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Aug 13, 2026, 4:31 PM ETConsumer Defensive

KIDZ AI Inc. — Second Quarter 2026 Earnings Summary

KIDZKIDZ AI INC
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Financial Performance

  • Service revenue for the quarter ended June 30, 2026, was approximately $0.48 million, a 34% decrease from $0.73 million in the prior year period.
  • Net loss narrowed 35% year-over-year to approximately $2.50 million, compared to $3.87 million in the prior year period.
  • Gross margin remained consistent at 44% compared to the prior year quarter.
  • Cash and restricted cash totaled approximately $8.88 million at June 30, 2026, more than tripling the $2.75 million held at December 31, 2025.
  • Total stockholders' equity increased 163% since year-end to approximately $9.95 million, up from $3.78 million at December 31, 2025.
  • Convertible notes payable decreased 92% since year-end, falling from approximately $8.20 million at December 31, 2025, to approximately $0.67 million at June 30, 2026.
  • Total liabilities decreased 65.6% from approximately $11.77 million at December 31, 2025, to approximately $4.05 million at June 30, 2026.
  • The total liabilities-to-equity ratio improved from 3.12x at December 31, 2025, to 0.41x at June 30, 2026.

Guidance and Future Outlook

  • The Company expects to continue advancing its AI infrastructure strategy through the deployment of initial GPU clusters.
  • KIDZ AI intends to pursue additional GPU compute partnerships, data center relationships, and strategic transactions to expand compute capacity and strengthen its neocloud model.
  • In the education vertical, the Company plans to focus on the commercial rollout of KIDZBot and the integration of Physical AI concepts into curriculum offerings.
  • Management anticipates that AI compute revenue will provide a more scalable and durable foundation for growth as the company transitions away from a purely tutoring-based model.

Business Segments and Product Lines

  • The Company formally changed its name from Classover Holdings, Inc. to KIDZ AI Inc. on May 26, 2026, signaling a shift toward AI compute infrastructure, GPU cloud services, and embodied AI robotics.
  • KIDZ AI unveiled KIDZBot, an integrated AI-native robotics platform featuring persistent memory, reasoning, prompt-based interactions, sensor-driven feedback, and adaptive learning.
  • The Company is developing multiple KIDZBot robotic form factors alongside an AI-powered software platform and companion app, with commercial rollout preparations underway.
  • Initial GPU cluster deployment is underway as the Company advances toward its first AI compute revenue.
  • Service revenue decline reflects a deliberate reallocation of capital and management focus away from tutoring customer acquisition toward AI infrastructure build-out.

Market and Competitive Landscape

  • Management views the global education and enterprise computing sectors as converging on foundational technologies including large-scale AI models, intelligent agents, and physical robotics.
  • KIDZ AI positions itself on both the demand side (AI-native learning platforms and robotics curricula) and the supply side (secured GPU compute capacity and data center infrastructure).
  • The Company was named the winner of the 2026 EdTechX Award for the Americas, recognizing innovation and leadership in AI-powered education.

Risks and Challenges

  • Risks include the ability to execute the business model and obtain market acceptance for products and services.
  • Uncertainties exist regarding the final technical configuration, capacity, costs, and timing of GPU compute deployments.
  • The Company faces risks related to obtaining necessary GPUs and equipment to fulfill obligations under a definitive agreement with Canopy Wave.
  • Potential risks include the ability to maintain Nasdaq listing, attract and retain key personnel, and maintain intellectual property protection.
  • Actual results may differ materially from forward-looking statements due to economic, business, and competitive factors.

Management Commentary and Tone

  • CEO Stephanie Luo described the second quarter as a "defining inflection point," highlighting the transformation of the balance sheet and strategic pivot to AI compute infrastructure.
  • Management expressed confidence that the AI compute revenue pipeline represents a scalable foundation for growth despite near-term service revenue declines.
  • The tone emphasized a commitment to education roots while leveraging a strengthened balance sheet and differentiated Physical AI education platform for long-term value creation.

Other Key Points

  • The capital structure simplification involved converting a significant portion of convertible debt to equity, removing a financing overhang.
  • The strategic repositioning represents a transition from a purely tutoring-based revenue model to AI compute revenue, robotics curricula, and infrastructure partnerships.
  • The Company is an AI-driven education technology firm developing proprietary learning systems combining AI, AI agents, and robotics, while pursuing opportunities in AI compute infrastructure and GPU cloud platforms.