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The Interviewing Cloud: Accelerate engineering hiring with human-led, AI-powered technical assessments.

Karat is the pioneer of the Interviewing Cloud, a technical hiring category that combines a global network of professional interviewers with a sophisticated AI-driven data platform. By 2026, Karat has evolved its technical architecture to include 'Brilliant,' an AI layer that provides real-time signal detection, behavioral analysis, and predictive success modeling for engineering candidates. Unlike automated coding tests, Karat utilizes live, human-led interviews conducted on its proprietary platform, ensuring a high-touch candidate experience while maintaining rigorous technical standards. Its architecture integrates directly with enterprise Applicant Tracking Systems (ATS) to provide a seamless data flow from application to hire. The platform specializes in solving 'interviewer fatigue' for high-growth tech companies by outsourcing the first-round technical screen to Karat's vetted experts. Their data-centric approach leverages over a million interview hours to benchmark candidate performance against industry standards, providing talent leaders with actionable insights into hiring efficiency and pipeline diversity.
Karat is the pioneer of the Interviewing Cloud, a technical hiring category that combines a global network of professional interviewers with a sophisticated AI-driven data platform.
Explore all tools that specialize in assess technical skills. This domain focus ensures Karat delivers optimized results for this specific requirement.
Explore all tools that specialize in technical assessment. This domain focus ensures Karat delivers optimized results for this specific requirement.
LLM-driven analysis of interview transcripts to identify candidate competencies and potential red flags.
A distributed network of vetted engineers conducting interviews 24/7 across all time zones.
An integrated development environment (IDE) optimized for live collaborative coding and technical problem solving.
Machine learning models that correlate interview performance data with long-term employee retention and performance.
Real-time tracking of question difficulty and leak detection across the web.
Dynamic scoring frameworks that adjust based on specific role requirements and seniority levels.
Biometric verification and AI-based code pattern recognition to detect unauthorized assistance.
Initial discovery call to define engineering competency rubrics.
Integration of Karat with existing ATS (e.g., Greenhouse, Lever).
Configuration of custom technical question sets and live coding environments.
Setting up 'Interviewing Cloud' access for designated hiring managers.
Calibration phase: Karat engineers shadow internal interviews to align on standards.
Activation of candidate scheduling via Karat's automated 24/7 portal.
Launching the first batch of candidate screenings through the Karat network.
Reviewing AI-generated interview insights and human interviewer feedback in real-time.
Monthly health checks to optimize pass-through rates and quality of hire.
Scaling volume across global engineering departments.
All Set
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Verified feedback from other users.
"Users praise the professionalism of interviewers and the massive reduction in internal engineering time, though some mention the high cost of the service."
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