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Robo.ai announces proposed acquisition of QC Capital, an AI-Driven technology holding and venture-building platform

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ABU DHABI, UAE, June 18, 2026 /PRNewswire/ — Robo.ai Inc. (NASDAQ: AIIO), a Nasdaq-listed UAE-based company, announced today that it has entered into an agreement to acquire 100% of the equity interests of QC Capital Limited (“Quantum Core” or “QC Capital”). 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 AI, 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.

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.

Benjamin Zhai, Chief Executive Officer of Robo.ai, said, “Robo.ai is building a global artificial intelligence robotics network platform for the next generation of the intelligent economy. QC Capital is expected to bring capabilities in AI investment decision-making, data asset accumulation, venture building, M&A integration and global resource networks. Following the completion of the transaction, QC Capital is expected to serve as Robo.ai’s platform for strategic holdings, venture building, investment development and data asset growth, supporting the Company’s continued expansion across artificial intelligence, robotics, digital infrastructure, smart cities, intelligent mobility, low-altitude economy and the next-generation digital economy.”

About QC Capital Limited

QC Capital Limited is an AI-driven technology holding and venture-building platform focused on artificial intelligence, robotics, digital infrastructure, smart cities, autonomous driving and the next-generation digital economy. Through AI technology, operational enablement capabilities, industrial operating experience, data asset accumulation and global resource networks, QC Capital seeks to identify, incubate, invest in and operate technology companies with long-term value, while supporting the development of synergies among AI technology, capital capabilities, industrial resources and data assets.

About Robo.ai Inc.

Robo.ai Inc. (NASDAQ: AIIO) is a technology company focused on building a global artificial intelligence robotics network platform. The Company focuses on artificial intelligence, robotics, intelligent devices, digital infrastructure and related technology ecosystems, with the objective of connecting technology, data, devices and industrial scenarios through an AI-driven network platform.

Forward-Looking Statements

This press release contains forward-looking statements. Actual results may differ materially from those projected. For additional information, please refer to Robo.ai Inc.’s filings with the U.S. Securities and Exchange Commission.

Media Contact

Robo.ai Inc. Corporate Communications
Email: pr@roboai.io
Website: www.roboai.io

QC Capital Limited Corporate Communications
Email: info@qccapital.io
Website: www.qccapital.io

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SOURCE Robo.ai; QC Capital Limited

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Brownfield Is the Real Test of Automation: How ForwardX Scaled 484 AMRs in a Live Auto OEM Factory Without Production Downtime

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Chery Dalian by the Numbers:

484 AMRs deployed across the facility~1,000 vehicles produced daily127 material categories automatedBodyshop and Final Assembly workshops coveredProduction maintained throughout deployment

BEIJING, June 18, 2026 /PRNewswire/ — Most automotive factories are not built for automation. They are built for production.

More than one year after deployment began, ForwardX’s AMR system continues to scale across Chery Automobile’s Dalian manufacturing facility without disrupting production. Today, the project ranks among the largest brownfield AMR deployments in the automotive industry.

That reality makes brownfield automation one of the industry’s most difficult challenges. Unlike greenfield facilities, existing factories must modernize while maintaining output. Automation must adapt to legacy systems, fixed layouts, and active operations rather than being designed into the facility from the start.

With a fleet of 484 AMRs, the deployment continues to expand while production remains fully operational, allowing automation to scale without major reconstruction or factory shutdowns.

The Chery Dalian facility produces approximately 1,000 vehicles per day, making production continuity a critical operational requirement. Across its welding and final assembly workshops, AMRs support a wide range of intralogistics processes, including line-side delivery, SPS cart transportation, powertrain delivery, and empty-container return.

In the Bodyshop, 204 AMRs currently support delivery of 32 material categories, covering more than 80% of required material demand. In final assembly, 280 AMRs manage transportation for 95 material categories, supporting nearly 90% of assembly-line material requirements.

Brownfield success depends on much more than vehicle autonomy.

Existing factories present a unique set of challenges: limited line-side space, mixed traffic involving workers and forklifts, legacy IT infrastructure, changing production requirements, and minimal deployment windows. The challenge is transforming an existing logistics system without disrupting production. While many automation projects demonstrate success at the pilot stage, scaling to hundreds of robots in active automotive production environments is a different challenge altogether.

To address these challenges, ForwardX combined vision-based autonomy, fleet orchestration, manufacturing integration, and phased implementation strategies. Rather than requiring major facility changes, the deployment was integrated into existing production and logistics workflows.

The system operates alongside workers, conveyors, robotic equipment, and existing material-handling assets. Through phased rollout and continuous optimization, automation was introduced progressively while maintaining production stability.

“The challenge is transforming an operating factory while protecting production,” said Nicolas Chee, Founder and CEO of ForwardX Robotics. “Brownfield automation requires much more than robotics. It requires integration, orchestration, and a deep understanding of manufacturing operations.”

