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TIER IV to jointly develop next-generation development platform with Astemo, accelerating E2E autonomous driving AI with Co-MLOps solution

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TOKYO, Aug. 4, 2026 /PRNewswire/ — TIER IV, the pioneering force behind open-source software for autonomous driving, has signed a memorandum of understanding (MoU) with Astemo, to jointly develop a next-generation software development platform for autonomous driving systems.

Through this collaboration, the two companies will leverage TIER IV’s Co-MLOps solution – collaborative data-sharing technology – to build Astemo’s next-generation development platform, enabling the continuous development and improvement of production-quality end-to-end (E2E) autonomous driving AI models, with commercialization targeted around 2030. Astemo aims to deploy E2E autonomous driving AI models in passenger vehicles in the early 2030s using this development platform.

E2E autonomous driving AI models – which integrate perception, planning and control into a single learning process – are emerging as a foundational technology for next-generation advanced driver-assistance systems (ADAS) and autonomous driving systems.

As autonomous driving technology advances, TIER IV is working toward Level 4+ autonomy to gradually expand fully autonomous driving into more complex environments. E2E AI models are a key technology for achieving this goal. Bringing these models to production readiness requires compliance with automotive safety and manufacturing standards. It also demands an AI development infrastructure capable of continuously collecting, processing, training and evaluating large-scale driving data. Such infrastructure forms the foundation for the continuous evolution of E2E AI models and will be a key source of competitiveness for future production autonomous driving systems.

Through their involvement in the Autoware Foundation (AWF) and SOAFEE, TIER IV and Astemo previously collaborated on the reference implementation of Open AD Kit, a cloud-native framework for autonomous driving development based on Autoware. Astemo is also involved in TIER IV’s Co-MLOps project, launched in January 2024. This latest initiative deepens their partnership and expands TIER IV’s data-sharing platform for autonomous driving AI development.

TIER IV leads the development of Autoware and advances AI-based Level 4 autonomous driving worldwide while building AI development platforms through its Co-MLOps solution. This MoU enables the companies to combine TIER IV’s expertise in AI development platforms with Astemo’s industry expertise as a Tier 1 supplier. This expertise includes functional safety compliance and vehicle integration across braking, suspension, powertrain and ADAS technologies. Together, the companies will build a development platform that enables the continuous evolution of production-ready E2E autonomous driving AI models, accelerating the development of next-generation autonomous driving systems.

This collaboration will advance the following initiatives:

1. Creation of a next-generation development platform by harnessing Co-MLOps solution

Astemo will license TIER IV’s Co-MLOps architecture – the core technology underpinning Co-MLOps solution – along with related technologies. Leveraging these assets, TIER IV and Astemo will build a next-generation development platform that integrates the collection, processing, training, evaluation and continuous improvement of AI models, with commercialization targeted around 2030. In parallel, Astemo will establish an internal framework for the continuous development and improvement of E2E autonomous driving AI models that meet the quality and safety requirements for mass-production vehicles.

2. Joint study on E2E autonomous driving AI models for Level 4+ autonomy

By sharing the insights and technological assets gained from the development of the planned platform, TIER IV and Astemo will define and align the technical requirements for E2E autonomous driving AI models, while developing a medium- to long-term roadmap.

Using this platform, Astemo aims to continuously advance its E2E autonomous driving AI models and deploy Level 4+ E2E AI models in passenger vehicles in the early 2030s.

“Bringing E2E autonomous driving AI models into real-world deployment requires advancing both mass-production readiness and AI development infrastructure in parallel,” said Shinpei Kato, founder and CEO of TIER IV. “We are delighted to deepen our collaboration with Astemo by providing licenses for TIER IV’s Co-MLOps solution and related technologies. Astemo’s track record as a global Tier 1 supplier makes it an ideal partner for this initiative. Together, we will further expand the Autoware ecosystem and accelerate the deployment of safe, scalable autonomous driving technologies.”

“We believe that next-generation autonomous driving systems will be driven by E2E AI models and data-centric AI development platforms that enable their continuous evolution,” said Hiroshi Tamagawa, Executive Vice President, CTO and CISO of Astemo. “Through our collaboration with TIER IV, whose expertise spans autonomous driving and data platform technologies, we aim to further strengthen the internet-of-vehicles platform that Astemo is developing. By leveraging the combined ecosystems of our two companies, we will expand these technologies beyond the automotive industry into broader mobility applications, helping shape the future of continuously evolving mobility.”

