We're building the infrastructure layer for AI-native content creation. Based in Guangzhou, China. Founded 2023.
We believe AI creation should be infrastructure — not a feature. The next generation of content, apps, and media will be built on top of intelligent, programmable pipelines that handle the entire creation lifecycle automatically.
Q-Star AI is building that infrastructure. We're not building a single AI tool — we're building the platform that makes AI creation repeatable, scalable, and accessible to anyone with an idea.
Our four products — Drama Engine, AgentOS, AppForge, and ClipAI — are all built on the same underlying infrastructure. Every new product we ship makes the platform stronger.
Every item below is live in production. We ship, then we talk about it.
End-to-end AI video production: script → TTS → render → CDN. Running in production with 573 MB of generated assets.
Hierarchical agent system running daily autonomous workflows. Powers every other Q-Star product under the hood.
Natural language to production-ready iOS + Android apps. APK packaging and store asset generation included.
AI music composition Mini-Program, live and accessible to WeChat's 1.3B users.
iOS + Android app for AI short video creation. Currently in App Store review.
Intelligent routing across 15+ AI models (Gemini, Claude, GPT, MiMo) with failover and cost optimization.
We run our own infrastructure — not just API wrappers.
4 production servers on Vultr cloud, distributed across regions. Containerized workloads via Docker Compose, designed for GKE migration.
Cloudflare R2 for global asset delivery. Qiniu CDN for China-optimized distribution. PostgreSQL + Redis for application data.
Direct integrations with Google Gemini, Anthropic Claude, OpenAI GPT, and Xiaomi MiMo. Intelligent routing with automatic failover.
Async task queues for video rendering and app generation. TTS synthesis, ffmpeg video processing, and Playwright browser automation.
We're open to partnerships, investment conversations, and enterprise integrations. Reach out.
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