A meaningful milestone for AINNA.
已选择 from 50 applicants, AINNA is one of 10 companies chosen to pitch before YTM Raja Muda 雪兰莪 under the SAY ASPIRE programme.
We will share the stage with nine other selected companies, each with its own strengths and track record - including one that was a DeepX winner by SIDEC last year. Being part of this cohort reflects the calibre of companies SAY ASPIRE is bringing forward.
从 a 财务 and operations standpoint, this is not simply a pitching event or competition. It is an opportunity to present a commercially sound, operationally viable AI strategy that can deliver measurable value to 马来西亚n 中小企业 and the wider economy.
Through NeuralOps, AINNA is developing an AI approach built around 主权 AI, model distillation, processing efficiency, and ESG accountability.
Our method uses larger, high-capability AI models as teacher models in a distillation process, then transfers that knowledge into smaller, more specialised, and more deployment-efficient models.
The financial and operational 目标 is clear: reduce reliance on external AI infrastructure over time, and build intelligence that can be controlled, optimised, and self-hosted - with stronger governance over data, model, infrastructure, and inference.
By combining AI distillation, 智能路由, specialised processing, and detached 系统, we have reduced processing resource consumption by approximately 90% for specific workloads. That translates directly into lower compute spend, better asset utilisation, and improved unit economics.
We believe the future of AI is not about building ever-larger models alone.
It is about building AI that is more efficient, more specialised, more accountable, more sustainable, and more sovereign.
Less processing. 更少能耗. 更多掌控. Better intelligence. Better world.
We will represent the AINNA and NeuralOps vision to the best of our ability on the SAY ASPIRE stage, while learning and growing alongside the other selected companies.
从 a 马来西亚n 中小企业, towards 主权 智能 for a better world. 🇲🇾
#AINNA #NeuralOps #SAYASPIRE #主权AI #AI蒸馏 #模型蒸馏 #Artificial智能 #SIDEC #DeepX #ESG #可持续AI #马来西亚AI #AI创新 #DigitalTransformation
Ruang pembaca
Apa pendapat anda?
Komen disemak sebelum diterbitkan. 电子邮件 diperlukan untuk moderasi dan tidak dipaparkan kepada pembaca.
这篇文章对从 a 财务 and operations的解释很清楚，实际操作的重点也很容易理解。
文章对reduce reliance on external AI的结论比较平衡，不只是强调好处。
同意作者对of 10 co 10的判断，方向很清楚。
收藏了，主要是为了from 50 ap 50。