INSPIRED AI | AI-Native Language Acquisition Platform

What We Build

Products That Accelerate Fluency

Our platform moves beyond repetitive drills — simulating the richness of real conversation to give learners contextual exposure, immediate feedback, and measurable progress.

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TalkMe App

An AI-powered conversational companion delivering podcast-style immersion. Dynamically generated dialogues adapt to each user's proficiency level, vocabulary gaps, and cultural context — making every session genuinely useful.

Conversational AI Adaptive Content Voice-First UX

Smart Output Engine

A real-time LLM feedback layer that evaluates spoken and written output — scoring grammar, fluency, and pragmatic accuracy. Goes beyond "correct/incorrect" to explain why something sounds unnatural to a native speaker.

LLM Analysis Real-Time Scoring Pronunciation AI

Adaptive Learner Intelligence

Behind every session is a real-time learner model tracking vocabulary retention curves, identifying phoneme weaknesses, and dynamically adjusting content difficulty — ensuring the platform stays challenging without becoming overwhelming.

Learner Modeling Spaced Repetition Behavioral Analytics

Under the Hood

Built for Scale from Day One

AI-native language learning is computationally demanding. Every real-time conversation, voice scoring event, and personalization update requires elastic, low-latency cloud infrastructure. Here's how we architect for it.

Compute

On-Demand GPU Inference

Real-time LLM inference for live conversation sessions demands GPU-backed compute with sub-300ms response budgets. We rely on horizontally scalable GPU instances that spin up during peak learning windows and scale down off-hours — keeping latency consistent without over-provisioning.

Voice Processing

Real-Time Speech Pipelines

Every TalkMe session streams continuous audio requiring automatic speech recognition, acoustic pronunciation scoring, and text-to-speech synthesis in near real-time. This demands high-throughput object storage, low-latency streaming compute, and managed ML inference endpoints to handle concurrent sessions.

Data Pipelines

Serverless Content Generation

New audio and text content is continuously ingested, enriched by LLM annotation, and packaged into personalized episodes through event-driven serverless workflows. The pipeline processes thousands of content items daily without manual intervention — scaling automatically with ingest volume.

Data Platform

Distributed Learner Profiles

User learning profiles, vocabulary retention graphs, and session histories are stored and queried in real-time across a distributed NoSQL architecture. Millisecond read latency is essential for the personalization engine to adjust content mid-session without user-facing delay.

Edge Delivery

Global Content Distribution

Learners across Southeast Asia, East Asia, and beyond receive AI-generated audio and content through a globally distributed edge network. Edge caching reduces origin load by over 60% during peak hours and dramatically improves stream quality in bandwidth-constrained markets.

Reliability

Elastic Auto-Scaling

Language learners are predictably active during morning and evening commute windows, creating sharp load spikes. Auto-scaling policies allow compute capacity to track demand precisely — maintaining SLA response times during peaks without the cost overhead of static over-provisioning.

The People Behind It

Founding Team

A compact team combining serial entrepreneurship, applied linguistics, and a shared obsession with how AI changes the way humans learn to communicate.

Zijian Jia

Founder & CEO

Serial entrepreneur and Peking University (PKU) alumnus. Founded TalkMe and has been at the intersection of language technology and consumer growth for years. Leads product vision, investor relations, and strategic partnerships.

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Yujun Dai

Co-Founder

Alumna of Beijing Language and Culture University (BLCU). Brings deep expertise in second-language acquisition theory and instructional design, translating academic pedagogy into AI-powered product features that actually move the needle for learners.