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CLPS Incorporation Launches Enterprise AI Knowledge Assetization Project Athena to Enhance Business Efficiency, Service Quality, and Protect Core Intellectual Asset

Rhea-AI Impact
(High)
Rhea-AI Sentiment
(Positive)
Tags
AI

CLPS (Nasdaq: CLPS) launched Athena, an enterprise AI knowledge assetization platform that centralizes dispersed documents, media, and CRM data into an intelligent knowledge base. Using multimodal extraction, LLMs, vector databases, and self-evolving agents, Athena targets faster knowledge retrieval, higher pre-sales efficiency, better client service, and stronger protection of core intellectual assets.

CLPS expects knowledge search to drop from hours to seconds and pre-sales solution delivery efficiency to rise by over 50%, while permission controls aim to maintain data security.

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AI-generated analysis. How Rhea-AI works. Not financial advice.

Positive

  • Knowledge retrieval time reduced from hours to seconds, according to CLPS expectations
  • Pre-sales solution delivery efficiency expected to improve by more than 50%
  • Enterprise-wide knowledge centralized across documents, images, audio, and CRM systems
  • Self-evolving AI feedback loop designed to improve answer quality over time
  • Permission-based access framework intended to protect core intellectual assets
  • Platform aims to support product innovation, market expansion, and strategic decisions

Negative

  • None.

What This Means

This announcement deepens CLPS’s AI strategy by internalizing knowledge through Athena, targeting >5...
Analysis

This announcement deepens CLPS’s AI strategy by internalizing knowledge through Athena, targeting >50% efficiency gains in pre-sales work. Prior AI news has produced modest average moves, while an effective US$80,000,000 shelf still presents potential dilution risk.

Key Figures

Pre-sales efficiency gain: more than 50%
1 metrics
Pre-sales efficiency gain more than 50% Expected improvement in pre-sales solution delivery efficiency from Athena

Peers on Argus

At publication, CLPS was modestly higher pre-headline while three high-affinity ...
3 Down

At publication, CLPS was modestly higher pre-headline while three high-affinity peers screened in momentum were all moving down, indicating CLPS’s setup diverged from a broader weak tone in related names.

Previous AI Reports

5 past events · Latest: Jun 03 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 03 AI R&D overhaul Positive -3.7% Announced AI Rainstorm Factory model and AI server clusters to streamline R&D.
Mar 12 AI migration launch Positive +2.4% Launched AI-driven COBOL-to-Java migration solution after successful bank PoC.
Sep 11 AI modernization win Positive +2.9% Used AI to modernize 30-year mortgage system with high automation and savings.
Jun 06 AI suite unveiling Positive +2.1% Unveiled CLPS AI solutions suite with multiple PoCs and a JV for expansion.
Feb 21 AI committee setup Positive -5.9% Formed AI Innovation Committee to drive GenAI and automation strategy.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tag news for CLPS has produced mixed reactions, with several positive pops but also notable selloffs, aligning with a small average move of about -0.43%.

Historical Comparison

-0.4% avg move · Over the past six months, five AI-tag announcements have typically produced only small single-day mo...
AI
-0.4%
Average Historical Move AI

Over the past six months, five AI-tag announcements have typically produced only small single-day moves around -0.43%. This new Athena AI initiative continues the same strategic theme of internal AI deployment and productization.

AI-related history shows a clear progression from forming an AI committee, to launching external AI solutions and migration tools, to restructuring R&D, with Athena extending that roadmap into enterprise knowledge assetization.

Regulatory & Risk Context

Active S-3 Shelf · US$80,000,000 · Short Interest: 0.05%
Shelf Active
Short Interest
0.05% of float
0% 15% 30%+
low as of 2026-06-15 Days to cover: 1

Reported short interest appears relatively low, suggesting limited short-squeeze potential and a lower likelihood of outsized volatility driven purely by short covering.

