NetClass wins Outstanding Case Award for AI education

The system analyzes language components through specialized agents and includes instructor review for open-ended dialogue and composition.

Available on EDGAR 10/30/2026 - 04:30 PM EDT Accepted by SEC EDGAR 10/30/2026 - 04:30 PM EDT Learn about SEC filing dates

Rhea-AI Filing Summary

NetClass Technology Inc (NTCL) received the Outstanding Case Award at the 2026 Digital Lifelong Learning International Conference for its case study on multi-agent foreign-language education. Held October 16–17, 2026, at Shanghai Open University, the conference was co-organized by the university, the UNESCO Institute for Lifelong Learning and the UNESCO Institute for Information Technologies in Education. The case was selected from a nationwide pool of submissions on AI-empowered smart learning ecosystems.

NetClass said its proprietary AI English Go system and CEPA assessment engine use specialized agents to analyze pronunciation, vocabulary, grammar, discourse structure and pragmatic usage. The software also uses confidence score fusion, anomaly flagging and dynamic routing, with human instructor review for open-ended oral dialogue and composition. Deputy General Manager Jing Wang presented the case study.

Key Terms

multi-agent architectures, large language models (LLMs), confidence score fusion, anomaly flagging, +1 more

5 terms

multi-agent architectures technical

"multi-agent architectures and large language models (LLMs)"

A multi-agent architecture is a software design in which a system’s behavior emerges from multiple autonomous ‘agents’—independent programs or processes—that interact, coordinate, or compete to perform tasks. Each agent has its own goals, capabilities, and information, and agents communicate through defined protocols (messages, shared environments, or marketplaces); the overall system can be centralized (a coordinator directs agents) or decentralized (agents negotiate or respond to local signals). This architecture is used to split complex problems into specialized roles, enable parallelism and fault tolerance, and produce coordinated outcomes through interaction rules, though it also introduces design complexity around agent communication, consistency, and conflict resolution.

large language models (LLMs) technical

"multi-agent architectures and large language models (LLMs)"

Large language models (LLMs) are advanced computer programs trained on massive amounts of text to generate, summarize, translate and understand human-like language. For investors they matter because LLMs can act like a very fast, experienced research assistant—automating customer service, speeding product development and cutting costs—while also creating new revenue opportunities and regulatory, accuracy and ethical risks that can affect a company’s profits and reputation.

confidence score fusion technical

"incorporates confidence score fusion"

anomaly flagging technical

"anomaly flagging, dynamic routing"

CEPA assessment engine technical

"AI English Go instruction system and CEPA assessment engine"

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What award did NTCL receive at the 2026 Digital Lifelong Learning International Conference?

NTCL received the Outstanding Case Award for its case study on multi-agent foreign-language education. The case was selected from a nationwide pool of submissions on AI-empowered smart learning ecosystems.

How does NTCL's language system review open-ended assignments?

The software uses confidence score fusion, anomaly flagging and dynamic routing, and includes human instructor review for open-ended assignments such as oral dialogue and composition.

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

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UNITED STATES

SECURITIES AND EXCHANGE COMMISSION

Washington, D.C. 20549

FORM 6-K

REPORT OF FOREIGN PRIVATE ISSUER

PURSUANT TO RULE 13a-16 OR 15d-16

UNDER THE SECURITIES EXCHANGE ACT OF 1934

For the month of October 2026

Commission File Number:001-42440

NETCLASS TECHNOLOGY INC

Unit 11-03, ABI Plaza

11 Keppel Road

Singapore 089057

(Address, including zip code, and telephone number, including area code, of Registrant’s principal executive offices)

Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F:

Form 20-F x Form 40-F ¨

On October 30, 2026, Netclass Technology Inc (the “Company”) published a press release titled “NETCLASS TECHNOLOGY INC Receives Outstanding Case Award for Its Multi-Agent AI Language Teaching System at 2026 Digital Lifelong Learning Conference”. A copy of the press release is furnished as Exhibit 99.1 to this Report on Form 6-K and is incorporated herein by reference.

EXHIBIT INDEX

Exhibit No.		Description
99.1		Press Release, dated October 30, 2026, titled “NETCLASS TECHNOLOGY INC Receives Outstanding Case Award for Its Multi-Agent AI Language Teaching System at 2026 Digital Lifelong Learning Conference”

SIGNATURES

Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized.

