About us
Shanghai Qiner Technology Co., Ltd. (“Qiner Tech”) is a technology company built on digitalization and artificial intelligence. We aim to be an influential digital technology services provider and a trusted partner for enterprise digital transformation. Our work spans internet e-commerce, digital enterprise marketing, artificial intelligence, AI and large-model applications, online education, and related fields. With strong in-house R&D, we build products and platforms across multiple ecosystems to empower business growth through technology.
Qiner Tech is innovation-driven. We are committed to elevating customer value through digital technology, delivering quality software and digital products and services, and helping enterprises evolve through intelligent digital transformation.
Brand overview
MediCut (剪谱云) is an in-house platform from Shanghai Qiner Technology for AI-driven video, multi-track audio, and AI music creation. We break long-form bottlenecks with proprietary algorithms and engineering—one workspace for editing visuals, shaping stems, and composing smart melodies—benchmark-grade on marathon timelines.
Why we started
From day one, Qiner Tech has focused on shared challenges in digital and intelligent transformation: low creative and operational efficiency, fragmented toolchains, unstable long-running jobs, strict private deployment and compliance requirements, and AI that is hard to sustain in real business workflows. Guided by our creed—to elevate customer value through digital technology—we invest in in-house AI engines, models, and engineering platforms to deliver commercial, deployable, and scalable products for creators and enterprises alike. From Aurols Media processing to end-to-end music creation and enterprise-grade AI inference acceleration, we aim for a clear product path that drives business outcomes—not demos alone.
Our strengths
Built on a mature enterprise R&D system, Qiner Tech offers multiple AI product lines for both consumer creation and enterprise deployment: the Music Creation Platform for full-chain AI composition with private commercial deployment; PanEngine for government and enterprise private AI, with unified acceleration and platform governance across text, code, music, and video; and Aurols Media (Media Creation Platform) for intelligent long-form media processing, vocal/instrumental separation, and multi-stem workflows. We deliver via SaaS, API, and on-premise options to meet compliance and cost needs at different scales.
Our founder brings 16+ years in software architecture and technology R&D, with leadership experience across major internet, fintech, and multinational enterprises—commercial digital platforms, large-scale system refactoring, and thousand-person R&D organizations. That operational and architectural discipline underpins a standardized, industrialized in-house build-and-delivery system that supports continuous product iteration and stable enterprise-grade commercial use.
Core team members come from leading technology companies worldwide, with long-standing depth in AI algorithms, large-model applications, media processing engineering, software architecture, and platform delivery. We keep critical capabilities in-house and reusable—model inference, long-job stability, broad format compatibility, and CPU/GPU co-scheduling—forming a technical foundation that powers multiple product lines today and new offerings ahead.
Where we’re going
Our vision is to be an influential digital technology services company and a trusted partner for enterprise digital transformation. We go beyond point tools, building an integrated “product + platform + service” AI capability stack: helping creators produce content more efficiently, helping enterprises deploy and use AI more securely and cost-effectively, and helping partners grow in a stable, open ecosystem. Looking ahead, we will continue to expand across music, multimodal inference, intelligent media processing, and more industry scenarios—driving broader adoption of digital intelligence through sustained innovation.
Technology · Expertise
Years of tech depth
Trusted by users worldwide
Major scenarios
Technical support
- 1000+ algorithm and engineering iterations
- Proprietary IP and in-house core algorithms
- Music, inference, and media processing products in production
- In-house AI engines and model stack
- Stable SaaS, API, and on-premise delivery
Core technical moats
Nine moats across music creation, inference acceleration, and Aurols Media
Algorithm · Aurols Media
In-house Kaiser-sinc resampling and Aurols parsing models for high-fidelity vocal and instrumental separation, broad format support, and production-grade quality.
Learn morePipeline · Aurols Media
Integrated pipeline: one read, one write—no plugin chains, less secondary loss, and stable long-running jobs.
Learn moreScenario · Aurols Media
Ultra-long media architecture for 13.5h-class files and multi-stem separation across creation, film, education, and more.
Learn moreCompute · Music platform
In-house CPU/GPU dual-engine scheduling; commercial deployment from 32GB CPU-only, lower hardware cost, stable on modest hardware and high concurrency on strong hardware.
Learn moreFull-chain · Music platform
Lyrics, composition, arrangement, recording, mixing, and vocals in one loop—native long-form commercial tracks that compress traditional production cycles.
Learn moreStyle · Music platform
Large-model style distillation from artist and IP signatures, high style fidelity, private models, and batch creation in a consistent style.
Learn moreInference · PanEngine
Proprietary V2 universal inference engine with incremental inference, KV cache, and batch scheduling—typically 50%+ speed-up on equivalent hardware and higher concurrency.
Learn moreMultimodal · PanEngine
Unified architecture for text, code, music, and video workloads; compatible with DeepSeek, Qwen, and other mainstream models—one engine for all.
Learn moreDeployment · PanEngine
Private, offline, and xinchuang-ready deployment with CPU/GPU co-scheduling, unified API, access control, and model governance for secure enterprise delivery.
Learn moreMilestones
Deep in technology, product by product, ecosystem by ecosystem
Technology Initiation Phase
Qiner Tech assembled core AI and software engineering teams focused on digital and intelligent transformation—covering Aurols Media, music creation, and enterprise inference. We tackled long-job stability, engineering delivery, and private deployment, laying the R&D and organizational foundation for multiple product lines.
Core R&D
We invested in in-house engines, models, and platforms: Kaiser-sinc resampling, Aurols parsing, and integrated AV pipelines; full-chain music creation with CPU/GPU dual-engine acceleration; and PanEngine V2 for incremental inference, multimodal scheduling, and unified API output—a reusable technical foundation.
Product launch
We launched and commercialized core products: Aurols Media (Media Creation Platform) for long-form media and stem separation; the Music Creation Platform for full-chain AI composition and private deployment; and PanEngine for private enterprise AI and acceptance-ready delivery—via SaaS, API, and on-premise options for creators and enterprises.
Establishing Industry Benchmark
We established a multi-product matrix across music, inference acceleration, and Aurols Media creation, deepening enterprise SaaS, private deployment, open API, and tailored solutions—expanding scenarios and partners as a trusted long-term technology partner.
Mission & values
Qiner mission
Elevate customer value through digital technology, and put AI to work for creators and business growth.
Qiner principles
Technology first · Quality rooted · Users at the center · Never stop innovating
