# The Problem

Despite its widespread adoption, AI development presents several persistent challenges:

1. **High Costs:** Building custom AI models requires significant financial investment in R\&D, data acquisition, and computational resources.
2. **Complexity:** The technical expertise required to create, train, and deploy AI models excludes non-technical users and small organizations.
3. **Scalability Issues:** Traditional solutions often lack the scalability needed to accommodate businesses of varying sizes.
4. **Lack of Collaboration:** Existing platforms fail to provide open ecosystems where developers and businesses can exchange tools, models, and resources.
5. **Centralized Control:** Centralized platforms limit user autonomy and often involve hidden fees or proprietary restrictions.