EZAI's AI Teacher Provides Next-Generation Language Learning Powered by Agora

Problem

Adding real-time AI interactivity often requires high-complexity development and can still deliver a poor user experience

Solution

Agora’s Conversational AI Engine to integrate an immersive, intelligent language tutor

Results

35% increase in daily active users

40% increase in average session length

50% improvement in interactive practice completion rates

About EZAI

Transforming language learning with AI and real-time interaction

‍EZAI is a Taiwan-based education technology company reimagining how languages are taught. Through its advanced AI-powered platform, EZAI turns passive lessons into active, personalized learning journeys.

At the heart of its innovation is the AI Teacher, which simulates realistic, scenario-based conversations with learners, helping them build confidence and fluency through daily interaction. By combining natural language understanding, real-time feedback, and immersive dialogue, EZ-AI empowers users to speak a new language.

The Problem

From passive learning to active conversation at scale

Most language learning platforms focus on listening and repetition, not conversation. Learners practice alone, receive delayed feedback, and struggle to stay motivated. At the same time, managing speech recognition, translation, scoring, and analytics across multiple systems create significant technical complexity and increase operational overhead, slowing product innovation.

EZAI needed a unified, real-time platform that could deliver fluid voice interaction, instant feedback, and intelligent tutoring - without compromising scalability or development speed. Without such a solution, EZAI risked declining user engagement, lower retention rates, and an inability to differentiate in an increasingly competitive edtech market.

Key challenges before Agora:

Lack of real-time interaction and feedback in traditional language apps

Low learner engagement and retention

High complexity from relying on multiple vendors for speech, evaluation, and analytics

The Solution

EZAI partnered with Agora to build a scalable, real-time conversational AI platform by combining Agora’s global real-time engagement network with Amazon Web Services (AWS). Learner voice interactions were transmitted through Agora’s Software-Defined Real-Time Network (SDRTN®), ensuring ultra-low latency and high reliability. Based on interaction requirements, relevant audio streams were selectively routed to AWS, where they were processed within designated regions using Elastic Load Balancing to maintain performance and availability.

Within AWS, conversational workloads were managed inside a secure Amazon Virtual Private Cloud (Amazon VPC). Amazon EC2 instances hosted Agora’s Conversational AI Engine, enabling real-time audio enhancement, session orchestration, and interaction management. This architecture allowed EZAI to dynamically scale resources based on demand while maintaining a stable learning experience.

The conversational AI architecture executed a chained inference pipeline (speech-to-text → language understanding → text-to-speech), enabling continuous, real-time interaction between learners and the AI Teacher, powered by Amazon Bedrock Nova for real-time language understanding. Processed responses were streamed back through Agora’s network, completing a seamless conversational loop for immersive language learning at scale.

Agora Products

Conversational AI Engine Conversational AI Engine

Why EZAI chose Agora:

Ultra-low latency for natural, real-time speech interaction

Integrated speech, evaluation, and analytics in a single platform

Developer-friendly deployment, reducing complexity and time to market

Results and ROI

Boosting engagement and outcomes through real-time AI tutoring

Following the implementation of the real-time conversational AI solution, EZAI transformed its platform from passive, one-way learning into an interactive, dialogue-driven experience. By combining Agora’s low-latency delivery with Amazon Bedrock-powered inference and AWS-based scalable processing, EZAI addressed key challenges around delayed feedback, low engagement, and fragmented infrastructure, enabling learners to receive instant, contextual responses in real time.

This shift delivered measurable improvements in both user engagement and system performance. While Agora ensured seamless, real-time interaction, AWS infrastructure — including Amazon EC2, Amazon VPC, Elastic Load Balancing, and Amazon Bedrock—provided the scalability and reliability required to handle growing user demand. This allowed EZAI to maintain consistent performance across regions while supporting increased concurrency without degradation in experience.

In addition, consolidating multiple third-party systems into a unified architecture improved operational efficiency and reduced system complexity, enabling faster development cycles and more efficient resource utilization.

Results after implementing Agora:

+35% increase in daily active users

+40% increase in average session duration

+50% improvement in interactive lesson completion rates

TEN

App Builder

Flexible Classroom