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Software Status:Active
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Codeaid Headquarters: 123 Main Street, Suite 100 Anytown, USA
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About Codeaid

Codeaid is an AI-powered pre-employment testing platform designed to evaluate machine learning and AI engineering talent through real-world workflows. It provides domain-specific assessments across deep learning, generative AI, NLP, and computer vision, auto-scored on model accuracy and code quality.

Codeaid Details

Vendor
Codeaid - Codeaid
Year Launched
Location
Codeaid Headquarters: 123 Main Street, Suite 100 Anytown, USA
Deployment
cloud, web browser
Training Options
documentation, demo, account manager
Countries Served
All Countries
Languages
Assembly, C, C++, C#, Java, JavaScript, PHP, Python, Ruby, SQL
Users
Hiring managers, ML engineers, AI engineering leads, Technical recruiters, Data scientists
Industries Served
Technology, Engineering, Education, Government, Healthcare, Finance, Retail, Manufacturing, Hospitality, Non-profit, Legal
Tags
ai-recruiting, coding-assessment, machine-learning, saas, technical-interviews, generative-ai

Codeaid's In-App Market Place

Does Codeaid have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

6

Mini Apps

1. Code Snippets

2. Code Linter

3. Unit Test Generator

4. Coding Challenges

5. Real-time Collaboration

6. Code Review Tool

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CNY (¥), INR (₹), RUB (₽)

Pros & Cons

  • Assessments are specifically designed for ML and AI engineering rather than generic software development.
  • The platform uses non-copyable datasets to prevent AI-assisted cheating during tests.
  • Automated grading provides instant, objective feedback on model accuracy and code quality.
  • Candidates work in realistic environments like JupyterLite notebooks and GPU containers.
  • Integration with major ATS platforms streamlines the recruitment workflow.
  • Pricing for the enterprise tier is contact-sales-only and not published.
  • The platform is highly specialized for AI/ML roles and may not be suitable for general software engineering assessments.

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