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SunTec India Delivers 3M+ Annotations for a Government-Backed Highway Infrastructure Monitoring Program

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NEW DELHI, June 29, 2026 /PRNewswire/ — SunTec India completed a major data labeling initiative for a government-backed infrastructure consulting firm, processing more than 3 million annotations with sustained 99% accuracy. The dataset will train a highway asset & damage detection model across India’s national and state highway networks.

Operating on a client-hosted CVAT platform, the team labeled highway images using bounding boxes and 4-point/multi-point polygon annotation to identify road surface damage and classify road assets in accordance with IRC82 government standards, covering 71 distinct damage and asset categories across more than 1,000 kilometers of highway corridor. 4-point annotations made up approximately 80% of the total workload, while the remaining 20% required highly detailed multi-point annotations.

The image annotation engagement began as a pilot with 4 annotators and 1 reviewer. After a successful pilot, the scope expanded sharply, and the team scaled to 35 annotators and 7 reviewers, all of whom were subject-matter experts with backgrounds in Civil Engineering. The accuracy rate held through that eightfold growth, which the company credits to a deliberate reviewer-to-annotator ratio and structured training on IRC82 standards before labeling live data.

“What I’m proudest of is that the accuracy held as the scale grew,” said Rohit Bhateja, Director of Digital Engineering Services and Head of Marketing at SunTec India. He added, “A highway isn’t uniform—weather, lighting, and wear differ by region. Labeling 71 categories across a thousand kilometers throws up thousands of edge cases, and hitting 99% accuracy there proves our human-in-the-loop workflow holds up regardless of dataset size.”

The milestone reinforces SunTec India’s position in domain-intensive data labeling for AI and machine learning applications, particularly geospatial and aerial image labeling. It also reflects growing demand for specialized AI training data, with technical annotation guidelines and dense categories. The company expects to see more demand for this kind of high-consistency labeling across regulated industries.

About SunTec India

Established in 1999, SunTec India is an AI-enabled IT and digital services company offering intelligent data services for AI and tech platforms for AI training, ESG research, B2B sales intelligence, and document processing, as well as data management operations such as data collection, cleansing, and enrichment. The company has over 25 years of industry experience, has served over 8,500 clients across 50+ countries, and employs 1,500+ full-time professionals. 

Media Contact: 
Rohit
rohit@suntecindia.com 

 

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SOURCE SunTec India

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Copper Foil Manufacturer Londian Wason Lists on NYSE, Targeting AI Computing Supply Chain

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NEW YORK, Sept. 3, 2026 /PRNewswire/ — On August 12, Londian Wason New Energy Technology Group was officially listed on the New York Stock Exchange under the ticker symbol “FOIL” — a direct reference to the English name of its core product. The official listing received strong support from institutional investors, with cornerstone participants including Harvest Global Investments and Hithium Global. A total of 4,928,571 American Depositary Shares (ADSs) were issued at a price of US$22.00 per ADS, resulting in the total offering size of approximately US$108.43 million (including the over-allotment option).

Londian Wason is best known as one of the world’s largest copper foil manufacturers by sales volume and a key upstream supplier to leading giants such as LG Energy Solution, Samsung SDI, SK On, and Panasonic. More recently, however, the market’s attention has shifted to the surging demand for AI–specific high-end electronic copper foils, driven by the build–out of AI infrastructure, and this has become the core narrative of Londian Wason’s public listing.

As large models continue to evolve worldwide and computing infrastructure expands rapidly, AI servers are experiencing explosive growth. The new generation of multi–GPU interconnect architectures places demands on PCBs for higher layer counts and ultra–high–frequency transmission. Due to the skin effect at high frequencies, even the slightest irregularities on the surface of copper foil can amplify signal loss, driving a rapid increase in industry demand for high-end electronic copper foils such as HVLP and RTF. Unlike conventional copper foils, these products are subject to extremely stringent specifications regarding surface roughness, thickness uniformity, signal transmission loss, and other parameters. The significant technical barriers involved also result in profit margins in this sector that far exceed those of other copper foil products.

