Built for
EdTech & Learning · Delivered: Voice-First AI Language Tutor
Drove $5M+ in Revenue with a Voice-First AI Tutor for Teacher AI
Voice-first AI language platform. Real-time pronunciation feedback, adaptive lesson paths, sub-second turn-around across 30+ languages.
$5M+ REVENUE200K+ USERS30+ COUNTRIESCLUTCH VERIFIED
The problem
Language learners hit a ceiling: an app can quiz vocabulary, but it cannot hear them speak.
Vocabulary-drill apps built large user bases on flashcards and grammar tests. None of them had solved the part of the problem that actually keeps learners stuck: speaking.
Teacher AI needed a voice-first platform that could hear every learner, correct pronunciation in real time, and scale to 30+ languages without a content factory behind it.
Learners speak. The platform listens, ranks, and adapts.
Teacher AI is a voice-first platform that turns spoken practice into real-time pronunciation feedback and adaptive lesson paths across 30+ languages.
In one screen
Three signals in one view.
AI is moving from prototype to production. Mid-market buyers want certainty their build will scale, integrate, and survive the road map. Most agencies have not caught up.
Voice-clone teachers
Your learners pick a teacher and start speaking.
Every persona is cloned into a voice with consistent pacing and accent. Practice feels like a real classroom, not a generic chatbot.
Adaptive lesson paths
No two learners land on the same day-30 lesson.
The path adjusts to where each learner gets stuck. Day-30 lessons diverge because day-29 did.
Solutions We Provided to Teacher
Speak any of 30+ languages. The platform hears every word.
Voice in, voice out, with CJK tokenisation so the analysis layer treats Japanese and Chinese correctlyLessons that adapt to your learner's pace.
No more one-size-fits-all curriculum. The path reshapes as the learner movesScale from one classroom to 200,000+ learners.
Sized on day one for global concurrent voice calls across 30+ countries.
Pronunciation feedback in milliseconds.
Real-time, every utterance. Learners self-correct inside the lesson instead of after.Progress that compounds, visible week on week.
70% of learners record pronunciation gains inside the first three months.
Building voice-first AI for your platform?
30 minutes. Bring your data and your AWS setup. Walk out with a working architecture you can build to.
Our process
Four stages from brief to live platform.
Conceptualization
Design
Development
Deployment
Fixed-scope build. Typical engagement: 8–12 weeks from MVP validation to scalable production deploy.
What's inside
Voice-first AI on a stack you can scale.
OpenAI and ElevenLabs through your own AWS infrastructure. Sub-second turn-around between learner voice in and teacher voice out.
Figure 1. Teacher AI voice-first pipeline: ElevenLabs scribe_v1 STT with Azure Speech fallback, OpenAI GPT-5-mini analysis, GPT-4o-mini + Google Cloud Translate, Kuroshiro / jieba for CJK tokenisation, ElevenLabs eleven_v3 TTS out.
The Results
From MVP thesis to 200,000+ paying learners.
Pre-MVP
What Teacher AI had before.
Concept stage. No validated voice product. No production architecture.
Today
What Teacher AI runs on.
$5M+ revenue. 200,000+ users. 30+ countries. 85% retention.
Revenue
Generated by the Kodexo-built platform
Users
Active learners on the platform
Reach
Countries served, 30+ languages
Engagement
User retention rate
Pronunciation
Improvement within first 3 months
Fluency
Learners record 30%+ gain after 5 lessons
Three questions buyers ask before they brief us.
10–14 weeks for a production deploy in your AWS environment. We give you a fixed scope at kickoff and lock the architecture before week 4.
Ready to ship voice-first AI?
30-min call. We will walk through your data, your AWS setup, and what a fixed-scope build looks like.
Recognised By The Platforms That Vet AI Companies
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Insights From The Kodexo Labs Team
Top 15 Artificial Intelligence Applications List 2026
June 2026 · By Mohammad Ahmed Rajput
A guide to the top 15 AI applications of 2026, covering AI industrial applications and the best open-source artificial intelligence tools across industries.
AI in Adaptive Learning: Benefits, Challenges, and Best Practices for 2024
October 2024 · By Mohammad Ahmed Rajput
A practical guide to AI in adaptive learning, covering benefits, challenges, platforms, ROI, and best practices for personalized education in 2024.
What is Natural Language Processing? A Comprehensive Guide for Users
December 2023 · By Mohammad Ahmed Rajput
NLP is a branch of artificial intelligence (AI) that focuses on the interaction between computers and human languages.