	Netclass Technology Inc
Date: October 30, 2026	By:	/s/ Jianbiao Dai
	Name:	Jianbiao Dai
	Title:	Chief Executive Officer

Exhibit 99.1

NETCLASS TECHNOLOGY INC Receives Outstanding Case Award for Its Multi-Agent AI Language Teaching System at 2026 Digital Lifelong Learning Conference

· Project Recognized by UNESCO IITE, UIL, and Shanghai Open University for AI-Driven Education Innovation

· Proprietary AI English Go and CEPA Platforms Combine Multi-Agent Architecture with Automated Diagnostics and Teacher Review

· System Scaled to Nearly 100 Institutions, Supporting Over 40,000 Students and Three Accredited Shanghai University Courses

SINGAPORE and HONG KONG, October 30, 2026 – NETCLASS TECHNOLOGY INC (Nasdaq: NTCL; the “Company” or “NetClass”), a B2B smart education IT solutions provider with offices in Shanghai, Hong Kong, Singapore and Tokyo, today announced that its case study on multi-agent foreign language education received the Outstanding Case Award at the 2026 Digital Lifelong Learning International Conference.

The conference was held on October 16-17, 2026, at Shanghai Open University, co-organized by Shanghai Open University, the UNESCO Institute for Lifelong Learning (UIL), and the UNESCO Institute for Information Technologies in Education (UNESCO IITE). NetClass’s case, titled “Multi-Agent Collaboration-Driven Foreign Language Teaching Assessment and Personalized Learning Support Practice,” was selected from a nationwide pool of submissions on AI-empowered smart learning ecosystems.

The recognized initiative applies multi-agent architectures and large language models (LLMs) to common constraints in conventional foreign language instruction, such as limited oral practice, delayed grading feedback, and the difficulty of converting evaluation metrics into tailored lesson plans. Built on the Company’s proprietary AI English Go instruction system and CEPA assessment engine, the platform coordinates specialized agents to analyze discrete language components, including pronunciation, vocabulary, grammar, discourse structure, and pragmatic usage. To address common LLM output variance and explainability issues, the software incorporates confidence score fusion, anomaly flagging, dynamic routing, and human instructor review for open-ended assignments like oral dialogue and composition.

At the conference, NetClass Deputy General Manager, Jing Wang, presented the case study and participated in discussions with academic researchers and industry peers on practical integration methods for AI in higher education.

"Receiving this recognition from prestigious institutions like UNESCO IITE and UIL validates our conviction that multi-agent AI architectures represent the future of educational technology," said Dr. Jianbiao Dai, Chairman and Chief Executive Officer of NetClass. "Language teachers frequently spend excessive hours on routine error correction rather than direct instruction. By assigning discrete evaluation tasks to specialized software agents with human-in-the-loop controls, our platform provides reliable, diagnostic feedback that faculty can use in real time. This award fuels our strategic ambition to continuously push the boundaries of applied AI, expanding our multi-agent framework across broader subjects, diverse languages, and new global markets to fundamentally redefine digital education. "

About NETCLASS TECHNOLOGY INC

NETCLASS TECHNOLOGY INC is a B2B smart education specialist with offices in Shanghai, Hong Kong, Singapore, and Tokyo, providing innovative IT solutions to schools, training institutions, corporations, public agencies, and other organizations. The Company’s services include SaaS subscription services and application software development, and, through its joint venture, interactive AI companion smart hardware, with solutions spanning teaching and campus management, online teaching, examinations, epidemic prevention, data storage, EDC (Education Credit) blockchain systems, and lecturer evaluation services. The Company’s mission is to deliver reliable, high-quality products that drive sustainable growth for our customers. For more information, please visit the Company’s website: https://ir.netclasstech.com

Forward-Looking Statements

All statements other than statements of historical fact in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company’s current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy and financial needs. Investors can identify these forward-looking statements by words or phrases such as “approximates,” “believes,” “hopes,” “expects,” “anticipates,” “estimates,” “projects,” “intends,” “plans,” “will,” “would,” “should,” “could,” “may” or other similar expressions. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent occurring events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect its future results in the Company’s most recent Annual Report on Form 20-F and other filings with the U.S. Securities and Exchange Commission.

For investor and media inquiries, please contact:

NETCLASS TECHNOLOGY INC

Investor Relations

Email: ir@netclasstech.com

Jackson Lin

LLYC

Email: jian.lin@llyc.global

Filing Exhibits & Attachments

1 document

Press Releases

• EX-99.1 EXHIBIT 99.1 12.3 KB