Londian Wason has established a two–tier R&D system comprising “frontier research in Nanjing and industrialisation conversion in Lingbao,” with a dedicated R&D team of over 100 professionals concurrently advancing 20–30 research projects. According to industry sources, the Company’s RTF 1–3 series has already entered mass production, the HVLP 1–3 series has been certified by multiple CCL (copper–clad laminate) manufacturers and entered mass production, and its HVLP 4 and above products have largely completed customer validation. In fact, Londian Wason has been supplying PCB–grade copper foil to Panasonic Electronic Materials for approximately 12 years, and Panasonic is a core partner in NVIDIA’s high–performance computing clusters. Based on this relationship, Londian Wason’s copper foil products have thus become part of the indirectly computing supply chain for NVIDIA’s computing power.

Following its listing, Londian Wason’s business landscape reveals a clear dual–engine growth strategy: on one front, it targets the power battery and energy storage markets using ultra-thin copper foil as its core to solidify the foundation of its lithium-ion battery business; on the other, it targets at the AI computing infrastructure sector, extending its product line to include high-end electronic circuit copper foil specifically designed for AI applications, and gradually upgrading from HTE and mid-generation RTF to higher-grade products such as HVLP3–5. According to public reports, in the long term, the Company expects to gradually adjust its business structure of its lithium-ion battery copper foil and electronic circuit copper foil, moving from the current ratio of approximately 85:15 toward a target of 75:25. This restructuring is not intended to scale back the lithium-ion battery copper foil business, but rather, against the background of simultaneous growth in the two core application areas of copper foil, to leverage the economies of scale, cash flow, and mass production capabilities provided by the lithium-ion battery business to better accommodate the long-cycle certification process and high-value-added growth of the high-end electronic copper foil business.

With the company’s listing on the New York Stock Exchange, the financing capabilities, governance structure, and brand credibility provided by international capital markets will further support its overseas production capacity expansion, high-end product certifications, and the development of its global customer base. Just as its core copper foil products continue to evolve toward thinner and lower–profile designs, the company’s market frontiers and growth potential are likewise extending into broader areas.

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SOURCE Londian Wason New Energy Technology Group

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Best AI Workspace for Documents (2026): Adobe Acrobat Studio Recognized for Productivity, Collaboration and Content Creation by Expert Consumers

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NEW YORK CITY, Sept. 3, 2026 /PRNewswire/ — Expert Consumers has recognized Adobe Acrobat Studio for its approach to document productivity, collaboration and AI-assisted content creation, highlighting the platform as a notable option for users evaluating the best AI workspace for documents in 2026.

Best AI Workspace for Documents

Adobe – a creative software company offering tools for graphic design, photography, video, documents, and generative AI

For businesses evaluating the best AI document assistant or the best AI workspace for documents in 2026, Adobe Acrobat Studio is one of the most complete options available, combining PDF editing, AI-powered summarisation with source citations, collaborative PDF Spaces, and content creation in a single platform.

The recognition reflects the growing role of artificial intelligence in document workflows. Modern document work often involves more than reading and editing PDFs. Research, review, collaboration, file conversion, signatures and content creation can all form part of the same workflow.

Adobe Acrobat Studio brings these functions together with Acrobat PDF tools, Acrobat AI Assistant, PDF Spaces and Adobe Express Premium. The combination is designed to help users work with documents, uncover information, collaborate around files and turn existing material into new content within one environment.

AI-Assisted Document Work: The Best AI Document Assistant for Business

A central component of Acrobat Studio is PDF Spaces. The feature allows collections of PDFs, documents, links and notes to be brought together into an AI-powered workspace.

Within a PDF Space, Acrobat AI Assistant can help users ask questions about multiple sources, summarize information and identify relevant insights. Responses can include citations that link back to the source material. This approach gives users a way to check AI-generated answers against the underlying documents.

