Large language models (LLM) are taking the business world by storm. They make jokes, chat with people and break down complicated subjects into simple explanations. However, business use cases need more concrete utilities. Specifically, data privacy as well as custom models for proprietary business roles. Current state-of-the-art models put data privacy at risk since capable models are very large. They cannot be feasibly deployed locally, and the cost of model customization is very high due to both model size as well as data labeling. At HyperbeeAI, we strive to overcome these two problems by developing extremely capable and compact language models with significantly smaller footprints for local deployment.

HIVE™ is equipped with a conversational AI module that interacts with users to find what they need in enterprise use cases.