Domain-Specific AI Models

Businesses building products on top of large, general-purpose AI models face significant challenges. They operate with thin or negative margins due to high API costs and struggle to create a defensible business 'moat' as their core technology is easily replicated. This leads to a volatile ecosystem where startups are dependent on the pricing and strategy of a few large AI providers.

The solution is to create smaller, highly optimized AI models trained for specific domains, such as legal contract analysis, financial auditing, or specialized software engineering. These models can be self-hosted by enterprise customers, drastically reducing operational costs, ensuring data privacy, and providing superior performance for their niche application. This creates a sustainable business with a strong competitive advantage.