As OEMs and Tier 1 suppliers continue upgrading existing facilities, brownfield transformation is becoming a key focus across the automotive industry.

For most manufacturers, future automation investments will be deployed inside existing factories rather than new ones.

Greenfield projects prove that robots can operate.
Brownfield projects prove that automation can scale inside real-world manufacturing environments.
Chery Dalian demonstrates what that transformation looks like in practice.

Want the full story?
Download the Chery Dalian Brownfield Automation White Paper here: https://www.forwardx.com/ 

Join us at Automate 2026 in Booth #1025 to experience the future of automotive logistics.

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RPI Consultants Launches Invoice Statement Reconciliation in Yoga for FSM

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BALTIMORE, June 18, 2026 /PRNewswire/ — RPI Consultants, a leading ERP implementation, optimization, and software firm, has launched Invoice Statement Reconciliation for its Yoga for FSM accounts payable (AP) solution. The new feature matches vendor statements against AP data, researches unmatched lines, and automatically surfaces exceptions.

The feature was introduced to address ongoing vendor statement reconciliation challenges. Teams often receive statements of what vendors believe they’re owed, then spend hours cross-referencing invoice records against PDFs and tracking open items in spreadsheets. As a result, mismatches go unnoticed and missed invoices show up as unexpected costs.

Yoga’s Invoice Statement Reconciliation simplifies the process by capturing every vendor statement, creating a clean workspace for the reviewer, and running pre-investigation on every unmatched line; including fuzzy invoice-number search, amount matching, PO and payment-history lookups. The solution flags and resolves exceptions as they enter the system.

For teams that operate in complex AP environments, Invoice Statement Reconciliation also supports optional accrual tracking and automation. When an invoice hasn’t arrived yet, Yoga can track the accrual and automate its reversal when it does, with all activity confirmed in the ERP.

“AP teams shouldn’t be spending hours reconciling spreadsheets against PDF statements,” said Chad Tucker, VP Yoga Software. “Yoga does the research before the reviewer ever opens the statement, saving them time so that they can instead focus their efforts on higher value work.”

Yoga for FSM seamlessly integrates with Infor CloudSuite, Lawson V10, and Workday. The solution is fully hosted and managed by RPI and is built on more than 25 years of AP automation experience across hundreds of client engagements. To learn more about Yoga’s Invoice Statement Reconciliation, visit www.rpic.com/how-tos/invoice-statement-reconciliation-in-yoga/.

About RPI Consultants
RPI Consultants is an ERP implementation, optimization, and software firm with over 25 years of experience delivering best practices through technology, systems integration, and process redesign. As a premier Infor CloudSuite implementation partner, RPI prides itself on providing customers with the expertise and strategic thought leadership they need to be successful. For more information on RPI, visit www.rpic.com.

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SOURCE RPI Consultants

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VODA.ai Introduces Advisor, a Conversational and Agentic Decision Support AI for Water Utilities and Engineering Consultants

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BOSTON, June 18, 2026 /PRNewswire/ — VODA.ai, the leading AI decision support software for water utilities, announced today VODA.ai Advisor, a conversational and agentic AI that helps water professionals move from data to decisions faster.

Built specifically for water utilities and engineering consultants, VODA.ai Advisor allows users to interact with intelligent planning and analytics workflows through simple natural language. Users can ask VODA.ai Advisor to generate project plans, adjust criteria and settings, evaluate scenarios, and provide advice on industry best practices to support more informed decision-making.

“Every person at a utility should be able to turn data into a decision,” said Benjamin Schroeder, CTO of VODA.ai. “We are building VODA.ai Advisor to give everyone at a utility a faster way to ask questions, understand risk, explain recommendations, and move from analysis to action. It helps everyone access the insight they need to make better infrastructure decisions.”

VODA.ai Advisor supports pipe replacement planning, project justification and verification, meter revenue protection, lead service line programs, water loss initiatives, executive reporting, and project prioritization. The VODA.ai team will be demonstrating its capabilities at the 2026 American Water Works Association ACE Conference in Washington, D.C.

As AI reshapes how organizations interact with data, VODA.ai is expanding its native AI capabilities and bringing that shift to the water sector. With VODA.ai Advisor, utilities and their partners can simplify sophisticated analysis, unlock insights faster, and make confident decisions about the infrastructure their communities rely on every day.

VODA.ai Advisor will be available to customers later this year.

About VODA.ai 

VODA.ai provides AI decision support software for water professionals. The company helps turn infrastructure data into defensible decisions that prevent failures, prioritize capital, reduce risk, and protect revenue. VODA.ai supports utilities and engineering consultants with predictive analytics for pipe risk, meter accuracy, capital planning, lead service line management, and other critical infrastructure challenges. 

For more information, visit www.voda.ai

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SOURCE VODA.ai

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