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Accelerating hiring decisions with science-backed AI video intelligence and automated assessments.

AI-Powered Technical Assessment and Video Interviewing Platform for Elite Talent Acquisition.

Panna, an enterprise-grade AI technical interviewing platform (part of the Glider AI ecosystem as of 2025/2026), is architected to eliminate the friction and fraud prevalent in remote technical recruitment. By 2026, Panna has evolved into a comprehensive talent intelligence engine that utilizes sophisticated NLP and Computer Vision to monitor candidate integrity and evaluate core competencies in real-time. The platform's technical core features a dynamic coding environment supporting over 40 programming languages, integrated with a proprietary AI proctoring suite that detects non-verbal cues, eye movement, and multi-user presence. Beyond mere screening, Panna leverages machine learning models trained on millions of technical interview data points to provide a 'Skill Score' that predicts job performance with higher accuracy than traditional CV screening. Its 2026 market position is defined by its 'Anti-Cheat 2.0' protocol, which includes browser lockdown, plagiarism detection, and voiceprint verification, making it the gold standard for high-stakes technical hiring in a landscape saturated with LLM-assisted candidate fraud. The architecture is built for seamless enterprise integration, providing bi-directional synchronization with major ATS providers to ensure a unified recruitment workflow.
Panna, an enterprise-grade AI technical interviewing platform (part of the Glider AI ecosystem as of 2025/2026), is architected to eliminate the friction and fraud prevalent in remote technical recruitment.
Explore all tools that specialize in assess technical skills. This domain focus ensures Panna delivers optimized results for this specific requirement.
Explore all tools that specialize in automated proctoring. This domain focus ensures Panna delivers optimized results for this specific requirement.
Uses facial recognition and eye-tracking to ensure candidate integrity during remote sessions.
Real-time IDE with multi-language support and automated unit testing capabilities.
Analyzes candidate vocal biometrics to ensure the person interviewing is the same person on the resume.
Analyzes video responses for confidence levels, communication clarity, and problem-solving patterns.
ML-driven evaluation of code quality, efficiency, and time complexity.
Adjusts question difficulty in real-time based on the candidate's previous answers.
Scans code against a massive repository of existing solutions and candidate history.
Domain verification and enterprise account configuration.
Bi-directional integration with existing ATS (e.g., Greenhouse, Workday).
Customization of the 'Skill Library' based on specific job descriptions.
Selection of proctoring sensitivity levels (Standard vs. High-Stakes).
Configuration of automated email sequences for candidate invitations.
Setting up the 'Virtual Sandbox' environment for live coding sessions.
Defining custom AI evaluation benchmarks for specific tech stacks.
Conducting a pilot assessment to calibrate the AI scoring engine.
Reviewing privacy compliance settings (GDPR/CCPA/SOC2).
Go-live and real-time dashboard monitoring of candidate pipelines.
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Verified feedback from other users.
"Highly praised for its robust anti-cheating measures and the accuracy of its automated grading, though some find the UI for candidates slightly rigid."
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