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Chinese AI start-up DeepWisdom has introduced Atoms, a multi-agent platform designed to let individuals build full products — including websites, apps and games — by describing their ideas in natural language, without writing code or hiring a team.
The system assigns a coordinated group of AI agents to handle the work traditionally performed by a startup staff: engineering, product management, data analysis, architecture and even search engine optimization. DeepWisdom’s founder and CEO, Alex Wu Chenglin, calls the shift from “vibe coding” to what he describes as “vibe business.”
“We want everyone to be able to realise their ideas at very low cost,” said Wu. “Each person can become one of the building blocks of society.”
Table of Contents
- Closing the Gap Between Ideas and Execution
- How Atoms Works
- Early Traction and Global Reach
- Why Atoms Grew Quickly
- The United States as a Strategic Next Step
- Aiming for the 'Rise of the Super-Individual'
Closing the Gap Between Ideas and Execution
Founded in 2019, DeepWisdom is backed by Ant Group, Cathay Capital, Jinqiu Capital, Baidu Ventures and MindWorks Capital. The company created Atoms to address what Wu describes as a structural imbalance in entrepreneurship: "Ideas are universal, but resources are not.”
He said many promising founders stall before launch because they lack capital or specialized skills. “We saw countless brilliant individuals with game-changing ideas who were blocked simply because they lacked the capital to hire a full team. They stop at the starting point due to the lack of capital or some professional skills.”
Instead of requiring founders to assemble teams across product, marketing and operations, Atoms deploys AI agents to fill those roles automatically. “By leveraging AI agents that act as specialized roles, such as market researchers, software engineers, data scientists, we allow a solo founder to operate with the capacity of a 10-person company.”
Wu emphasized that Atoms goes beyond traditional no-code tools. “We are not building another no-code platform. Our goal is more ambitious: to empower anyone with an idea to validate it, launch it and ultimately generate revenue from it.”
Related Article: Vibe Coding: Reimagining Software Development for the Age of Agents
How Atoms Works
Previously known as MGX, Atoms is powered largely by open-source AI models, including Alibaba’s Qwen and DeepSeek. Users submit an idea in plain language. Behind the scenes, a virtual team coordinates to execute the plan.
| AI Role | Function |
|---|---|
| Team Leader | Coordinates project execution |
| Engineer | Builds technical components |
| Product Manager | Structures features and workflows |
| Data Analyst | Interprets usage and performance data |
| Architect | Designs system structure |
| Deep Researcher | Conducts advanced research |
| SEO Specialist | Optimizes for search visibility |
The platform also includes a template library to help users prompt and coordinate agents effectively. Wu frames this as part of a broader shift he calls “silicon scaling.”
“In the future, silicon-based labour [AI and robots] will be scaled infinitely, while carbon-based labour [human beings] becomes less important,” Wu said. “Silicon will optimise silicon,” he added, arguing that productivity could increase dramatically as AI systems iterate on themselves. “Human ideas and trust will matter more.”
Early Traction and Global Reach
Atoms has gained significant traction since its launch. Within its first month in February 2025 — when it was still branded as MGX — the platform:
- Registered 500,000 users globally
- Reached US$1 million in annual recurring revenue
By September last year, the company reported:
- 1.2 million monthly visits
- More than 10,000 applications generated per day
- Paying users in over 100 countries
Atoms generates revenue through subscriptions and credits required to run tasks. Wu said future revenue could also come from commercial success of applications built on the platform.
DeepWisdom currently employs about 100 people and expects to double that headcount by April next year.
Related Article: Reimagining Traditional Workflows With AI Agents
Why Atoms Grew Quickly
Wu attributes Atoms’ early momentum to three core elements:
1. The 'Academic Loop' Culture
The company built a culture of structured, evidence-based debate before launching the product, according to Wu. Employees are expected to assess claims critically and clarify the level of evidence supporting them.
“We believe innovation is not driven by a single genius, but emerges from a series of ‘atomic’ breakthroughs built through many small advances.”
He describes this feedback-driven approach as the "Academic Loop," which organizes collective intelligence into sustained innovation.
2. Research-Driven Development
Atoms is rooted in academic research initiatives including Foundation Agents, the Agent Protocol and User Agents. The broader research network includes more than 20 published papers and collaboration with leading universities.
Wu also leads Foundation Agents, an organization focused on coordinating researchers and tracking developments in AI.
3. Open-Source Commitment
DeepWisdom’s open-source projects have helped build credibility in the developer community. OpenManus, an open-source alternative to Manus, received more than 100,000 GitHub stars, according to Wu.
“Open source is central to our long-term strategy,” he said, adding that it accelerates innovation and attracts global talent.
The United States as a Strategic Next Step
DeepWisdom is now preparing for expansion into the United States, which Wu describes as a decisive proving ground. He pointed to three reasons:
- The US hosts the world’s most advanced AI competition
- US users are early adopters who push products to edge cases
- The country concentrates leading AI labs and research institutions
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“Competing against top-tier players is the fastest way to stress-test our architecture and accelerate our internal academic loop,” said Wu. Proximity to frontier research, he added, helps prevent technical drift and ensures the platform evolves alongside the latest developments.
Related Article: Why the US and China Are Betting on Different AI Futures
Aiming for the 'Rise of the Super-Individual'
Wu said success will not be measured primarily by raw user growth. “Success for us looks like ‘The Rise of the Super-Individual.’”
Within a year, he hopes to see US-based solo founders producing output traditionally associated with 50-person teams. “Our primary success metric is not raw user growth, but validated outcomes. We want clear, repeatable case studies.”
Ultimately, Wu envisions a future where individuals can build and scale businesses independently.
“Our definition of success is: when individuals can meaningfully disrupt industries from their living rooms by compressing capital, labor and time into software.”
As AI agents increasingly coordinate and execute tasks autonomously, DeepWisdom aims for Atoms to become infrastructure for that shift, where headcount shrinks, but ambition does not.