Because we believe the future of AI for 中小企业 is not just about access to powerful models. It is about making AI more affordable, more controllable, and more reliable in real operations.
今天, many AI 工具 are impressive on the surface, but the financial challenges persist: multiple subscriptions, unpredictable token costs, 工作流 that don't match actual business processes, and heavy dependency on external vendors.
That is why we are building our own AI agent as a development layer. The goal is to let a founder, operator, teacher, site supervisor, or any domain expert describe a real problem and use AI to build a website, application, automation, or operational 系统—while keeping the total cost of ownership in check.
At the same time, we are working on model distillation to create a smaller, more focused model for practical 中小企业 use cases. We are not trying to build the biggest model. We are trying to build one that is sufficient for the task, economical to run, simple to deploy, and controllable.
Our direction is straightforward:
描述 the problem → AI builds the 系统 → 中小企业 operates it.
For AI to deliver measurable value to 中小企业, it must be accessible, affordable, and operationally reliable—not just impressive in a demo.
That is why we are building our own stack—to manage costs, ensure reliability, and achieve financial predictability.
#AI #AgenticAI #AIAgent #LLM #ModelDistillation #中小企业 #自动化 #AINNA #NeuralOps #SovereignAI
