The Shift from General-Purpose AI to Task-Specific Intelligence
The next phase of enterprise AI is not bigger models, but better-controlled ones.
Across regulated industries and government, organizations are moving from general-purpose Large Language Models to task-specific Small Language Models designed for bounded workflows, predictable behavior, and operational governance.
This shift addresses AI risk, cost, and accountability. Domain-adapted SLMs are easier to validate, cheaper to operate, and significantly more reliable in production—especially for multilingual, compliance-driven environments.
Pangeanic has engineered language-focused neural systems for two decades, through EU-funded language technologies and secure enterprise deployments. This positions us to operationalize the shift from AI experimentation to governed infrastructure.