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GIBO Advances Toward Integrated Autonomous Mobility Systems, Building a Unified AI Stack Across Air and Ground Platforms

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GIBO Holdings (NASDAQ: GIBO) announced advancement of its GIBO.ai Calculation Engine toward a unified AI stack that spans both air and ground mobility platforms, including EV motorbikes and eVTOLs. The announcement describes a staged approach to autonomy that integrates perception, navigation, behavioral modeling, mission planning, and system optimization into a single extensible framework.

The framework emphasizes continuous learning, simulation-driven development, interoperability between aerial and ground assets, and embedding sustainability metrics into decision loops to prioritize energy efficiency, risk mitigation, and carbon reduction.

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Market Reality Check

Price: $1.98 Vol: Volume 71,266 is below th...
low vol
$1.98 Last Close
Volume Volume 71,266 is below the 20-day average of 136,942 (subdued trading ahead of this AI update). low
Technical Shares trade below the 200-day moving average at 100.41, indicating a prolonged downtrend into this news.

Peers on Argus

GIBO’s -5.71% move contrasts with mixed peers: LCFY at -21.69%, GITS at +11.57%,...

GIBO’s -5.71% move contrasts with mixed peers: LCFY at -21.69%, GITS at +11.57%, while QTT and LYL are flat and ONFO is slightly negative. This pattern points to stock-specific dynamics rather than a unified sector move.

Historical Context

5 past events · Latest: Jan 16 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
Jan 16 AI platform expansion Positive -5.7% Extended GIBO.ai from eVTOL to broader aerial intelligence and analytics.
Jan 13 AI platform update Positive +1.5% Scaled GIBO.ai into a modular aerial intelligence ecosystem for multiple eVTOLs.
Dec 18 Strategic collaboration Positive -5.5% Collaboration to develop AI-powered manned eVTOLs for disaster and exploration.
Dec 15 Strategic collaboration Positive +5.9% Partnership to deploy Malaysian AI compute centers using advanced NVIDIA chips.
Dec 11 AI data center plan Positive +9.7% Announced initial 30MW, 14,000-GPU AI data center with multi-phase expansion plan.
Pattern Detected

Recent AI and partnership releases have been broadly positive in tone but produced mixed price reactions, with three aligned upward moves and two negative divergences.

Recent Company History

Over the last several months, GIBO has issued a series of AI-focused updates, including an initial 30MW / 14,000-GPU data center roadmap and multiple expansions of the GIBO.ai platform into eVTOL and aerial intelligence applications. Partnerships have targeted disaster-response eVTOL development and Malaysian AI compute centers featuring advanced NVIDIA chips. Price reactions have varied, from double‑digit gains to mid‑single‑digit declines, indicating that the market has not responded uniformly to these AI and infrastructure milestones as GIBO refines its platform strategy.

Market Pulse Summary

This announcement advances GIBO.ai from aerial intelligence toward a unified AI stack spanning EV mo...
Analysis

This announcement advances GIBO.ai from aerial intelligence toward a unified AI stack spanning EV motorbikes, eVTOL aircraft, logistics networks, and future autonomous mobility. It emphasizes staged autonomy, interoperability between air and ground platforms, and embedding sustainability metrics directly into decision-making. In context of earlier AI data center and aerial ecosystem updates, this step continues a shift toward horizontal infrastructure. Key items to watch include execution on cross-domain integration and any follow-on commercial or regulatory disclosures linked to these platforms.

Key Terms

evtol, esg
2 terms
evtol technical
"EV motorbikes, eVTOL platforms, logistics networks, and future autonomous"
eVTOL stands for "electric vertical takeoff and landing" aircraft, which are small, electric-powered vehicles capable of taking off and landing vertically like a helicopter. They are designed to provide quick, on-demand transportation within cities or between locations, potentially transforming urban mobility. For investors, eVTOLs represent a growing segment of innovative transportation technology with potential for significant market impact and future growth.
esg financial
"site planning, and ESG reporting. GIBO positions aerial platforms as"
ESG stands for Environmental, Social, and Governance, which are key factors investors consider when evaluating how sustainable and responsible a company is. It involves assessing how a company manages its impact on the environment, treats its employees and communities, and operates transparently and ethically. Investors use ESG criteria to identify businesses that align with their values and have the potential for long-term success.

AI-generated analysis. Not financial advice.

KUALA LUMPUR, Malaysia, Jan. 20, 2026 /PRNewswire/ -- GIBO Holdings Ltd. (NASDAQ: GIBO), Asia's leading innovation-driven AI ecosystem, today announced the next evolution of its AI mobility roadmap, advancing the GIBO.ai Calculation Engine toward a unified, cross-domain intelligence stack supporting progressively autonomous air and ground mobility systems.

Following strong industry and partner feedback on its AI-powered aerial intelligence services, GIBO is now extending its computation-driven framework to enable deeper integration across EV motorbikes, eVTOL platforms, logistics networks, and future autonomous mobility applications.

From Intelligence Services to Integrated Autonomous Systems

As mobility platforms increasingly generate real-time data and AI-derived insights, the next phase of innovation lies in closing the loop between perception, decision-making, and execution. GIBO.ai is designed to unify these layers into a single, extensible AI stack capable of supporting progressive autonomy across multiple mobility domains.

Rather than treating autonomy as a single endpoint, GIBO.ai enables a staged evolution—where systems gradually transition from assisted operation to higher levels of autonomy, guided by continuous learning, simulation, and real-world feedback.