Active S-3 Shelf Registration 2025-10-24
US$80,000,000 registered capacity

An effective Form F-3 shelf allows CLPS to issue up to US$80,000,000 of securities through 2028, providing funding flexibility but also potential future dilution if primary offerings are executed.

Key Terms

large language models, vector databases, optical character recognition, semantic summarization
4 terms
large language models technical
"Leveraging advanced technologies including multimodal knowledge extraction, large language models (LLMs), vector databases"
Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.
vector databases technical
"large language models (LLMs), vector databases, self-evolving artificial intelligence (AI) agents"
A vector database is a specialized storage system that keeps information as compact numerical patterns so computers can quickly find things that are similar in meaning, style, or context rather than by exact words. For investors, that matters because it powers faster, more accurate searches and AI analysis of large document sets—helping spot trends, risks, or opportunities in news, filings and other unstructured data much like a smart index or trained search engine.
optical character recognition technical
"Through technologies such as optical character recognition (OCR), speech recognition, document layout analysis"
Optical character recognition (OCR) is software that reads printed or handwritten text in images or scanned documents and turns those letter shapes into editable, searchable digital text. Investors care because OCR lets companies extract financial data, contracts, invoices and regulatory filings quickly and with fewer errors, cutting manual work and speeding analysis. Think of it as converting a filing cabinet into a searchable spreadsheet so decisions and audits happen faster and cheaper.
semantic summarization technical
"document layout analysis, and semantic summarization, the platform automatically extracts"
Semantic summarization is an automated process that distills the key meaning and intent from a longer text into a short, readable summary that preserves the original message rather than just chopping sentences. For investors, it turns lengthy filings, press releases, or research reports into quick, accurate takeaways—like having a knowledgeable analyst highlight what matters—so users can spot risks, opportunities, or action items faster without missing important nuance.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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HONG KONG, July 2, 2026 /PRNewswire/ -- CLPS Incorporation (the "Company" or "CLPS") (Nasdaq: CLPS) today announced the launch of Athena, its enterprise AI knowledge assetization project designed to enhance operational efficiency, improve service quality, and safeguard the Company's core intellectual assets.

Leveraging advanced technologies including multimodal knowledge extraction, large language models (LLMs), vector databases, self-evolving artificial intelligence (AI) agents, and LLM Wiki knowledge weaving, Athena consolidates critical knowledge assets—such as product capabilities, solution implementations, testing methodologies, and AI best practices—that were previously dispersed across documents, images, audio recordings, and Customer Relationship Management (CRM) systems into an interactive, reasoning-enabled intelligent knowledge base.

Athena is designed to empower the Company's sales, pre-sales, delivery, and client management teams by improving client service efficiency, solution development quality, and strategic decision-making capabilities, while establishing a long-term competitive advantage through the protection and utilization of the Company's core intellectual assets.

Multimodal Perception: From People Searching for Documents to Systems Understanding Knowledge

Over the years, the Company has accumulated extensive knowledge assets, including product materials for solutions such as CAKU and Nibot, financial and non-financial industry solutions and testing expertise, e-commerce and banking delivery experience, AI methodologies, and other institutional knowledge. These resources are stored across multiple formats—including Word documents, PDFs, PowerPoint presentations, spreadsheets, images, and audio files—and distributed across various locations.

Through technologies such as optical character recognition (OCR), speech recognition, document layout analysis, and semantic summarization, the platform automatically extracts and structures heterogeneous information. The information is then vectorized, segmented, embedded, and stored within a vector database, creating a unified knowledge foundation.

Knowledge Weaving: From Document Repositories to Knowledge Networks

Fragmented knowledge bases remain a significant operational bottleneck for modern enterprises, often forcing users to manually synthesize information across isolated documents. Athena directly addresses this inefficiency by leveraging advanced LLM Wiki pattern, which automatically transforms unstructured, raw documents into a seamlessly navigable, interlinked knowledge network. Consequently, when users query the system, Athena bypasses traditional disjointed search results. Instead, it retrieves and contextualizes answers directly from within this structured network, delivering comprehensive and actionable insights.

