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 ☒ Form 40-F
☐
On June 3, 2026, the Company issued a press release,
a copy of which is attached hereto as Exhibit 99.1 and is incorporated herein by reference.
(d) Exhibits.
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.
EXHIBIT 99.1
Source: Ruanyun Edai Technology Inc.
June 03, 2026 09:00 ET
Ruanyun Edai Technology Expands Cogni AI Into Private
AI Platform for Archives, Institutional Records and Enterprise Data
Cogni AI product line supported by approximately
US$1.73 million in historical and contracted commercial activity across archive digitization, AI archive automation, software licensing
and deployment arrangements
Company plans to pursue international distributors
and implementation partners through Formind Global Holdings Sdn. Bhd., its Malaysian Global Headquarters platform
KUALA LUMPUR, Malaysia, June 03, 2026 (GLOBE NEWSWIRE)
-- Ruanyun Edai Technology Inc. (NASDAQ: RYET) (“Ruanyun,” “RYET” or the “Company”), an AI-driven
education and technology company focused on intelligent content recognition, automated assessment, next-generation learning systems and
technology-enabled institutional services, today announced an expanded strategic positioning for Cogni AI, the Company’s private-deployment
AI document intelligence platform for archives, institutional records, enterprise data and knowledge transformation.
Cogni AI is designed to transform scanned, handwritten,
historical, administrative and enterprise documents into structured, searchable and workflow-ready data. The platform is intended for
organizations that require AI-enabled document automation while maintaining customer- controlled data processing environments, including
archives, schools and universities, public-sector service providers, regulated enterprises, legal departments, financial institutions,
research organizations and companies managing proprietary commercial, technical or development records.
The Cogni AI product line is supported by approximately
US$1.73 million (RMB11,700,082.00) in total contracted commercial activity across archive digitization, AI archive automation, software
licensing, annual lease and deployment-related arrangements. Of such total amount, US$415,947 (RMB2,813,071.78) has been recognized as
historical revenue in our books; US$29,572 (RMB200,000.00) is outstanding accounts receivable arising from a single annual-contract customer,
and the remaining US$1,284,481 (RMB8,687,010.22) constitutes contracted but unearned deferred revenue subject to future revenue recognition.
All amounts herein are unaudited and based exclusively on the Company’s internal financial records, and such figures should not
be construed as standard GAAP financial metrics. Company records reflect activity across both legacy digitization and newer AI archive
automation use cases, including multiple signed customer contracts relating to the Company’s “AI large-model archive automation
processing” software.
“Cogni AI reflects our transition from traditional
digitization toward private AI infrastructure for institutional data,” said Maggie Fu, Chief Executive Officer of Ruanyun Edai Technology
Inc. “Many organizations want the productivity of AI, but they also require data governance, localized deployment and customer-controlled
processing. Cogni AI is being developed for this category of customer — organizations that need AI automation while preserving privacy,
control and operational compliance.”
Private AI Architecture for Customer-Controlled
Data Environments
Cogni AI’s product roadmap is built around a
private-deployment architecture for intranet and customer-controlled environments. The architecture contemplates deployment through customer-
owned servers or Company-provided appliances, internal data processing, multimodal OCR, automatic classification, desensitization, knowledge-base
construction, graph databases, vector databases, object storage, local AI model inference, local license gateways, hardware dongles, local
metering and of line update mechanisms.
The Company believes this architecture may provide
a differentiated pathway for customers handling institutional archives, public-sector records, personnel records, education records, legal
files, commercial contracts, board materials, technical records, research data and other high- governance document workflows.
From Archive Digitization to Private Data Refinery
Cogni AI is being developed around four core modules:
Intelligent Archive Factory, Archive Intelligent Q&A, Archive-Assisted Generation and Archive Knowledge Mining. Together, these modules
are intended to support multimodal OCR, automatic catalog extraction, intelligent review, data desensitization, natural language search,
cross-file association, evidence traceability, automated report generation, anomaly reporting and institutional analytics.
Ruanyun believes Cogni AI can evolve beyond conventional
OCR into a private data-refinery platform capable of converting legacy documents and dormant archives into structured institutional knowledge
assets.
“Digitization is no longer only about scanning
paper,” said Maggie Fu. “The next opportunity is to turn historical records, institutional archives and legacy development
data into structured knowledge that can support search, analytics, private AI assistants, retrieval-augmented generation and, where appropriate,
future model-training or fine-tuning datasets. We believe Cogni AI can become an important part of this transformation.”
Global Market and Distribution Strategy
The Company believes Cogni AI is positioned at the
intersection of intelligent document processing, private AI deployment, enterprise knowledge management, data governance, AI-ready dataset
creation and automation of high-volume document workflows.
According to Grand View Research, the global intelligent
document processing market was estimated at approximately US$2.96 billion in 2025 and is expected to reach approximately US$12.35 billion
by 2030, representing a projected compound annual growth rate of approximately 33.1% from 2025 to 2030.
As part of RYET’s global expansion strategy,
the Company intends to use Formind Global Holdings Sdn. Bhd., its Malaysian operating company and planned Global Headquarters platform,
to support the international commercialization of Cogni AI and other Formind technology initiatives. Through Formind Global Holdings,
the Company is now evaluating global distributors, implementation partners and strategic channel relationships for Cogni AI, including
archive digitization companies, systems integrators, public-sector technology solution providers, education and institutional service
providers, enterprise AI consultants, data-governance specialists and regional technology partners.
