WhalesBot announced EliteMind in Shanghai on Sept. 23, 2026. A PR Newswire page posted the following day describes it as a modular Physical AI robot for elementary and middle school students, designed to connect AI lessons with physical tasks. The company release frames EliteMind as a hands-on extension of WhalesBot’s existing AI Foundations Learning approach and describes a workflow in which students develop models and programs in a learning platform and deploy them to a robot for physical testing. The company provided product capabilities, platform names, and background information; independent technical, commercial, or educational evaluation of those claims was not available on the pages reviewed.
The product announcement was distributed through a WhalesBot-supplied PR Newswire release and is framed against the company’s official AI education materials. Separate EastFrontier coverage of AI literacy in education and physical AI research is contextual reading only; neither item independently verifies WhalesBot’s EliteMind claims.
Product and platform details
According to the company release, EliteMind is designed to close what WhalesBot called the gap between screen-based AI lessons and robots that operate in the real world, combining perception, reasoning, and physical action in what the release describes as a Physical AI loop. The release identifies W-Hong LLM as the company model intended for STEM and AI education, and it names OceanLevel as WhalesBot’s AI literacy learning platform that supplies age-appropriate courses, model-training tools, and programming environments. The press release and WhalesBot’s public materials say students can create models and programs within OceanLevel and then deploy those artifacts to EliteMind for hands-on experimentation and testing.
The announcement and accompanying materials are available on the company-distributed notice at PR Newswire and on WhalesBot’s public education resources page, which provide the company descriptions of curriculum and product integration. The PR Newswire release can be read on the distribution page, and WhalesBot’s resources and AI education framing appear on its resources portal. Readers seeking WhalesBot’s own descriptions can consult the company distribution and education pages linked above for the full text of the release and program materials. Those company materials describe OceanLevel as supplying staged lessons, model-training tools, and deployment functions tied to the robot.
WhalesBot’s materials list product capabilities for EliteMind such as intent recognition, voice interaction, visual understanding, and physical control mechanisms intended for classroom use. The company described the robot as lightweight and modular, with sensors and actuators that can be recombined across different configurations. These descriptions are presented as company statements without independent benchmarks, accuracy statistics, hardware specifications, or classroom outcome data included in the release.
Company context and claims
WhalesBot said it was founded in 2018 and is headquartered in Shanghai, China, and the release attributed a learner age range from 3 to 22 to the company’s overall education offerings. The company also stated more than 1 million units have been sold across over 81 countries and regions; that sales figure was presented as a company claim without independent audit details, time frame, or breakdown by product. WhalesBot described ENJOY AI as an international STEM and robotics competition it sponsors, positioning EliteMind as fitting into an ecosystem that includes courses, tools, competitions, and physical hardware.
The release includes forward-looking language about continuing to develop ways for students to move from AI literacy to building and applying AI in real-world systems. Those statements describe WhalesBot’s intentions and plans as presented by the company and are not an independent forecast. FairS Online substantially repeats the company release, while Dealroom.co aggregates a summary that credits PR Newswire; neither supplies independent testing or verification.
WhalesBot’s official AI Foundations page presents a broader progression from STEM, coding, robotics, sensing/data, and automation toward physical interaction and Physical AI projects. Separately, the release describes OceanLevel as the company’s AI-literacy platform and presents EliteMind as its physical deployment and testing component. WhalesBot’s broader AI Foundations Learning statements describe staged learning for very young learners up to older students. These internal materials are part of the company presentation and include its framing of model-training, simulation, and hardware deployment as a connected sequence of classroom activities.
A separate EastFrontier report covers another company’s physical-AI work; it is contextual reading only and does not independently verify or benchmark EliteMind. That EastFrontier piece on JD’s recent world model for physical AI provides context for how companies are articulating links between models and robotic systems in educational and applied settings.
Implications for classrooms and the broader AI education landscape
WhalesBot’s broader AI Foundations Learning statements on its resources page outline staged learning for ages 3+, 6+, and 12+, covering topics such as robotics, coding, sensing and data, automation and response, and physical interaction. The company frames EliteMind as an instrument to let learners move from algorithmic or simulated work to direct physical testing. WhalesBot’s positioning can be read as relevant to broader discussions about AI literacy in schools, but the supplied company materials do not establish a policy partnership, adoption, or direct connection between EliteMind and China’s education initiatives. The earlier EastFrontier policy article provides general background on AI-literacy discussions; it does not establish that EliteMind is included in, endorsed by, or aligned with those policy priorities.
Industry observers and educators assessing hardware-led AI education will likely look for independent evidence that robots and classroom programs measurably improve student outcomes, scale affordably, and meet school safety and privacy requirements. The material WhalesBot published does not include independent evaluations or third-party tests of EliteMind’s learning effectiveness or safety. There is also no verified information in the release about commercial availability, pricing, specific school deployments, or launch markets, all of which the company’s materials omitted.
WhalesBot’s public positioning of EliteMind as a modular Physical AI robot and OceanLevel as an AI literacy platform brings the company into a field where firms are combining models, software, and hardware into integrated learning products. Those developments sit alongside other industry moves to pair large models with embodied systems for education and research. Educators, procurement officers, and researchers interested in physical-AI education will need third-party evaluations, pilot studies, and clearer deployment details before assessing how EliteMind might perform or scale in formal learning environments.
WhalesBot’s announcement presents an intended path from online AI learning to hands-on robotics experimentation, with the company identifying W-Hong LLM as its own model and OceanLevel as the learning platform linked to EliteMind’s planned physical deployment and testing. The claims about capabilities, modularity, and integration with OceanLevel are attributable to WhalesBot and its release; independent verification of performance, classroom impact, availability, or safety was not provided in the materials reviewed. Interested readers can consult WhalesBot’s distributed press notice and the company education resources for the original company descriptions and course framing. Educators or decision makers considering physical-AI tools should seek independent evaluations and pilot data before drawing conclusions about classroom suitability.