Public Large Language Models (LLMs) offer powerful capabilities but present significant challenges for enterprises—ranging from high inference costs and hallucination risks to data security, compliance, and residency concerns. Custom AI solutions overcome these limitations by delivering tailored, domain-specific intelligence that is accurate, cost-efficient, and fully aligned with enterprise requirements. 
 

By fine-tuning models to organizational data, custom AI ensures reliability, reduces operational expenses, and eliminates dependency on external, unsecured systems. These solutions build comprehensive enterprise intelligence by unifying knowledge across silos, enabling context-aware decision-making at scale. Moreover, they prioritize stringent controls over data residency and compliance, ensuring adherence to global standards.