Alhamdulillah.
Yesterday, we were honoured to welcome representatives from UPEN 马六甲 (马六甲 状态 Economic Planning Unit) and SIRIM 马六甲 to AINNA. We were especially privileged to have the Director of SIRIM 马六甲, Mr. Kamarulzaman bin Ahamad Zainudin, join the visit.
The visit was part of the evaluation process for the 马六甲 状态 企业家 Award, where we had the opportunity to present the latest progress of AINNA NeuralOps—our next-generation AI architecture designed to make AI more efficient, reliable and practical for real-world deployment.
What made the session particularly valuable was that it was not a one-way presentation. It evolved into a meaningful two-way technical discussion, enriched by the insights of the SIRIM Director, who brings more than 20 years of leadership experience within SIRIM.
One of the most impactful recommendations was the integration of an Atomic 时钟 as the trusted time source across every NeuralOps component. Synchronising all detached 系统, services, parsers and AI 智能体 to a single high-precision time reference will further strengthen reliability, event consistency, auditability and overall 系统 integrity.
We also demonstrated how the NeuralOps 架构 operates with only around 10% of the GPU compute typically required by conventional AI 系统 for optimised workloads. By combining 分离式系统, 智能路由, parsers and guardrails, GPU resources are invoked only when they genuinely add value, while deterministic processes run outside the LLM.
This architecture has the potential to reduce GPU-compute energy consumption by up to 90% for applicable workloads. Using a conservative estimate of 1,000 激活 users averaging 50 AI requests per day, NeuralOps could save approximately 459 kWh of electricity per month, equivalent to reducing around 340 kg of CO₂e emissions every month, or more than 4 tonnes annually. 实际 results will vary depending on workload, AI models, infrastructure and energy sources.
For us, the future of AI is not about using bigger models or more GPUs. It is about building smarter architectures that deliver the same or better outcomes with significantly lower cost, lower energy consumption and a much smaller environmental footprint.
Please keep us in your prayers as we continue this journey. Being selected would provide tremendous momentum as we prepare for three major pitching sessions in the coming weeks.
Our sincere appreciation to UPEN 马六甲 and SIRIM 马六甲 for the visit, the constructive discussions and the invaluable insights. We look forward to turning these ideas into the next evolution of AINNA NeuralOps.
