The platform consolidates institutional data—ranging from product capabilities and testing methodologies to CRM records—into a single, interactive base. Unlike traditional search tools that rely on keywords, Athena uses multimodal extraction to structure raw files into a navigable web of information. This allows employees across sales, pre-sales, and delivery departments to query the system using natural language, receiving direct answers rather than static document lists.
CLPS Incorporation Launches Athena AI to Centralize Corporate Knowledge
CLPS Incorporation has unveiled Athena, an enterprise-grade AI project designed to transform fragmented internal documents into an interconnected knowledge network. By utilizing large language models and vector databases, the Hong Kong-based firm aims to replace manual information retrieval with automated, reasoning-enabled insights for its global teams.
Project lead Zhao Jing described the transition as moving from a "parking lot for documents" to a "factory for knowledge," where every interaction refines the system's accuracy. The project also introduces a strict permission framework to balance open access with data security. CLPS expects the initiative to reduce retrieval times from hours to seconds and improve pre-sales efficiency by over 50%. Looking forward, CEO Raymond Lin signaled potential plans to commercialize these capabilities, offering other enterprises a path to digitize their own intellectual assets.
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