Intelligent Interaction: From Keyword Search to Direct Answers

Traditional knowledge retrieval relies heavily on keyword matching and often struggles to address the diverse needs of different roles, including sales, pre-sales, and delivery teams. Through Athena, employees can simply ask questions in natural language. Intelligent agents automatically perform retrieval, reasoning, and planning processes to deliver precise answers rather than lists of documents, significantly reducing the time and effort required to access information.

Athena supports multi-turn dialogue and contextual understanding, providing targeted responses based on conversational context—much like a knowledgeable colleague with access to the Company's collective expertise. For high-frequency scenarios such as client visits, pre-sales presentation preparation, and bidding strategy development, Athena enables near real-time knowledge support.

SelfEvolving Feedback Loop and Permission Isolation: Ensuring Answer Quality and Data Security

The platform incorporates a built-in feedback mechanism that allows users to provide positive or negative evaluations of responses. Automated inspection agents periodically analyze feedback data, diagnose potential issues, and optimize the knowledge base structure, retrieval strategies, and agent workflows. Through self-evolving technology, the platform continuously improves over time, becoming more accurate with ongoing usage.

At the same time, Athena has implemented a strict permission isolation framework based on business hierarchy and confidentiality levels, ensuring that employees can access only the knowledge within their authorized scope while maintaining an appropriate balance between information sharing and data security.

Triple Value: Operational Efficiency, Asset Protection, and Innovation-Driven Growth

  • Operational Efficiency Gains: Employees no longer need to conduct repetitive cross-functional inquiries or manually search through massive documentations. Knowledge retrieval time can be reduced from hours to seconds, and the Company expects pre-sales solution delivery efficiency to improve by more than 50%.
  • Core Asset Protection: Athena transforms accumulated institutional knowledge into a company-wide digital asset, effectively mitigating the risk of knowledge loss due to employee turnover while strengthening the Company's long-term competitive advantage.
  • Decision-Making and Innovation Enablement: By aggregating and correlating knowledge across projects, business functions, and industries, the platform can uncover hidden business patterns and growth opportunities, providing data-driven insights to support product innovation, market expansion, and strategic decision-making.

Ms. Zhao Jing, Project Lead, commented: "The rapid advancement of AI technologies over the past year has enabled AI to become a core driver of enterprise innovation and decision-making. Athena is focused on embedding these capabilities into the Company's daily operations. In the past, enterprise knowledge bases were like parking lots for documents—large volumes of information were stored, but it was difficult to find and even harder to utilize. Through Athena, we are transforming the knowledge base into a factory for knowledge. Rather than simply storing documents, AI automatically understands, weaves together, and connects information, turning every document into a node within a knowledge network. Every question employees ask helps make the entire knowledge network smarter."

Mr. Raymond Lin, Chief Executive Officer of CLPS, stated: "Through the AI knowledge assetization project, we are transforming our fragmented core data into a reasoning-enabled, self-evolving intelligent hub that enables employees to obtain precise answers in seconds and significantly improves operational efficiency. At the same time, we are safeguarding the Company's intellectual assets and reducing the risk of knowledge loss associated with workforce mobility. We believe this initiative will substantially enhance pre-sales solution development efficiency and client responsiveness.

"Looking ahead, we envision equipping every employee with an AI-powered digital assistant capable of providing comprehensive access to the Company's collective knowledge. We also plan to explore commercializing these capabilities externally, helping more enterprises unlock the value of their knowledge assets and accelerate their digital transformation journeys."

