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Robo.ai to acquire QC capital in $60 million AI deal

by Honesty Victor
June 23, 2026
Reading Time: 2 mins read
Robo.ai to acquire QC capital in $60 million AI deal
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Robo.ai Inc., a Nasdaq-listed UAE-based company, announced that it has entered into an agreement to acquire 100% of the equity interests of QC Capital Limited. Under the agreement, the total consideration for the proposed transaction is US$60 million, payable in newly issued Class B ordinary shares of Robo.ai.

The consideration shares will be subject to a vesting and release schedule of up to eight years. The transaction is expected to close within 30 business days following, subject to customary closing conditions and other applicable requirements.

The proposed acquisition represents a strategic step in Robo.ai’s development of a global artificial intelligence robotics network platform. QC Capital is positioned as an AI-driven technology holding and venture-building platform with capabilities across technology development, venture building and industrial investment. Through the proposed integration of QC Capital, and drawing upon Robo.ai’s successful experience in acquiring AI visual data processing and compression technology company Neurovia, Robo.ai expects to strengthen its capabilities in technology company sourcing, capital allocation, venture incubation, cross-border mergers and acquisitions, post-investment operations and global commercialization.

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Under the acquisition agreement, the transaction consideration is structured to align with long-term performance targets. The consideration shares will be released in stages and linked to the achievement of multi-year revenue targets. This structure is intended to align the release of transaction consideration with QC Capital’s future business performance and the long-term interests of Robo.ai shareholders.

QC Capital’s operating model is based on AI technology and operational enablement capabilities, with a focus on AI agents, vertical AI applications and industrial technology enablement for sectors including industry, transportation, embodied robotics and intelligent manufacturing. In the course of its operations, QC Capital expects to accumulate AI data, operating data from portfolio companies, post-investment operating data and market feedback data. These data resources are expected to be incorporated into its AI Investment Engine and QC Alpha™ system to support industry analysis, project screening, due diligence, risk management, post-investment management, M&A screening and portfolio optimization. This model is designed to create a long-term loop from technology capability to data assets, and from AI-assisted decision-making to revenue growth and ecosystem expansion.

QC Capital’s business system includes four core areas: venture building, strategic investment, M&A platform development and AI investment technology. Its key areas of focus include AI infrastructure, smart cities, robotics and AI agents, autonomous driving and intelligent logistics, AI fintech, enterprise AI platforms and the next-generation digital economy. These areas are complementary to Robo.ai’s artificial intelligence robotics network, intelligent device ecosystem and digital infrastructure strategy.

Performance Targets

Pursuant to the performance-based release mechanism stipulated in the acquisition agreement, the shares issued to QC Capital will be released over the next eight years subject to the achievement of specified revenue targets. These include, but are not limited to, a cumulative revenue milestone of approx. US$2.4 billion across 2026 and 2027, which will serve as part of the key benchmark for the phased release of the consideration shares.

Robo.ai expects that, subject to the successful closing of the transaction, successful business integration and the recognition of related revenue in accordance with applicable accounting standards, QC Capital may become an incremental platform for the Company’s medium- to long-term revenue growth, industrial synergies and global AI ecosystem commercialization. These revenue targets are forward-looking in nature and do not constitute a guarantee of future performance.

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