About TIER IV

TIER IV stands at the forefront of deep tech innovation, pioneering Autoware, open-source software for autonomous driving. With a comprehensive suite of platforms and services built around Autoware, TIER IV provides everything from software development and vehicle procurement to operational support. Through the Autoware ecosystem, TIER IV works with partners worldwide to shape the future of intelligent vehicles with open-source software, aiming to create mobility that is safer, more sustainable, and accessible to all.

Media contact
pr@tier4.jp

The word marks and logos of TIER IV are trademarks or registered trademarks of TIER IV, Inc. in Japan and other countries. All other company names, product names, service names, and logos referenced herein are trademarks or registered trademarks of their respective owners.
Autoware is a registered trademark of the Autoware Foundation.

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SOURCE TIER IV, Inc.

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AIxCrypto Announces Second Quarter 2026 Earnings Conference Call Details

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LOS ANGELES, Aug. 4, 2026 /PRNewswire/ — AIxCrypto Holdings, Inc. (NASDAQ: AIXC) (“AIxC” or the “Company”), a Nasdaq-listed technology company building a three-layer architecture spanning the infrastructure, protocol, and application layers, today announced that the Company will hold a conference call to discuss its financial results for the second quarter ended June 30, 2026 at 4:30 PM Pacific Time (7:30 PM Eastern Time) on Friday, Aug 7, 2026.

AIxC invites stockholders to submit questions in advance of the upcoming earnings call. Stockholders may email their questions directly to: IR@aixcrypto.ai. We welcome your participation and appreciate your continued support.

A live webcast of the conference call will be available in the Events section of the Company’s IR website at https://investors.aixcrypto.ai/news-events/events. A replay of the webcast, along with the earnings presentation, will be available on the website shortly after the conclusion of the call.

About AIxCrypto Holdings, Inc.

AIxCrypto Holdings, Inc. (Nasdaq: AIXC) is a Nasdaq-listed technology company building a three-layer architecture spanning the infrastructure, protocol, and application layers. Through the convergence of AI Agents and Embodied AI (EAI) devices, AIXC is developing technology intended to enable heterogeneous intelligent entities—robots, smart vehicles, and other edge devices—to autonomously discover, collaborate, and execute tasks with one another without centralized intermediaries, driving the advancement of the Silicon Economy.

FORWARD LOOKING STATEMENTS:

This communication — including any presentation, press release, investor materials or other document of which it forms a part (this “Communication”) — contains “forward-looking statements” within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995, as amended, and other securities laws, regarding AIxCrypto Holdings, Inc. (“AIxCrypto,” the “Company,” “us,” “our,” or “we”) and our industry. All statements, whether written or oral, other than statements of historical fact — including any financial projections and any statements regarding future events, our strategy, plans, objectives, expectations, or anticipated actions or results — are forward-looking statements. You can often identify forward-looking statements by words such as “may,” “might,” “will,” “shall,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “targets,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential,” “goal,” “objective,” “seeks,” “likely,” or “continue,” or the negative of these terms or other similar expressions; the absence of these words does not mean a statement is not forward-looking. These statements reflect our current expectations and projections about future events as of the date of this Communication and are necessarily based on estimates and assumptions that, while considered reasonable by management, are inherently uncertain. AIxCrypto can give no assurance that such forward-looking statements or financial projections will prove to be correct.

Actual results may differ materially from those expressed or implied by these forward-looking statements as a result of numerous risks and uncertainties, both general and specific, including, but not limited to: business, economic, market and capital-market conditions; the heavily regulated industry in which we operate; current or future laws or regulations and new interpretations of existing laws or regulations; the inherent volatility and regulatory uncertainty associated with digital assets and cryptocurrencies; evolving money-transmission, payments and digital-asset regulatory requirements applicable to our payment and settlement arrangements; risks associated with the early-stage and beta nature of our operations, including our dependence on third-party merchants and service providers and our ability to scale our platform; risks related to our expansion into new markets, jurisdictions, services and operating modalities, including aerial and unmanned aircraft operations, and the regulatory approvals and clearances required for such operations; changes in market demand for, and the pricing of, our products and services; our relationships with our customers and business partners; our ability to successfully define, design and release new products in a timely manner that meet our customers’ needs; competition in our industry; the failure of counterparties to perform their contractual obligations; systems, network, telecommunications or service disruptions, failures or cyber-attacks; our ability to obtain additional financing on reasonable terms or at all; litigation costs and outcomes; our ability to maintain and enforce our intellectual property rights and to defend against third-party claims of infringement; our ability to attract, retain and motivate qualified personnel; and our ability to manage our growth. This list of factors is not exhaustive. Additional risks and uncertainties are described more fully in our filings with the U.S. Securities and Exchange Commission (the “SEC”), including our Annual Report on Form 10-K for the year ended December 31, 2025 and our subsequent filings, which are available on the SEC’s website at www.sec.gov.

