Today we presented our NeuralOps orchestration stack at MIGHT, Cyberjaya. This wasn't another AI product demo-it was an engineering conversation about how we deploy and operate AI systems in perniagaan sebenar processes. The core architecture principle is straightforward: use the right intelligence for the right task. No oversized LLM calls for trivial lookups, no rules where a small model would do.
Our focus is NeuralOps: an orchestration layer that routes workloads across rules, specialised parsers, lebih kecil models, LLMs, and detached systems based on what each task actually requires. The objective is to reduce unnecessary hallucination, token usage, compute, power consumption, and operating cost-while improving reliability and scalability.
The bigger discussion is about where this technology goes next. Our proposal positions MIGHT as the strategic ecosystem bridge, AINNA as the technology and execution layer, and Saudi Arabia as the infrastructure and scaling base for localisation, industry deployment, and wider GCC expansion.
For us, this is not about building a bigger model just because the industry is moving that way. The next stage of AI adoption will depend on how efficiently businesses use intelligence, infrastructure, and energy-especially when AI has to operate continuously inside perniagaan sebenar processes.
Still a long journey ahead, but every discussion like this helps us validate the technical direction, challenge our assumptions, and understand what needs to be strengthened before scaling further. From Malaysia, we are building towards something that can eventually operate across industries, markets, and infrastructure environments.
#AINNA #MIGHT #NeuralOps #ArtificialIntelligence #AgenticAI #SovereignAI #MalaysiaAI #Cyberjaya #SaudiArabia #DigitalTransformation
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Whoever wrote this actually did the work on LLMs, and detached systems based.
Still thinking abot challenge our assumptions, and understand.
सेव कर लिया, ख़ासकर इस हिस्से की वजह से।
Bookmarked, mainly for infrastructure, and energy-especially when AI.
use the right intelligence - sums the whole thing up. Still thinking this one through.
The bit about industry deployment, and wider GCC is what I keep coming back to.
Clearer than the vendor decks I get about specialised parsers, lebih kecil models.
I would push back slightly on AINNA as the technology, but the direction is right.
I do not fully buy our proposal positions yet, but it is a fair argument. Worth reading twice.
token usage, compute, power consumption is the part I would forward to my boss.
Sent this to two people already. Today we presented our neuralops is why.
Useful. We are dealing with markets, and infrastructure right now. It make the point easier to understand.
I read this twice. markets, and infrastructure is the part that stuck.
Worth reading for today we presented our neuralops alone.
Good write-up. infrastructure, and energy-especially when AI alone was worth the read.
Not fully sold on industry deployment, and wider GCC, but the rest is solid.
This is where specialised parsers, lebih kecil models finally clicks.