Company

2026-10-22

Company

Who we are

Praxis is a platform for businesses to serve their own customers: Agents for every business.

We help businesses bring agents into their operations and serve their own customers. Customer relationships, data, and brands belong to the business.

Praxis makes three commitments: quick to integrate, affordable to use, and dependable. We help businesses connect agents to their websites and operations, pay for what they use, and sustain services for real customers.

We work by three principles: unity of knowledge and action (知行合一), governing by explicit rules (垂法而治), and compounding from small accumulations (积微成著).

What we build

Praxis is a platform for businesses to serve their own customers: Agents for every business.

One platform, two ways to use it.

Praxis Cloud provides infrastructure for developers and enterprises to bring agents into their business and serve customers on their own websites and in their operations. Models, search, documents, sandboxes, collaboration, and workflows are available on demand, without building the infrastructure yourself.

Praxis App is a workspace for businesses and developers to organize agent tasks and review progress and results on the platform, available on the web, desktop, and mobile.

Praxis App

Praxis is a platform for businesses to serve their own customers: Agents for every business.

Praxis App is a workspace for businesses and developers to organize agent tasks and review progress and results on the platform.

Praxis App is available on the web, desktop, and mobile. The agents you create each carry their own identity, role, and memory. They take on tasks, keep a record of their process, and deliver results.

society.deepraxis.ai

Praxis App workspace: agent list, conversations, and topics

Praxis App · agent collaboration workspace

Praxis Cloud

Praxis is a platform for businesses to serve their own customers: Agents for every business.

Praxis Cloud helps developers and enterprises bring agents into their own websites and operations to serve their own customers.

Model routing, sandboxes, documents, agents, and more — used on demand with one account and one bill; usage, latency, and cost stay visible and controllable in the console, with nothing to build yourself.

console.deepraxis.ai

Praxis Cloud console: model routing usage, latency, and billing overview

Praxis Cloud · model routing console

Open source & research

Deepractice started from open source.

We maintain 43 public repositories on GitHub (as of August 2026). PromptX is the earliest and the best known — an AI agent context platform, open-sourced under the MIT license, with 3,687 stars (as of August 2026), continuously distributed through npm and Docker. In December 2025 it passed AtomGit's official review and received the G-Star program graduation certification (No.0478).

Beyond open source, we bring the methods of our practice back to academia for examination. A paper with the City University of Hong Kong, "PromptX: A Cognitive Agent Platform with Long-term Memory", was accepted by The Web Conference 2026 Demo Track.

For us these are two sides of the same thing: open source lets methods be genuinely used, and academia lets methods be rigorously examined.

PromptX repository page: stars, license, npm and Docker distribution badges
github.com/Deepractice/PromptX

Partners

Praxis Cloud's model capacity is purchased directly from Volcano Engine and Ant Group.

For an infrastructure company, who the upstream is is not a detail. If we provide model capacity to developers and enterprises, we have to guarantee that the supply is legitimate, traceable, and sustainable — not quotas pieced together from intermediaries of unknown origin.

Choosing first-tier vendors as direct upstreams is part of the reliability commitment: behind every model call made on Praxis Cloud stands a clear supplier with service guarantees.

Recognition

In December 2025, Deepractice was selected into the City University of Hong Kong's HK Tech 300 seed fund program, receiving startup funding and incubation support.

In August of the same year, we presented our technical work "An AI Agent Memory System Based on Cognitive Psychology" at the official Cursor Nanjing Meetup, receiving official recognition and support from the Data Bureau of Jianye District, Nanjing.

The Deepractice team at the City University of Hong Kong HK Tech 300

HK Tech 300 · City University of Hong Kong

Founder

Jiang Shan, Sean Jiang

Jiang Shan Sean Jiang

Founder & CEO

Software engineer and agent engineering specialist.

Formerly a testing, operations, and development engineer at WeBank, where he accumulated complete experience in large-scale internet engineering across development, testing, and operations. He then moved into internet solutions entrepreneurship, becoming deeplearning.ai's China partner, and later founded an internet travel business that reached a million-yuan annual profit with a team of 50–100.

After entering the AI field he became an active open-source contributor — author of popular GitHub AI open-source projects and founder of technology communities.

"Deepractice's philosophy is to make AI a tool that raises productivity, not a castle in the air."

— "Inspired by DeepSeek, he built new industrial productivity with 'Deep Practice'", Xinhua Daily · Jiaohu Point, reporter Shao Jia · Read the original

Team

Lin Binya

Lin Binya

Head of Operations

PhD in Literature from Tohoku University, Japan; MA in Literature from National Chengchi University, Taiwan; experienced in product operations, user growth, and ecosystem partnerships.

Qiu Yue, YoYo

Qiu Yue (YoYo)

Head of Product

Former AI product manager at Yuanfudao Group and AI education content creator; double bachelor's in physics and psychology, master's in education from the University of Helsinki.

Dr. Wang Maolin

Dr. Wang Maolin

Academic Advisor

PhD from the City University of Hong Kong, author of 20+ CCF-A/B papers (AAAI/KDD among others), KDD 2025 best paper nominee; his EI-BERT model is deployed at Alipay serving hundreds of millions of users.

Contact

Phone
+86 183 1252 0832
Email
sean@deepractice.ai
Website
deepraxis.com
GitHub
github.com/Deepractice

Operating entities

  • Users outside mainland China: Praxis Global Limited (Hong Kong)
  • Users in mainland China: Nanjing Deep Practice Artificial Intelligence Technology Co., Ltd.