The forward-looking statements in this Communication speak only as of the date hereof. Except as required by law, neither AIxCrypto nor any other person undertakes any obligation to update or revise any forward-looking statement or financial projection set out herein, whether as a result of new information, future events or otherwise. This Communication is provided for informational purposes only, does not constitute investment, tax or legal advice or any investment recommendation, and does not take into account the investment objectives or financial situation of any person. AIxCrypto reserves the right to amend or replace the information contained herein, in whole or in part, at any time, and undertakes no obligation to notify any recipient thereof. Readers are cautioned not to place undue reliance on these forward-looking statements. This caution is made under, and these forward-looking statements are intended to be covered by, the safe-harbor provisions of the Private Securities Litigation Reform Act of 1995.

View original content:https://www.prnewswire.com/news-releases/aixcrypto-announces-second-quarter-2026-earnings-conference-call-details-302843169.html

SOURCE AIxCrypto Holdings, Inc.

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On Time (9680.HK) Issues Profit Alert: Expects H1 2026 Revenue to Reach at Least RMB3.9 Billion, Up 132.6% YoY

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HONG KONG, GUANGZHOU and SHENZHEN, Aug. 5, 2026 /PRNewswire/ — On Time (9680.HK), a Chinese mobility technology and services company, issued a positive profit alert on 3 August, saying it expects consolidated revenue of no less than RMB3.9 billion for the six months ended June 30, 2026. This represents a year-on-year increase of 132.6%, or a rise of at least RMB2.224 billion from the same period in 2025. The Company also expects profitability to improve by at least 40% compared with the prior-year period.

This marks On Time’s second consecutive positive earnings pre-announcement in 2026, following two straight years of gross margin recovery—an indication that the Company has entered a pivotal phase on its path to sustainable profitability.

The Company attributed the revenue surge to a substantial increase in ride-hailing order volume and growth in technology services revenue. Profitability improvements, meanwhile, were driven by enhanced operational efficiency, cost structure optimization, and expanded technology service volumes—all of which contributed to gross profit growth.

Looking beyond the immediate term, On Time has established a clear and accelerating growth trajectory. In the first half of 2025, the Company generated RMB1.676 billion in revenue. By the second half of that year, revenue had more than doubled to RMB3.61 billion. The Company’s latest guidance of at least RMB3.9 billion for the first half of 2026—a 132.6% year-on-year increase—confirms that this upward trend continues to gain momentum.

Underpinning this performance is the Company’s “Mobility + Technology” dual-engine business model. Together, the two segments drove strong revenue growth in the first half of 2026.

Previous results demonstrated robust momentum across both businesses. In the first half of 2025, mobility services grew 86% year-on-year, while technology services surged 207%. Based on current guidance, both segments are expected to register even stronger growth rates in the first half of 2026—a clear sign that On Time’s core business drivers continue to accelerate. 

The expanding mobility business is now generating increasingly strong cash flow, while technology services have emerged as a new source of growth that is expected to further improve profitability. With gross margins returning to positive territory, revenue growing rapidly, and profitability steadily improving, the Company believes it has established a stronger foundation for sustainable long-term growth.

In March of this year, Soochow Securities published a research note identifying three clear trends at On Time: accelerating growth, narrowing losses, and an improving revenue mix. The report noted that the Company’s business model is transitioning from a mobility-only operation to a “Mobility + Technology” dual-driver framework, and projected that On Time would achieve profitability by 2027.

View original content:https://www.prnewswire.com/apac/news-releases/on-time-9680-hk-issues-profit-alert-expects-h1-2026-revenue-to-reach-at-least-rmb3-9-billion-up-132-6-yoy-302843176.html

SOURCE Ontime

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Avnet and Weston Robot Bring Physical AI to Industrial Operations with Autonomous Inspection Robot

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AMD-powered solution combines edge AI, intelligent perception and autonomous navigation to help organizations improve safety, efficiency and operational resilience

SINGAPORE, Aug. 5, 2026 /PRNewswire/ — Avnet and Weston Robot today announced a collaboration to accelerate the adoption of Physical AI in industrial environments through an AI-powered inspection platform that enables intelligent machines to perceive, analyze and respond autonomously to real-world operating conditions.

