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Mokka vs. Hallo

Comparison Last reviewed: 13 Feb 2026

A Quick Look at Hallo:

Hallo is an AI-powered language proficiency assessment platform available across 60+ languages. The platform evaluates speaking, writing, listening, and reading skills simultaneously through five scenario-based, open-response questions, delivering CEFR proficiency scores with detailed feedback on fluency, vocabulary, grammar, pronunciation, and coherence. Hallo maintains SOC II Type 2, ISO 27001, and GDPR certifications with monthly third-party AI audits for bias and fairness. The platform integrates with ATS systems like Greenhouse, Workday, and Lever, targeting pre-employment screening, customer service/BPO operations, and international workforce management.

The Mokka Difference:

Hallo is a specialized language proficiency testing platform. Mokka is a comprehensive candidate screening platform. These are complementary tools, not direct competitors—Hallo tests language skills, Mokka evaluates job qualifications and accomplishments.

  • Language Testing vs. Job Qualification Screening: Hallo assesses whether candidates meet language proficiency requirements (CEFR levels) for roles. Mokka evaluates whether candidates meet job requirements—experience, accomplishments, skills, and cultural fit—across any role type, not just language-dependent positions.
  • Pronunciation & Grammar Focus vs. Accomplishment Evidence: Hallo analyzes clarity, intonation, vocabulary, and grammar. Mokka probes for specific, measurable accomplishments with concrete evidence—differentiating candidates who can communicate clearly from those who have demonstrably excelled in past roles.
  • Single Skill Assessment vs. Comprehensive Evaluation: Hallo tests one dimension (language ability). Mokka conducts comprehensive pre-screening covering past role alignment, accomplishment validation, requirement matching, and integrity verification—building a complete candidate profile.
  • Specialized Use Case vs. Universal Application: Hallo is essential for customer service, BPO, international teams, and language-critical roles. Mokka screens candidates for any knowledge worker role receiving high application volume—engineering, marketing, operations, finance, product, customer success, and yes, language-dependent roles too.
  • Complementary Not Competitive: Many teams could benefit from both—Hallo for verifying language proficiency requirements, Mokka for evaluating overall job qualifications and accomplishments. If a role requires Spanish fluency + 5 years of sales experience, Hallo validates the Spanish, Mokka validates the sales accomplishments.
  • Language-Specific Integrity vs. General Application Integrity: Hallo includes anti-cheating technology for language tests. Mokka's Profile and Answer Integrity analytics cross-check job qualification responses against resumes, LinkedIn profiles, and third-party data—detecting AI-generated answers and inconsistencies across your entire applicant pipeline.

Key Questions to Consider:

  • For roles that don't require specific language proficiency (monolingual markets, non-customer-facing positions), how does a language testing platform help screen candidates?
  • After verifying a candidate meets language requirements, how do you evaluate their actual job qualifications, accomplishments, and cultural fit?
  • Can your team benefit from both tools—Hallo for language-critical role requirements, Mokka for comprehensive job qualification screening?
  • How do you screen candidates for roles where language is one of many requirements, not the primary qualification?

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This comparison is part of our comprehensive guide to choosing an AI recruiting partner.

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