Understand every student's true French level, continuously.
An independent CEFR benchmarking and progress-tracking layer for schools — not a conversational practice app.
The AI proposes. The teacher decides.
No curriculum changes · Works with your existing student data
Camille Moreau
Cohort · Intermediate · FR-204
Current CEFR
A2
Trajectory
Progressing → B1
B1
B1
A2
A2+
Key insight
Strong vocabulary range, but recurring errors in past tense (passé composé).
Benchmark vs. CEFR A2
Camille Moreau · Last 30 days
Insight
Performs at A2, but demonstrates B1-level sentence structure.
Trusted by language programs at
CambriLearnLycée NumériqueÉcole ConnectInstitut PolyglotteAcadémie LumièreLanguage learning is still measured the wrong way.
Most schools rely on static tests and occasional assignments. Performance varies depending on the day, stress, or topic — and a single score rarely reflects a student's real level.
Between assessments, teachers operate with limited visibility. Learning gaps form quietly, and by the time they surface, students are already misplaced or disengaged.
Introducing new tests or restructuring the curriculum to fix this creates friction with educators, parents, and platforms — and is rarely worth the disruption.
1 test
every 6–12 weeks
<10%
real-time visibility
Months
to detect drift
A continuous intelligence layer, without changing how you teach.
FluencyAI sits on top of your existing systems and analyses the data your students already produce — no new tests, no curriculum redesign.
Student recordings
Speaking exercises and oral submissions are analysed for pronunciation, fluency, and hesitation patterns.
Written assignments
Essays and short responses are evaluated for grammar accuracy, vocabulary range, and complexity.
Test responses
Existing tests and quizzes feed into the model to track trajectory across CEFR levels.
AI French Level Assessment.
Students continue their normal learning activities. The platform evaluates performance across four dimensions and maps each student dynamically to CEFR levels — A1 through C1 — updated continuously.
Student is currently A2, progressing toward B1.
Strong vocabulary, but weak past tense usage.
Camille Moreau
Cohort · Intermediate · FR-204
Current CEFR
A2
Trajectory
Progressing → B1
B1
B1
A2
A2+
Key insight
Strong vocabulary range, but recurring errors in past tense (passé composé).
Performance Benchmarking Engine.
FluencyAI compares each student's real performance against expected CEFR benchmarks — defining how students at each level should actually perform across multiple linguistic dimensions.
- Pronunciation patterns
- Response time and hesitation
- Sentence complexity
- Vocabulary range
Example insight
"Student performs at A2 level, but demonstrates B1-level sentence structure."
Benchmark vs. CEFR A2
Camille Moreau · Last 30 days
Insight
Performs at A2, but demonstrates B1-level sentence structure.
AI Learning Gap Detection.
The platform identifies recurring mistakes and learning gaps over time, surfacing patterns that would otherwise stay invisible between formal assessments.
- 17×
Frequent errors in verb conjugation (passé composé)
Grammar - 12×
Limited sentence complexity in written responses
Syntax - 9×
Repeated reliance on basic adjectives
Vocabulary
Five steps. Zero curriculum disruption.
- 01
Students continue their normal coursework
No new tests, no behaviour change required.
- 02
The platform analyses existing recordings, assignments, and test responses
Connect once via API or LMS integration.
- 03
AI evaluates performance continuously
Across pronunciation, grammar, vocabulary, and fluency.
- 04
Teachers receive structured insights and level tracking
Delivered through a dashboard or weekly digest.
- 05
Students are grouped and supported more effectively
Cohort placement and intervention become data-driven.
How to use FluencyAI in your school.
FluencyAI is designed to work with your existing teaching methods. Whether you run a fully online program or a traditional classroom, the platform integrates seamlessly without requiring changes to your curriculum. Schools can choose from multiple simple implementation approaches depending on their setup.
Flexible implementation options
Pick the approach that fits your environment — or combine several.
Continuous Analysis (Online Schools)
Uses existing recordings, assignments, and test responses. Fully passive — no additional work required.
Weekly Speaking Checkpoint
Students submit a short 30–60 second spoken response. Can be done in class or at home.
Audio Homework Integration
Add one short speaking task to weekly homework. No classroom disruption.
Oral Exam & Presentation Analysis
Record existing oral exams or presentations. AI provides structured evaluation and benchmarking.
For online schools
- Uses existing student data
- Continuous automatic assessment
- Real-time CEFR level tracking
- No workflow changes required
“Zero disruption, continuous insight.”
For classrooms and traditional schools
- Simple weekly speaking tasks
- Flexible integration into lessons or homework
- Works with existing teaching structure
- No need for constant recording
“Minimal effort, powerful visibility.”
What this looks like in practice
A teacher asks students to record a short response to a question in French. The platform analyses fluency, grammar, vocabulary, and pronunciation, and updates each student’s level automatically.
Built for modern schools.
No changes to curriculum or testing
Drop-in intelligence layer for your existing programs.
Continuous, objective assessment
Replace point-in-time scores with a living level signal.
Better student placement and grouping
Cohorts informed by real data, not approximations.
Early detection of learning gaps
Surface patterns weeks before traditional reviews would.
Reduced teacher workload
Structured insights replace hours of manual evaluation.
Data-driven teaching approach
Move from intuition to evidence at the program level.
The whole cohort, at a glance.
Each student's level, trajectory, strengths, and benchmark gap — updated as they learn.
FR-204 · Intermediate cohort
· 24 studentsUpdated 2 min ago
| Student | Level | Progress to next | Strength | Weakness | 30d |
|---|---|---|---|---|---|
CM Camille Moreau | A2 → B1 | 62% | Vocabulary | Past tense | +8 |
LB Liam Bennett | B1 → B2 | 38% | Grammar | Pronunciation | +3 |
AD Aïcha Diallo | B2 → C1 | 71% | Fluency | Subjunctive | +12 |
NS Noah Schmidt | A1 → A2 | 84% | Listening | Vocabulary | +6 |
SR Sofia Romero | B1 → B2 | 22% | Pronunciation | Articles | −2 |
Bring AI-powered intelligence to your language programs.
See how FluencyAI fits into your existing platform. We'll walk you through a sample cohort and tailor a pilot to your school.
30-minute walkthrough · No commitment