As industrial facilities become larger, more complex and increasingly data-driven, organizations are looking beyond traditional automation to intelligent systems that can continuously monitor operations, identify potential risks and respond in real time. Combining Avnet’s expertise in advanced computing technologies, ecosystem enablement and embedded AI solutions with Weston Robot’s leadership in intelligent robotics and autonomous systems, the companies have developed an advanced inspection platform that demonstrates how artificial intelligence can move beyond software to autonomous action in the physical world.

Leveraging Avnet’s ecosystem of technology partners, engineering expertise and advanced computing platforms, the collaboration enables customers to accelerate the deployment of intelligent robotics solutions from development through production while reducing complexity and speeding time to market.

Powered by AMD Ryzen™ AI Embedded processors, the platform executes AI workloads directly on the device, enabling low-latency AI inference, faster decision-making and reliable operation even where cloud connectivity is limited. By processing data at the edge, organizations can detect operational issues earlier, reduce inspection costs and improve operational continuity.

Designed for manufacturing, energy, utilities, transportation, logistics and critical infrastructure, the inspection platform performs continuous monitoring across large and complex facilities. Its intelligent inspection capabilities include object and anomaly detection, identification of people and vehicles, personal protective equipment (PPE) compliance monitoring, unauthorized intrusion detection, and thermal and visual inspections that help identify hotspots, fluid leaks and equipment abnormalities before they develop into costly operational failures.

Built for challenging industrial environments, the autonomous inspection robot operates reliably where GPS signals are unavailable or unreliable. Using advanced 3D LiDAR simultaneous localization and mapping (SLAM), it continuously builds high-precision digital maps, navigates autonomously, dynamically avoids obstacles and optimizes inspection routes in real time. These capabilities enable deployment across factories, warehouses, ports, utilities, tunnels and other mission-critical environments.

The solution integrates AI perception, real-time anomaly detection, intelligent path planning and autonomous navigation on a single platform. Powered by AMD embedded AI processing technology, it delivers up to 50 TOPS of AI performance while supporting AI-driven inspection, thermal and visual analytics, 3D LiDAR mapping and dependable operation in GPS-denied environments.

“Physical AI represents the next evolution of artificial intelligence—one where intelligent systems can perceive, reason and act autonomously in the real world,” said Arthur Chung, Vice President, Sales & Supplier Management, Avnet Asia. “Through our collaboration with Weston Robot, we are bringing together advanced computing, edge AI and robotics to help organizations scale industrial intelligence, strengthen safety and improve operational resilience. As organizations move beyond AI experimentation, intelligent autonomous systems will become an essential part of smarter, safer and more efficient industrial operations.”

“Industrial environments generate enormous volumes of operational data, yet many inspection processes remain manual, reactive and resource-intensive,” said Dr. Zhang Yanliang, Chief Scientist, Weston Robot. “By combining robotics, AI and edge computing, we are enabling a new generation of intelligent systems that continuously monitor critical infrastructure, detect anomalies earlier and deliver actionable insights in real time. We believe Physical AI will become a foundational technology powering the next generation of industrial operations.”

As organizations continue to invest in intelligent automation, the collaboration between Avnet and Weston Robot demonstrates the growing convergence of robotics, edge computing and artificial intelligence. Together, the companies are helping customers move Physical AI from concept to deployment, enabling intelligent systems that can continuously observe, understand and act autonomously across real-world industrial environments.

Learn more about the Avnet and Weston Robot Physical AI inspection platform here.

About Avnet

As a leading global technology distributor and solutions provider, Avnet has served customers’ evolving needs for more than a century. Through regional and specialized businesses around the world, we support customers and suppliers at every stage of the product lifecycle. We help companies adapt to change and accelerate the design and supply stages of product development. With a unique viewpoint from the center of the technology supply chain, Avnet is a trusted partner that solves complex design and supply chain issues so customers can realize revenue faster. Learn more about Avnet at www.avnet.com.

About Weston Robot

Weston Robot is a leading provider of intelligent robotics and autonomous mobile systems focused on advancing the adoption of Physical AI across industrial, commercial and public-sector applications. The company develops autonomous robots that integrate artificial intelligence, computer vision, advanced perception, autonomous navigation and edge computing to enable intelligent inspection, security, logistics and operational automation. Weston Robot’s solutions help organizations improve safety, efficiency and operational resilience in complex real-world environments.

Learn more at www.westonrobot.com.

Contact:
Seraphina Wee
seraphina.wee@avnet.com

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SOURCE Avnet

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