic data layers, removing stylistic bias.
Audit Trail Generation
Every point in the final score is mapped to a specific text snippet within the candidate document.
Enterprise Sectors.
Protocol deployments across the recruitment ecosystem.
Enterprise HR
Process thousands of high-complexity technical applications with absolute legal safety and deterministic filtering.
Staffing Agencies
Provide end-clients with mathematical proof of candidate quality, increasing placement trust and speed.
Agile Scale-ups
Build foundational engineering teams with zero sourcing noise, focusing only on the highest alignment vectors.
Technical FAQ.
Is this an LLM?
No. We utilize NLP for data extraction, but our decision engine is 100% rule-based. This prevents hallucination and ensures every result is mathematically verifiable.
How is fraud detected?
Our protocol scans for hidden text, inconsistent duration claims, and keyword overloading patterns that deviate from standard professional growth trajectories.
Data Privacy?
Candidate artifacts are processed in ephemeral memory. No data is used for model retraining, ensuring total privacy for sensitive enterprise data streams.
Development Roadmap.
V5.0 Deployment
Main-line launch of the Neural Integrity Engine and XAI core.
Direct API Flow
RESTful integration endpoints for Workday and Greenhouse ecosystems.
Multi-Lingual
NLP expansion to non-Latin script vectoring (Mandarin, Arabic, Hindi).
Auto-Sourcing
Autonomous deterministic sourcing logic for passive talent pools.
Request Official Access.
Protocol submissions are processed for Enterprise screening access.
Upload Resume & Analysis
Input candidate vectors for deterministic integrity scan.
Select Document
EXPECTED: PDF / DOCX / TXT
Processing Artifact...
MAPPING_VECTORS