January 2026
Why local, domain-trained models outperform general-purpose systems in accuracy, privacy, and control. How domain-specific Small Language Models trained for particular fields can match or exceed the performance of much larger general-purpose systems while providing greater reliability, efficiency, and control.
November 2025
Exploring how domain-specific Small Language Models running on-device achieve comparable performance while using 99% less energy and eliminating water consumption compared to cloud AI.
Exploring the economic advantages of private AI deployment over public cloud services, including cost savings, data sovereignty, and competitive advantage.