A Unified AI Stack Across Air and Ground Mobility

The GIBO.ai Calculation Engine integrates core AI functions including perception, navigation, behavioral modeling, mission planning, and system optimization. By standardizing these capabilities across both aerial and ground-based platforms, GIBO enables interoperability between EV motorbikes, eVTOL aircraft, and connected mobility infrastructure.

This unified approach allows mobility assets to share intelligence, coordinate actions, and adapt dynamically to environmental and operational conditions. Over time, this creates an ecosystem where air and ground systems operate as complementary components of a single intelligent mobility network.

Enabling Smarter, Safer, and More Sustainable Autonomy

A central focus of this initiative is ensuring that autonomy enhances safety, efficiency, and sustainability. The GIBO.ai framework continuously evaluates system performance, environmental conditions, and operational constraints, enabling intelligent decision-making that prioritizes energy efficiency, risk mitigation, and environmental impact.

By embedding sustainability metrics directly into AI decision loops, autonomous mobility systems can optimize not only for speed or efficiency, but also for carbon reduction and resource stewardship—aligning advanced autonomy with green-economy objectives.

"Autonomy is not a feature—it is an evolving intelligence."

"The positive response to our aerial intelligence services confirms that the market is ready for AI systems that go beyond isolated use cases," said Zelt Kueh, CEO of GIBO Holdings Ltd.
"With GIBO.ai, we are building an integrated intelligence stack that allows autonomy to emerge responsibly across air and ground mobility. This approach ensures that future autonomous systems are not only smarter, but safer, scalable, and environmentally aligned."

Laying the Foundation for the Next Generation of Smart Mobility

This advancement positions GIBO.ai as a horizontal AI platform supporting the future of smart mobility, logistics, and urban infrastructure. As the ecosystem evolves, the unified AI stack is expected to support applications ranging from intelligent fleet coordination and automated logistics to adaptive urban mobility and next-generation autonomous services.

By aligning autonomy with computation-driven sustainability and cross-platform intelligence, GIBO continues to build foundational infrastructure for a future where mobility systems operate seamlessly, responsibly, and in harmony with the global green economy.

About GIBO Holdings Limited

GIBO Holdings Ltd. is a unique and integrated AIGC animation streaming platform with extensive functionalities provided to both viewers and creators that serves a broad community of young people across Asia to create, publish, share and enjoy AI-generated animation video content. With over 83 million registered users and advanced AI-powered tools, GIBO seeks to redefine the landscape of digital content creation.

Forward-Looking Statements

This press release includes "forward-looking statements" within the meaning of the "safe harbor" provisions of the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements may be identified by the use of words such as "estimate," "plan," "project," "forecast," "intend," "will," "expect," "anticipate," "believe," "seek," "target" or other similar expressions that predict or indicate future events or trends or that are not statements of historical matters. These forward-looking statements also include, but are not limited to, statements regarding projections, estimates and forecasts of revenue and other financial and performance metrics, projections of market opportunity and expectations, the Company's ability to scale and grow its business, the Company's advantages and expected growth, the Company's ability to source and retain talent, and the Company's cash position, as applicable. These statements are based on various assumptions, whether or not identified in this press release, and on the current expectations of the Company's management and are not predictions of actual performance. These statements involve risks, uncertainties and other factors that may cause the Company's actual results, levels of activity, performance, or achievements to be materially different from those expressed or implied by these forward-looking statements. Although the Company believes that it has a reasonable basis for each forward-looking statement contained in this press release, the Company cautions you that these statements are based on a combination of facts and factors currently known and projections of the future, which are inherently uncertain. The forward-looking statements in this press release represent the views of the Company as of the date of this press release. Subsequent events and developments may cause those views to change. Except as may be required by law, the Company does not undertake any duty to update these forward-looking statements.

Contact Information

Investor Relations:
Bill Zima
ICR, Inc.
William.zima@icrinc.com 

Media Relations:
Edmond Lococo
ICR, Inc.
Edmond.Lococo@icrinc.com

For more information and the latest updates, please visit:
https://www.globalibo.com/

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/gibo-advances-toward-integrated-autonomous-mobility-systems-building-a-unified-ai-stack-across-air-and-ground-platforms-302665125.html

SOURCE GIBO Holdings Ltd.

FAQ

What did GIBO (NASDAQ: GIBO) announce on January 20, 2026 about GIBO.ai?

GIBO announced it is advancing the GIBO.ai Calculation Engine into a unified AI stack to support progressive autonomy across air and ground mobility platforms.

How will GIBO.ai enable interoperability between EV motorbikes and eVTOL platforms?

GIBO.ai standardizes core AI functions—perception, navigation, behavioral modeling, mission planning, and optimization—so assets can share intelligence and coordinate actions across platforms.

Does GIBO.ai include sustainability features for autonomous mobility?

Yes. The framework embeds sustainability metrics into decision loops to prioritize energy efficiency, carbon reduction, and resource stewardship.

What autonomy approach did GIBO describe for its mobility stack?

GIBO described a staged evolution from assisted operation to higher autonomy levels using continuous learning, simulation, and real-world feedback rather than a single endpoint.

Which applications did GIBO say the unified AI stack is expected to support?

GIBO said the stack is expected to support intelligent fleet coordination, automated logistics, adaptive urban mobility, and next-generation autonomous services.
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