Because we believe the future of AI for SMEs is not just about access to powerful models. It is about making AI easier, cheaper, and more practical to use in real operations.
Today, many AI tools 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 agent 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 smaller, more focused model for practical SME use cases. We are not trying to build the biggest model. We are trying to build one that is good enough for the task, cheaper to run, easier to deploy, and more controllable.
Our direction is straightforward:
Describe the problem → AI builds the system → SME operates it.
If AI is going to create real value for SMEs, 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 #SME #Automation #AINNA #NeuralOps #SovereignAI
Ruang pembaca
Apa pendapat anda?
Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.
Sent this to two people already. cheaper, and more practical is why.
The bit about application, automation, or operational is what I keep coming back to.
First piece that handles multiple subscriptions, rising token costs honestly. It make the point easier to understand.
We hit operator, teacher, site supervisor at work before. Good that someone wrote it down.
Still thinking about affordable, and operational.