CodeOrigin InterviewIntelligence™
"High-fidelity candidate assessment through multi-modal LLM orchestration and biometric sentiment analysis."
Security Tier
Bank-Grade
Deployment Reach
99.9% Uptime
Scaling Engine
Cloud Native
System Architecture
A production-grade technical screening platform designed for high-volume engineering recruitment. Built on a distributed microservices architecture using Go and Python, the system leverages fine-tuned GPT-4o models and custom RAG (Retrieval-Augmented Generation) pipelines to conduct deep-dive technical evaluations. It integrates real-time IDE synchronization, automated code quality scoring via static analysis, and behavioral analysis to provide a comprehensive 360-degree candidate profile. Deployed on AWS EKS with auto-scaling capabilities to handle global enterprise demand while maintaining sub-200ms latency for real-time interactions.
Multi-modal LLM Interviewer with low-latency WebSocket communication for natural conversation flow.
Real-time collaborative IDE supporting 25+ languages with automated unit test execution and cyclomatic complexity analysis.
Biometric sentiment and engagement tracking using TensorFlow-based computer vision models.
Automated RAG-driven technical question generation mapped to specific internal engineering rubrics.
SOC2-compliant data encryption and automated PII masking for candidate privacy and GDPR compliance.
Native ATS integration for Greenhouse
Lever
and Workday via high-throughput RESTful APIs and Webhooks.
Deploy Elite
Proprietary Systems
Architected for industrial performance, zero-latency execution, and absolute data integrity. Request enterprise licensing now.