Digital Media Net - Your Gateway To Digital media Creation. News and information on Digital Video, VR, Animation, Visual Effects, Mac Based media. Post Production, CAD, Sound and Music
Categories: News

Classover Launches Robotics Division, Expanding Its AI-Driven Education Platform

NEW YORK CITY, NY / ACCESS Newswire / December 15, 2025 / Classover Holdings Inc. (Nasdaq:KIDZ)(Nasdaq:KIDZW) (“Classover” or the “Company”), a leading provider in K-12 educational AI, today announced the formation of its new AI Robotics Division. This strategic expansion integrates adaptive physical robotics into Classover’s established AI learning platform. The goal is to bridge the gap between digital adaptive learning and physical, hands-on instruction, setting a new standard for effectiveness, especially in challenging subjects like advanced math and coding.

Classover is driven by its mission to make world-class education accessible to all. This new initiative supports that goal by developing immersive, multi-modal learning environments that make complex ideas clearer and more manageable for every student.

Robotics That Support Teachers and Clarify Concepts

The new division is developing sophisticated, interactive robotic tools designed to serve as physical co-teachers, working seamlessly alongside Classover’s AI Tutor and human instructors.

  • Hands-On Instruction: The robots provide a physical layer of support, proven to improve student comprehension, offering students a tangible connection to abstract material.

  • Classroom Testing: The initial fleet will be deployed and tested in Classover’s network of offline learning centers. This is a crucial step that ensures the robots are practical, reliable, and directly validated by student performance and educator feedback before being widely introduced.

  • Adaptive Tools: These robots will function as smart, adaptive agents. They will leverage the data stream from the AI Tutor to provide timely physical demonstrations and engage in instructional dialogue.

A Data-Driven System for Proven Results

Classover’s market advantage comes from fueling this new robotics division with its most valuable asset: quantifiable student interaction data.

  • Real-World Training Data: Classover has accumulated a substantial, proprietary dataset detailing years of student learning paths. This unique data ensures the robotic tools are trained on actual educational challenges and successes, allowing them to deliver highly contextualized, proven instruction.

  • The Integrated Advantage: Classover is the first company to successfully merge proven AI adaptive learning (digital data) with personalized, data-trained interactive robotics (physical instruction), creating a truly seamless and effective blended learning system.

  • A Continuous Improvement Loop: By combining proprietary training data with real-world validation in the learning centers, Classover has created a closed feedback loop. This will ensure that the technology and the learning results improve faster than any static or less-integrated educational model.

The launch of the AI Robotics Division is a practical step forward in Classover’s mission to make world-class education accessible to all. By using proprietary data to power hands-on robotic tools, Classover is delivering a highly effective, personalized standard that supports teachers and gives students the clearest path to mastering complex subjects.

About Classover

Classover Holdings Inc. (NASDAQ:KIDZ) is a technology-driven education company focused on developing artificial intelligence-powered learning systems for the K-12 and broader education markets. The Company’s platform is designed to enhance learning accessibility, personalization, and efficiency through the application of advanced AI technologies. Classover is headquartered in New York, with operations supporting students and educators globally.

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. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on Classover’s current beliefs, expectations and assumptions regarding the future of Classover’s business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of Classover’s control including, but not limited to: Classover’s ability to execute its business model, including obtaining market acceptance of its products and services; the risk that the price of SOL, which has historically been subject to dramatic price fluctuations and is highly volatile, could fall substantially negatively impacting Classover’s financial condition and results of operations; Classover’s financial and business performance, including financial projections and business metrics and any underlying assumptions thereunder; Classover’s ability to maintain the listing of its securities on Nasdaq; changes in Classover’s strategy, future operations, financial position, estimated revenue and losses, projected costs, prospects and plans; Classover’s ability to attract and retain a large number of customers; Classover’s future capital requirements and sources and uses of cash; regulatory changes related to crypto assets; fluctuations in the price of crypto assets; risks related to the custody of crypto assets, including security risks; Classover’s ability to attract and retain key personnel; Classover’s expectations regarding its ability to obtain and maintain intellectual property protection and not infringe on the rights of others; changes in applicable laws or regulations; and the possibility that Classover may be adversely affected by other economic, business, and/or competitive factors. These risks and uncertainties also include those risks and uncertainties indicated in Classover’s filings with the SEC. Classover’s actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements.

Any forward-looking statement made by Classover in this press release is based only on information currently available to Classover and speaks only as of the date on which it is made. Classover undertakes no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.

Contacts

Classover Holdings Inc.
ir@classover.com
800-345-9588

SOURCE: Classover Holdings Inc.

View the original press release on ACCESS Newswire

Staff

Recent Posts

Macnica Americas Names Veteran Engineering Executive Nestor Amaya as Vice President of Engineering

SOLANA BEACH, Calif.--(BUSINESS WIRE)--Macnica Americas today announced the appointment of Nestor Amaya as Vice President…

14 hours ago

Filed Late? The IRS May Have Already Filed for You – Clear Start Tax Explains Why Substitute Returns Often Inflate What You Owe

Every year, millions of Americans who miss their tax filing deadlines assume the IRS is…

20 hours ago

Genius Sports and Liga MX Strike Landmark Technology and AI Partnership to Drive Future of Mexican Soccer

Genius Sports has deployed its cutting-edge data and AI platform GeniusIQ in every Liga MX…

20 hours ago

Best Buy Introduces Reward Points for My Best Buy Plus and Total Members

Starting June 4, My Best Buy Plus™ and My Best Buy Total™ members will automatically…

21 hours ago

Ncontracts Introduces Nquiry: AI-Powered Regulatory Intelligence That Delivers Defensible Compliance Answers in Minutes

New platform combines 17 years of proprietary compliance data with direct access to credentialed experts,…

21 hours ago

Prometheus Signals Near-Term Development of Next-Generation Noninvasive Test for MASH Patients at DDW 2026

Translational Data Inform a Scalable, Noninvasive Test Designed to Identify Treatment-Eligible Patients and Enable Longitudinal…

2 days ago