Next-Gen Recruitment Intelligence

Automated Hiring
Redefined by AI.

Leveraging **Proprietary Neural** state-of-the-art models for proctored interviews, deep resume analytics, and automated candidate ranking.

Explore Semantic AIEcosystem Capabilities

Experience the
Semantic Engine.

Our `all-mpnet-base-v2` model transforms raw text into multi-dimensional vectors. Watch how it bridges the gap between intent and keywords.

Contextual Understanding

"Frontend Architect" ↔ "UI Specialist"

Similarity92.4% Match

Skill Extraction

Extracting: React, Node.js, MongoDB...

Semantic ParserNLP
Embedding Space
Visual Vector Map
React.js
UI/UX Dev
Inference Confidence
92.4%
SIMILARITY SCORE
AI
Processing Vector dim: 768
Live Sync

Conversational
Intelligence.

The **Llama-3-8B-Instruct** model acts as the primary orchestrator. It manages the interview flow, adapts to candidate responses, and transitions seamlessly between technical skills.

Adaptive Context

Maintains 8,192 token window for deep multi-turn memory.

Skill Progression

Automated transitions based on response quality analysis.

Live Monitoring
⏱
08:42:15
Signal
Llama-3 Thought

> Analyzing tone...

Detected: Confidence

> Advancing difficulty

Gaze Deviation
👤
🤖
Adaptive Inquiry

"Explain the trade-offs between Client-Side Rendering and Server-Side Rendering in modern web architectures."

80%
Logic
35%
System
🎙️

Ecosystem Capabilities

Our multi-modal approach integrates computer vision, NLP, and deep learning for a robust hiring platform.

Conversational AI

Autonomous interview execution with dynamic feedback and semantic understanding of candidate responses.

Llama-3Neural Core

Vision Proctoring

MediaPipe-powered behavioral analysis detecting eye movement, head position, and presence of multiple subjects.

Face MeshReal-time

Semantic Ranking

Intelligent candidate ranking using cosine similarity between job requirements and resume embeddings for context-aware matching.

all-mpnet-base-v2Vector Search
NEURAL STATUS • REAL-TIME AI • PERFORMANCE •
0ms

Inference Latency

0%

Neural Precision

0M

Vector Nodes

0%

Global Uptime

The ReAnalytics
Intelligence Workflow.

From resume upload to executive insights, our end-to-end pipeline leverages state-of-the-art neural models to streamline your hiring process.

01

Resume Analysis

Proprietary parsing of PDF/Docx files using neural OCR and semantic extraction.

02

Semantic Matching

Vector-based comparison between candidate skills and job requirements.

03

AI Interviewing

Autonomous Llama-3 powered technical screening with adaptive questioning.

04

Vision Proctoring

Real-time MediaPipe behavioral analysis for gaze and presence monitoring.

05

Ranked Insights

Comprehensive candidate performance dashboards with automated ranking.

Executive Dashboard

Multi-Dimensional
Performance Analytics.

Our platform consolidates millions of data points into actionable insights. Recruiter dashboards provide real-time ranking based on technical skill, behavioral integrity, and logic assessment.

85%
Time Reduction
12k+
Profiles Analyzed
SESSION_LIVE: 00:15:42
NEURAL_RANKING_SCORE: 92.4%
Performance ROI

Efficiency & ROI.

Measurable performance impact of the ReAnalytics intelligence engine compared to traditional manual hiring methods.

Legacy Methodology
Manual Screening
14 Days
Neural Acceleration
ReAnalytics Intelligence
12 Minutes
0%
Operational ROI
0x
Throughput Velocity

Intelligence that
scales with Integrity.

ReAnalytics eliminates cognitive fatigue and unconscious bias by processing candidate data through a mathematically consistent neural framework. We don't just find talent faster; we find the *right* talent every time.

Zero-Bias Neural Ranking
Sub-500ms Decision Latency
End-to-End Encryption
Technical Knowledge Base

Frequently
Asked Questions.

Explore the underlying technology and architectural decisions that power the ReAnalytics recruitment ecosystem.

Our engine uses a combination of **Layout-LM** and proprietary vision models to understand document structure. It doesn't just read text; it identifies multi-column layouts, tables, and nested skill hierarchies with over 98% accuracy, even in highly creative or non-standard resume formats.
The **MediaPipe** node monitors 468 facial landmarks to detect: - Continuous gaze deviation (eye-tracking) - Presence of unauthorized persons - Suspicious audio signatures or background speech - Window-switching and clipboard activity tracking
Our orchestrator uses **Llama-3-8B-Instruct** to dynamically generate questions based on the candidate's specific resume and the job description. It adapts in real-time—if a candidate answers a question with high proficiency, the model shifts to more advanced topics to find their ceiling.
Yes. ReAnalytics provides a robust **RESTful API** and webhooks for seamless integration with popular platforms like Greenhouse, Lever, and Workday. Results, recordings, and ranking scores are pushed automatically as soon as a session is finalized.

Still have questions about our technology?

Contact Technical Support
Get in Touch

Let's build the
Future.

Ready to transform your recruitment intelligence? Our team is standing by to help you integrate ReAnalytics into your enterprise workflow.

Email Us
hello@reanalytics.ai
Global HQ
San Francisco, CA