At AIOS, we don't believe in general-purpose AI models. We believe that while AI can be general purpose, most use cases demand specific knowledge.

Hence, instead of building a one-size-fits-all model, we'll focus on building audience and use-case specific models.

There are two reasons for this:

  • Targeted models are easier to fine-tune thanks to more direct and immediate feedback loop

  • Targeted models have stronger commercial viability since they can be put to use immediately in end use

Our AI models will be modular, i.e. you will be able to plug them anywhere, as well as plug them into each other. Thus, a SEO content model can be plugged into a social media image generation model directly. In the near future, when AI agents become more widespread, the agent can get each model to "talk" to each other. In our example, this would mean an automated content generation pipeline where an AI agent is able to get production-ready content and image assets.

We believe such "pipelines" will be the future of AI-led creation as they allow both humans and AI agents to produce commercially viable assets from a single interface.

At launch, we will have a single general-purpose image generation model. However, we will continue adding more fine-tuned models over time.

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