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Because we believe the future of AI untuk PKS is not just about access to powerful models. It is about making AI easier, lebih murah, and more practical to use in real operations.

Today, many AI alatan are impressive, but the challenges remain: multiple subscriptions, rising token costs, workflows that do not fully fit the business, and heavy dependence on external providers.

That is why we are building our own AI agen as a development layer. The goal is simple: a founder, operator, teacher, site supervisor, or any domain expert should be able to describe a real problem and use AI to help build a website, application, automation, or operational system.

At the same time, we are working on model distillation to create a lebih kecil, more focused model for practical PKS use cases. We are not trying to build the biggest model. We are trying to build one that is good enough for the task, lebih murah to run, easier to deploy, and more controllable.

Our direction is straightforward:

Describe the problem → AI builds the system → PKS operates it.

If AI is going to create real value for PKS, it has to become accessible, affordable, and operational — not just impressive in a demo.

That is why we are building our own stack.

#AI #AgenticAI #AIAgent #LLM #ModelDistillation #PKS #Automasi #AINNA #NeuralOps #SovereignAI