AKA Launches EOS Sales Knowledge Engine on AWS Marketplace

Unlike conventional AI tools that grade sales representatives on tone or objection handling, EOS anchors every interaction to a company’s own specifications. When a user uploads playbooks or price sheets, the engine creates a verification layer that cross-references live voice or text conversations against those source files. Each claim made by a rep is classified as supported, contradicted, or insufficient, with errors immediately converted into citation-backed quizzes.

This shift targets knowledge-heavy sectors like insurance, finance, and telecommunications, where factual accuracy is a compliance requirement rather than a performance suggestion. According to AKA CEO Raymond Jung, the platform moves beyond participation-based metrics, such as hours spent in training, to focus on quantitative accuracy rates. To accommodate highly regulated industries, the platform isolates customer data from external model training and offers on-premise deployment options for firms with restricted connectivity. Following successful pilots in the consumer-technology and retail sectors, the engine is now available in English, Japanese, and Korean.