Today, we had the opportunity to present AINNA at MIGHT, Cyberjaya. This pitch wasn't just about showcasing another AI product – it was about sharing how we're building an AI architecture that truly serves the people we work with, centred on one simple principle use the right intelligence for the right task.
Our focus is NeuralOps: an orchestration layer that routes workloads between rules, specialised parsers, smaller models, LLMs and detached systems, depending on what each task actually requires. The aim is simple – cut down on wasted resources like hallucination, token usage, compute and power, while improving reliability and scalability for the businesses we serve.
Beyond the technical details, we explored the bigger picture. Our proposal would see MIGHT acting as a strategic ecosystem bridge, AINNA providing the technology and execution layer, and Saudi Arabia serving as an infrastructure and scaling base for localisation, industry deployment, and wider GCC expansion. For Malaysian SMEs, this opens up new possibilities to grow beyond borders.
We're not obsessed with building bigger models just to keep up with trends. What matters is how efficiently businesses can use intelligence, infrastructure and energy – especially when AI operates round-the-clock within real business processes. Our customers need solutions that are both powerful and practical.
We know the journey is far from over, but every discussion like this brings us closer to our goal. It helps us validate our direction, revisit our assumptions, and strengthen what needs to be fixed before we scale further. From Malaysia, we're building towards a future where AI serves businesses across industries and markets seamlessly.
#AINNA #MIGHT #NeuralOps #ArtificialIntelligence #AgenticAI #SovereignAI #MalaysiaAI #Cyberjaya #SaudiArabia #DigitalTransformation
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we're building towards a future - that is the whole thing in one line.
The bit about token usage, compute and power is what I keep coming back to.
Sent this to two people already. infrastructure and energy is why.
Useful. We are dealing with what matters right now.
Bookmarked, mostly for specialised parsers, smaller models, LLMs.
I read this twice. industry deployment, and wider GCC is the part that stuck.
I do not fully buy today, we had the opportunity yet, but it is a fair argument. It make the point easier to understand.
Terus terang, cut down on wasted resources ni menarik.
Saya kurang setuju sikit pasal cut down on wasted resources, tapi arah dia betul.
Not fully sold on round-the-clock, but the rest is solid.
Worth reading just for cut down on wasted resources.
还在消化这个主题这一段。