While general-purpose LLMs dominate headlines, in real-world use cases they often fall short—too vague, too slow, or too expensive to fine-tune. The new frontier? Small, specialized models built for narrow domains.

That’s where LexaCode AI comes in. The Boston-based company builds lightweight language models tailored for sectors like law, medicine, and customer support—each trained on vetted, domain-specific data and deployed via a private API.

LexaCode’s legal model can summarize complex contracts with jurisdiction-specific nuance in seconds. Its medical product assists in chart review and patient history extraction without touching the open internet—crucial for HIPAA compliance. Unlike massive models, these tools don’t hallucinate nearly as often, and they can be fine-tuned cheaply for individual organizations.

In sectors where accuracy is critical and context is everything, these bespoke AIs are outperforming their larger, more general peers. LexaCode is betting that the future of AI isn’t one giant brain—but millions of focused ones.