b. Ownership Solution

Ensuring Fair Control and Credit Allocation

Ownership is a critical aspect of decentralized AI, spanning three key domains:

1. Application Ownership – AI developers should retain full control over their applications rather than be bound by restrictive centralized platforms.

2. Model Ownership – AI models must remain accessible to developers without proprietary restrictions while ensuring fair credit to contributors.

3. Data Ownership – Data contributors should have explicit control over how their datasets are used, preventing unauthorized exploitation.

In the current AI landscape, centralized ownership stifles innovation and limits participation, as access to models and computing resources remains restricted by a few major entities. HolmesAI disrupts this model by integrating open-source AI frameworks and enabling IMO (Initial Model Offering) models, ensuring that developers can freely access, utilize, and contribute to AI advancements without barriers. This approach fosters a more open and collaborative AI ecosystem, where innovation thrives through shared development and equitable ownership.