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 easier, cheaper, and more practical to use in real operations.
今天, many AI 工具 are impressive, but the challenges remain: multiple subscriptions, rising token costs, 工作流 that do not fully fit the business, and heavy dependence on external providers.
That is why we are building our own AI agent as a development layer. The goal is simple: a founder, operator, teacher, site supervisor, or any domain expert should be able to describe a real problem and use AI to help build a website, application, automation, or operational 系统.
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 good enough for the task, cheaper to run, easier to deploy, and more controllable.
Our direction is straightforward:
描述 the problem → AI builds the 系统 → 中小企业 operates it.
If AI is going to create real value for 中小企业, it has to become accessible, affordable, and operational - not just impressive in a demo.
That is why we are building our own stack.
#AI #AgenticAI #AIAgent #LLM #ModelDistillation #中小企业 #自动化 #AINNA #NeuralOps #SovereignAI
