Matching System

LMS Language Tech

Assessment and Evaluation Software

[

5/10/25

]

How Lingueo Reinvented Language Evaluation with AI Testing Features?

Introduction

Lingueo is a recognized leader in online language training, operating across public institutions and private organizations. But as the demand for large-scale, personalized language evaluation grew, they needed a smarter way to assess skills, instantly and reliably.

They partnered with Rakam to build an AI-powered assessment engine that measures both written and spoken language abilities, aligned with CEFR standards. The system now delivers real-time results, with traceability and transparency built into every score.

The Challenge

Lingueo’s training programs required a scalable way to evaluate learners' language levels, accurately, fairly, and fast. Manual evaluations were too slow. Off-the-shelf tools lacked customization and didn’t offer clear explanations behind results.

They faced four critical challenges:

  • The evaluations had to be instant and automated, across writing and speaking skills

  • The output needed to be explainable and transparent to learners and institutions

  • The system had to align with CEFR-level standards, widely used across Europe

  • It needed to comply with AI Act regulations, particularly for fairness and traceability

    "Assessment isn’t just about scoring. It’s about trust, in the result, and in the process behind it."

The Vision

Lingueo didn’t just want a tool that scored answers. They wanted a system that could explain itself, why it gave a score, how it measured skill, and where improvement was needed.

Their goal was to bring credibility, speed, and precision together in a single experience. And most importantly, to ensure that learners, instructors, and institutions could rely on every result.

Key objectives:

  • Provide accurate, CEFR-aligned skill evaluations

  • Deliver immediate results through a digital interface

  • Include transparent breakdowns per skill area

  • Ensure full traceability of data and model behavior

The Solution

Working closely with Lingueo, Rakam designed and implemented a complete AI assessment engine that evaluates language proficiency with a focus on explainability, compliance, and real-world training needs.

1. Instant AI-Powered Language Testing

The system analyzes both written responses and spoken audio to determine a learner’s level. It follows CEFR criteria for grammar, vocabulary, fluency, and coherence.

  • Learners take the test online, on-demand

  • Written answers are evaluated in real time

  • Oral expression is assessed via audio input, analyzed for pronunciation, fluency, and clarity

  • Final results are delivered with CEFR-level mapping and sub-skill breakdowns

"Learners don’t just receive a label. They get a detailed picture of where they stand and why."

2. Built-in Transparency and Traceability

Every evaluation includes an explanation of how the score was calculated. This was critical for Lingueo’s public sector partnerships and professional training clients.

  • Results include a breakdown by criteria (grammar, vocabulary, structure, etc.)

  • All model decisions are logged and auditable

  • Stakeholders can trace back how specific answers led to a given score

"Institutions needed more than automation. They needed accountability. That’s where this system stands apart."

3. Regulatory Readiness

Given the application’s context, the system was built to meet high-risk AI use requirements, including:

  • Transparent scoring methods

  • Bias monitoring and regular validation

  • Clear consent handling for user data

  • System design aligned with AI Act compliance from day one

The Outcome

The AI evaluation engine became a turning point for Lingueo’s service model. In just six months, they moved from manual evaluations to a fully automated system that learners and institutions trust.

  • Learners now receive instant, detailed assessments

  • Institutions gain reliable, repeatable evaluation standards

  • The system has improved accessibility, reduced delays, and reinforced trust in digital training.

"It’s one thing to evaluate someone’s skills. It’s another to explain it, defend it, and do it instantly."

The project was a game-changer, not just for Lingueo, but for the broader training landscape in France.



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Adopt the Rakam way where prrecision meets intelligence.

Move from AI hype to the real thing

Access revenue-focused AI. Beat the competition. Follow our ethical AI philosophy.