As the AI 系统开发工程师 at AINNA, I am currently helping prepare two pitch sessions at MOSTI Cyberjaya. Both builds started with the same engineering question we keep asking in the lab: how can technology remove friction instead of adding more?
1️⃣ 财务报表 for Street 中小企业
Most street-level 中小企业 do not skip financial statements because they do not care. The existing process is usually too complex, too costly, and too slow, so entrepreneurs keep operating without structured records.
We approached it from a 系统 angle. Rather than forcing users to learn an accounting 系统, we designed a pipeline that learns how entrepreneurs already work.
✅ 第一阶段 is shipped and running.
The pipeline converts bank statements into Excel automatically and is free to use. One architectural decision matters more than the feature itself: AINNA’s servers never store uploaded bank statements. Files are parsed in memory for format conversion only, then discarded. This is not just a privacy policy; it is a 系统 设计 choice. 财务 data belongs to the user, not the platform.
第二阶段 is now in development. We are wiring up automated classification and statement generation so the accountant-level output requires minimal manual input.
The real goal is not just speed. It is making compliant financial record-keeping accessible to street 中小企业 that would otherwise be left out.
2️⃣ AINNA NeuralOps 系统
While the market chases bigger LLMs, we are optimizing the infrastructure that runs them.
The AINNA NeuralOps 系统 is an end-to-end AI infrastructure platform made up of:
• LLM 服务器s
• AI 编排
• AI智能体
• 分离式 架构
Every component is demand-activated. Nothing sits 空闲 burning GPU cycles, electricity, and cooling budget.
That 设计 gives us:
• Higher effective GPU utilization
• 更低 operating cost per inference
• Reduced electricity and cooling load
• A modular, scalable, and more sustainable AI backbone
The next phase of AI will not be won by model size alone. Smarter architecture-routing, orchestration, detached compute, and agent lifecycle management-will decide what is actually deployable at scale.
从 helping street 中小企业 close their books...
...to running 企业-grade AI infrastructure...
AINNA’s mission has not changed. We build 系统 that lower digital barriers, simplify compliance, and put advanced technology within reach of more people.
Not everyone will buy into the approach. But if engineering choices can widen participation and create real opportunities for entrepreneurs, they are worth a serious look.
We hope these two 系统 can contribute something useful to 马来西亚’s innovation ecosystem through the MOSTI platform.
🇲🇾🤲
#MOSTI #Cyberjaya #Ainna #NeuralOps #Artificial智能 #StreetSMEs #财务报表 #企业版AI #LLM #AIAgents #DigitalTransformation #马来西亚Tech #创新
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同意作者对1️⃣ 财务报表 for street 中小企业的判断，方向很清楚。
这篇文章把AINNA’s servers never store uploaded讲得比一般的AI介绍更具体。
关于从 helping street 中小企业 close的例子很实用，适合团队继续讨论。
总结部分让2️⃣ AINNA neuralops 系统的重点更加清楚。
这篇文章适合团队用来开始讨论财务 data belongs。