By 2022, we hardened the stack around 4,000 ready-stock SKUs, tightening control over inventory state, fulfillment workflows, 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 workflows into the pipeline, improving throughput and cutting manual cycles.
By 2025, the engineering scope had moved beyond retail into production-grade AI systems: AI Agents, Multi-Agent Architecture, Detached Systems, and Smart Routing for distributed decisioning.
Today, in 2026, we are running the NeuralOps AI Infrastructure Proof of Concept (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 workflows. 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 live business load.
From Retail Operations to AI Infrastructure. This is only the beginning.
#AINNA #NeuralOps #ArtificialIntelligence #AIInfrastructure #EnterpriseAI #SME #DigitalTransformation #Innovation #Entrepreneurship #Automation
Official Cross-Network Resource
Ruang pembaca
Apa pendapat anda?
Komen disemak sebelum diterbitkan. Email diperlukan untuk moderasi dan tidak dipaparkan kepada pembaca.
الأرقام حول 2019 أكثر منطقية من معظم ما قرأت.
The section on AINNA shipped an in-house e-commerce is the strongest part for me.
This is where improving throughput and cutting manual finally makes sense.
Clear and short. Sharing tightening control over inventory state with my team.