About CLPS Incorporation

CLPS Incorporation (NASDAQ: CLPS), established in 2005 and headquartered in Hong Kong, is at the forefront of driving digital transformation and optimizing operational efficiency across industries through innovations in artificial intelligence, cloud computing, and big data. Our diverse business lines span sectors including fintech, payment and credit services, e-commerce, education and study abroad programs, and global tourism integrated with transportation services. Operating across 10 countries worldwide, with strategic regional hubs in Shanghai (mainland China), Singapore (Southeast Asia), and California (North America), and supported by subsidiaries in Japan and the UAE, we provide a robust global service network that empowers legacy industries evolve into data-driven, intelligent ecosystems. For further information regarding the Company, please visit: https://ir.clpsglobal.com/, or follow CLPS on Facebook, InstagramLinkedIn, X , and YouTube.

Forward-Looking Statements

Certain of the statements made in this press release are "forward-looking statements" within the meaning and protections of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements include statements with respect to the Company's beliefs, plans, objectives, goals, expectations, anticipations, assumptions, estimates, intentions, and future performance. Known and unknown risks, uncertainties and other factors, which may be beyond the Company's control, may cause the actual results and performance of the Company to be materially different from such forward-looking statements. All such statements attributable to us are expressly qualified in their entirety by this cautionary notice, including, without limitation, those risks and uncertainties related to the Company's expectations of the Company's future growth, deployment in the AI technology sector, performance and results of operations, the Company's ability to capitalize on various commercial, M&A, technology and other related opportunities and initiatives, as well as the risks and uncertainties described in the Company's most recently filed SEC reports and filings. Such reports are available upon request from the Company, or from the Securities and Exchange Commission, including through the SEC's Internet website at http://www.sec.gov. We have no obligation and do not undertake to update, revise or correct any of the forward-looking statements after the date hereof, or after the respective dates on which any such statements otherwise are made.

Contact:

CLPS Incorporation
Rhon Galicha
Investor Relations Office
Phone: +86-182-2192-5378
Email: ir@clpsglobal.com

Cision View original content:https://www.prnewswire.com/news-releases/clps-incorporation-launches-enterprise-ai-knowledge-assetization-project-athena-to-enhance-business-efficiency-service-quality-and-protect-core-intellectual-asset-302816860.html

SOURCE CLPS Incorporation

FAQ

What is CLPS (Nasdaq: CLPS) Project Athena and how does it use AI?

Project Athena is CLPS’s enterprise AI knowledge assetization platform that turns scattered information into a reasoning-enabled knowledge base. According to CLPS, it uses multimodal extraction, large language models, vector databases, and intelligent agents to connect documents, images, audio, and CRM data into an interactive, searchable network.

How will CLPS Athena improve operational efficiency for the company?

Athena is expected to cut knowledge retrieval time from hours to seconds by providing direct answers instead of document lists. According to CLPS, pre-sales solution delivery efficiency is projected to increase by more than 50%, supporting faster client visits, proposal preparation, and bidding strategy development.

How does CLPS Athena protect the company’s core intellectual assets?

Athena turns institutional knowledge into a centralized digital asset, reducing reliance on individual employees. According to CLPS, this approach helps mitigate knowledge loss from workforce mobility while permission-based access controls safeguard sensitive information, balancing knowledge sharing with data security across business units and confidentiality levels.

What are the main features of CLPS Athena’s intelligent interaction capabilities?

Athena lets employees ask questions in natural language and receive direct, contextual answers instead of keyword-based search results. According to CLPS, it supports multi-turn dialogue, role-specific responses, and AI agents that handle retrieval, reasoning, and planning for sales, pre-sales, and delivery scenarios.

How does CLPS plan to use Athena for innovation and decision-making?

Athena aggregates knowledge across projects, functions, and industries to reveal hidden patterns and growth opportunities. According to CLPS, these insights are intended to support product innovation, market expansion, and strategic decision-making, turning the knowledge base from a static repository into a dynamic knowledge “factory.”

Does CLPS intend to commercialize the Athena AI knowledge platform?

CLPS plans to explore external commercialization of Athena’s capabilities after internal deployment. According to CLPS, the goal is to help other enterprises unlock value from their knowledge assets, equip employees with AI-powered assistants, and accelerate broader digital transformation and decision-support initiatives.