By 2022, we hardened the stack around 4,000 ready-stock SKUs, tightening control over inventory state, fulfillment 工作流, and the end-to-end customer experience.
In 2023, we rolled out 200+ own-brand SKUs and integrated LLM-based content generation and marketing-automation 工作流 into the pipeline, improving throughput and cutting manual cycles.
By 2025, the engineering scope had moved beyond retail into production-grade AI 系统: AI智能体, 多-代理 架构, 分离式系统, and 智能路由 for distributed decisioning.
今天, in 2026, we are running the NeuralOps AI 基础设施 证明 of 概念 (POC)-an internal platform layer designed to deliver practical, scalable, and resource-efficient AI for both enterprises and SMEs.
Over that timeline, AINNA has generated RM15 million in total revenue and contributed RM325,000 in tax and zakat.
Our build philosophy is straightforward:
We build what we run.
Every component we release is first deployed against our own operational data and 工作流. We solve real production problems before we productize the solution for other SMEs and enterprises.
The best AI infrastructure is not prototyped in isolation; it is validated against 实时 business load.
从零售运营到 AI 基础设施。这仅仅是开始。
#AINNA #NeuralOps #ArtificialIntelligence #AIInfrastructure #EnterpriseAI #SME #DigitalTransformation #创新 #创业 #自动化
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