Arya by Leoforce
The world's first AI recruiting assistant that identifies, scores, and engages talent with multidimensional precision.
AI-led technical interviews that automate top-of-funnel engineering screening.
MeetProdigy is a next-generation AI recruitment platform architected to solve the bottleneck of technical interviewing. By deploying autonomous AI interviewers capable of conducting live, conversational coding assessments, it allows engineering teams to screen candidates at scale without manual intervention. The platform leverages advanced LLMs fine-tuned for software engineering concepts, enabling it to probe candidate logic, evaluate code efficiency in real-time, and detect nuances in technical communication. In the 2026 market landscape, MeetProdigy positions itself as an essential infrastructure for high-growth tech companies, moving beyond static multiple-choice tests to dynamic, adaptive technical dialogues. The architecture includes a sandboxed execution environment for real-time code verification and a sophisticated behavioral analysis engine that scores soft skills alongside technical proficiency. Its ability to integrate deeply with existing Applicant Tracking Systems (ATS) and provide data-driven 'Hire/No-Hire' recommendations makes it a primary tool for reducing time-to-hire while maintaining high-quality engineering standards.
LLM-driven logic that adjusts question complexity based on real-time candidate performance.
The world's first AI recruiting assistant that identifies, scores, and engages talent with multidimensional precision.
The AI-First Talent OS for autonomous sourcing and personalized candidate engagement.
Science-backed talent acquisition and automated assessment platform for enterprise hiring.
The audio-first interview intelligence platform for modern talent acquisition teams.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Secure Docker-based environment supporting 20+ languages for real-time code execution during interviews.
Uses keystroke dynamics and tab-switching monitoring to detect LLM-assisted cheating.
Proprietary NLP layer allowing the AI to politely interrupt and guide candidates who get stuck.
Anonymizes candidate voice and appearance during the evaluation phase to focus on logic.
Maps candidate answers to a 3D knowledge graph of engineering concepts.
Generates a 1-page executive summary and transcript within 60 seconds of interview completion.
Recruiters overwhelmed by thousands of junior applications with similar resumes.
Registry Updated:2/7/2026
Ensuring a senior candidate actually has the depth required for staff-level roles.
Conducting interviews across 12 different time zones simultaneously.