Live coding challenges, automated execution, and AI scoring across 60+ languages — delivering objective technical signal at enterprise scale.
Confirm candidate capabilities through practical evaluation rather than self-reported experience.
Identify candidates whose skills align closely with job requirements, improving decision-making quality.
Minimize the likelihood of mis-hires by relying on measurable performance data rather than subjective impressions.
Streamline high-volume recruitment by efficiently screening and shortlisting qualified candidates.
Support the hiring of high-performing talent, contributing to improved productivity and outcomes.
Customized assessments aligned with the unique requirements of each role and industry.
Coding tests, technical aptitude, case-based exercises, and system architecture evaluations.
Assessments designed to replicate real workplace scenarios and practical application of knowledge.
Detailed evaluation reports with competency-level analysis and benchmark comparisons.
Support for both small and large-scale recruitment with secure, seamless delivery across devices.
Identification of role-specific technical competencies and expectations.
Creation of customized evaluation models for real-world requirements.
Secure and user-friendly delivery with enterprise scalability.
Data-driven analysis of candidate performance and reporting.
Continuous improvement based on data and industry standards.
We combine science-backed frameworks with business relevance to deliver reliable, unbiased assessments.
Prelim's technical assessment platform goes far beyond multiple-choice quizzes. Candidates work through real-world coding challenges in a live IDE, submit pull-request-style solutions, and are evaluated automatically on correctness, efficiency, and code quality.
Our AI scoring engine benchmarks every submission against thousands of accepted solutions, surfacing candidates who solve problems creatively — not just those who memorize textbook answers.
From rapid screen to deep technical validation — all in one integrated workflow.
Candidates code in a browser-based IDE with syntax highlighting, auto-complete, and real test runners — no setup required.
Our ML model scores solutions on correctness, time complexity, and code style, reducing manual review time by 80%.
Every score is ranked against a global candidate pool, giving hiring managers instant signal on where a candidate stands.
A seamless, candidate-friendly environment that reflects the quality of your engineering culture.
Join 2,000+ engineering teams using Prelim to filter signal from noise.