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.
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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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