“With the establishment of our Malaysian Global
Headquarters platform, we are no longer looking at Cogni AI only through the original product lens,” said Maggie Fu. “We believe
Cogni AI can be distributed internationally through partners who understand local compliance, customer deployment requirements, institutional
procurement processes and enterprise data-governance needs. Our objective is to build a global partner network for private AI document
intelligence, beginning with markets where localized deployment and customer-controlled processing are strategic priorities.”
Strategic Fit with Formind Group Transition
RYET is pursuing a transition toward the planned
Formind Group identity as part of its broader global expansion strategy. Cogni AI is expected to support this transition by
extending the Company’s historical capabilities in intelligent content recognition, AI-OCR, automated assessment, education
data processing and digital technology services into broader global markets for private AI infrastructure and institutional data
transformation.
Cogni AI may also complement the Company’s broader
technology roadmap, including HanLink, YeeZo and future Formind platform initiatives, by providing a document-intelligence layer capable
of transforming unstructured records, learning materials, institutional archives and legacy content into structured data that can be searched,
analyzed, summarized and integrated into AI-enabled workflows.
“Cogni AI is strategically important because
it connects our past and our future,” said Maggie Fu. “It builds on our experience in education technology, intelligent recognition
and digital content processing, but it also opens a larger global opportunity in private AI infrastructure, document automation and AI-ready
institutional data.”
About Ruanyun Edai Technology Inc.
Ruanyun Edai Technology Inc. (NASDAQ: RYET) is an
AI-driven education and technology company focused on intelligent content recognition, automated assessment, next-generation learning
systems and technology-enabled educational support services. The Company is committed to delivering scalable, efficient and intelligent
technology solutions globally.
Subject to shareholder approval and completion of
applicable processes, the Company plans to transition to the Formind Group name as part of its broader global strategy. For more information,
please visit: www.ruanyun.net.
For Investor Inquiries and Media Contact:
FSR Capital, a FSR Group Company
Email: ir@fsr.group
Forward-Looking Statements
This press release contains forward-looking statements
within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995 and other applicable U.S.
federal securities laws. Forward-looking statements include, without limitation, statements regarding Cogni AI, private AI deployment,
intranet-based deployment, localized AI inference, document intelligence, AI-OCR, document processing, archive digitization, enterprise
data transformation, AI-ready datasets, potential model-training or fine-tuning use cases, commercial activity, revenue, contract values,
customer adoption, market opportunity, global expansion, international distribution, partner development, Formind Global Holdings Sdn.
Bhd., the Company’s planned transition to the Formind Group identity, and the potential relationship between Cogni AI and other
Company initiatives including HanLink, YeeZo and future Formind platform developments.
Forward-looking statements are based on current expectations,
estimates, forecasts, assumptions and internal records, and involve known and unknown risks and uncertainties that could cause actual
results to differ materially from those expressed or implied by such statements. These risks and uncertainties include, among others,
risks relating to the Company’s ability to develop, commercialize, localize, deploy and scale Cogni AI; enter into, perform and
collect under customer contracts; satisfy revenue recognition criteria; classify and allocate revenue among software, hardware, deployment,
maintenance, upgrade and service elements; convert historical digitization activity into higher-margin AI platform revenue; secure distributors,
implementation partners and strategic channel relationships; retain customers and implementation partners; obtain required customer acceptances;
protect intellectual property and data rights; comply with cybersecurity, data protection, privacy, archive, education, procurement, export
control, AI governance and other applicable regulatory requirements; achieve product performance, security, accuracy, throughput, localized
deployment, intranet deployment or customer-data-control objectives; integrate Cogni AI with third-party models, infrastructure or customer
systems; manage competition from global document intelligence, OCR, cloud AI, private AI and archive management providers; address market
demand, pricing, implementation, technical support, warranty, cybersecurity, data-security, legal, accounting, liquidity and financing
risks; and execute the Company’s broader global
expansion and planned Formind Group transition.
References to approximately US$1.73 million in Cogni
AI-related commercial activity include historical digitization revenue, AI archive automation projects, signed software license arrangements,
annual lease contracts and deployment-related activities. This figure should not be interpreted as annual recurring revenue, backlog,
profit contribution, cash collection, net revenue, or a guarantee of future revenue. Actual reported revenue may differ based on contract
terms, delivery status, customer acceptance, collection, accounting treatment, allocation among multiple performance obligations, timing
of recognition, refunds, cancellations, adjustments and other factors.
Market-size estimates and industry projections are
based on third-party research and are inherently uncertain. The Company does not guarantee that it will capture any particular share of
the intelligent document processing, private AI, archive digitization, enterprise automation, data- refinery or AI-ready dataset markets.
The development and commercialization of Cogni AI
are subject to substantial risks. There can be no assurance that Cogni AI will achieve broad customer adoption, generate significant revenue,
operate in all customer environments, satisfy all cybersecurity, privacy or data-governance requirements, support every localized or of
line deployment configuration, successfully convert legacy archives into AI-ready datasets, or integrate with the Company’s other
products or international business initiatives. Additional risks are described in the Company’s filings with the Securities and
Exchange Commission. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the
date of this press release. The Company undertakes no obligation to update any forward-looking statements except as required by law.