360 Introduces "Nano Work": An AI Platform Designed for Small Business Efficiency

On July 28, Zhou Hongyi, founder of 360 Group, officially launched the company's new enterprise AI work platform—Nano Work. Positioned as "built for business AI transformation," the platform targets business owners, entrepreneurs, solo entrepreneurs, and employees. Its core idea is to enable more efficient organizational collaboration through artificial intelligence.

Beyond Tools: Enabling "Super Organizations"

Unlike standalone AI tools on the market, Nano Work aims to tackle efficiency at an organizational level. It doesn’t just offer smart features—it focuses on reshaping workflows and collaboration through AI. For small and medium-sized businesses with limited resources, this integrated approach could be more appealing than fragmented solutions.

During the launch, Zhou Hongyi emphasized practicality: "We care about how AI can actually help businesses save money, earn more, and improve efficiency—not just technology for its own sake."

Substantial Support: 100 Million Free Tokens + Guided Implementation

To lower the barrier to entry, 360 is offering the first batch of users 100 million tokens each for trial. Tokens serve as the basic unit for accessing AI services on the platform, providing enough capacity for thorough testing and exploration.

More importantly, 360 is pairing this with professional training and guided implementation services. The company plans to help the first 1,000 small businesses adopt AI and improve operational efficiency—suggesting that Nano Work is more than a software product; it’s a complete implementation package.

  • Role-based training: Hands-on courses tailored to different positions
  • Implementation support: Expert guidance during key rollout phases
  • Impact tracking: Focus on tangible business improvements from AI tools

Market Positioning: Finding a Niche in a Competitive Field

The enterprise AI market is crowded, with major tech firms rolling out their own solutions. Nano Work is carving a niche by focusing on SMEs, differentiating itself through generous trial offers and hands-on support. This "try before you commit" model is especially appealing to cost-sensitive, cautious small business owners.

Ultimately, the platform’s success will depend on how well it addresses real pain points for small businesses and delivers simple, effective solutions. As Zhou Hongyi noted, "AI shouldn’t be reserved for large companies—small businesses need it and can benefit from it too."