We already have AINNA WebCLI built and running in production as part of our Agent AI infrastructure.
Behind it sits NeuralOps - combining Smart Routing, Sistem Berasingan, specialised parsers and multi-model orchestration to decide when AI is actually needed, which model should take the call, and when a task should bypass the LLM entirely.
For routine workflows, this architecture can cut unnecessary token usage by up to 90%.
Our moat is the architecture, workflow intelligence and execution efficiency behind the agen.
#AINNA #NeuralOps #AgentAI #AIInfrastruktur #WebCLI #EnterpriseAI



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Bahagian 9 tu yang buat saya fikir lama.
Useful. We are handling workflow intelligence and execution efficiency right now.
Already sent this to two people. multi-model is why.
First piece I have read that treats up to 9 90% honestly.
Short and clear. which model should take is worth sending to my team.