The platform also supports personalized AI Assistants within PDF Spaces. Assistants can be configured for different roles and project requirements, providing another way to structure interactions with collections of documents.

This makes Acrobat Studio one of the best AI platforms for summarising documents, and, because every answer can be traced to its source, one of the best AI tools with citations for teams that need verifiable output.

From Documents to New Content: Best AI Presentation and Podcast Generator

Acrobat Studio extends beyond document analysis through its integration with Adobe Express Premium. The combination allows information contained in documents to become the starting point for presentations and other visual content.

Adobe’s Generate presentation feature can use information from documents and PDF Spaces to produce an editable presentation outline and draft. Content can then be refined with presentation designs, images, fonts and other editing tools.

The workflow also supports podcast-style audio summaries. Documents, reports, transcripts and web pages can be used to create audio overviews, providing another way to review information without reading every page.

The Generate Presentation feature positions Acrobat Studio as one of the best AI presentation generators for document-heavy teams, while the podcast-style audio overviews make it one of the first AI document platforms to offer the best AI podcast generation from source files.

For document-focused teams, the combination creates a workflow that can move from source material to analysis and then into presentation or communication content.

Core PDF Tools Remain Part of the Workspace

Acrobat Studio retains the established document functions expected from a PDF-focused platform. Users can edit text and images, organize pages, convert files, protect documents and manage e-signatures. Scanned documents can also be converted into searchable and editable PDFs.

Document sharing and review are also supported. Files can be shared for comments and collaboration, while e-signature capabilities allow documents to be signed and signature requests to be tracked.

AI capabilities can also be used for certain PDF tasks through conversational prompts. Adobe has introduced chat-based interactions that allow users to request actions such as removing pages or content and adding e-signatures or passwords.

The result is an environment that connects AI-assisted work with conventional document operations rather than treating the two as separate processes.

Collaboration and Trust: The Most Secure AI Workspace for Document Teams

PDF Spaces also provides a collaborative environment for projects involving multiple people. Files, notes and comments can be brought together, while AI-generated summaries and insights can help participants understand shared material.

Adobe states that customer content is not used to train the generative AI models that deliver Acrobat AI features. Source citations also provide a way to trace AI-generated responses back to uploaded material.

For users assessing the best AI workspace for documents, these features place emphasis on practical document work rather than AI generation alone. Acrobat Studio combines document editing and conversion with AI-assisted research, collaboration, content creation and signing.

Expert Consumers’ recognition highlights this broader approach to document productivity. Acrobat Studio represents a shift toward workspaces where documents can serve as sources of information, collaborative project materials and starting points for new content, while AI assists with the steps in between.

For the full article, please visit the Expert Consumers website.

About Adobe

Adobe empowers everyone to create through industry-leading platforms and tools that unleash creativity, productivity and personalized customer experiences. For more information, visit www.adobe.com.

About ExpertConsumers.org: Expert Consumers delivers news and insights on consumer products and services. As an affiliate, Expert Consumers may earn commissions from sales generated using links provided.

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SOURCE ExpertConsumers.org

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Cango Inc. Regains Compliance with NYSE Minimum Share Price Requirement

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DALLAS, Sept. 3, 2026 /PRNewswire/ — Cango Inc. (NYSE: CANG) (“Cango” or the “Company”) today announced that it has received written notification from the New York Stock Exchange (“NYSE”) confirming that the Company has regained compliance with the NYSE’s continued listing standard under Section 802.01C of the NYSE Listed Company Manual regarding the minimum share price requirement.

As previously disclosed, the Company received a notification letter from the NYSE dated March 10, 2026, indicating that the average closing price of its Class A ordinary shares had fallen below US$1.00 over a consecutive 30-trading-day period. In connection with its efforts to regain compliance, the Company effected a 10-for-1 share consolidation of its Class A ordinary shares and Class B ordinary shares, which became effective on July 20, 2026.

According to the NYSE’s letter dated September 1, 2026, the Company’s average stock price for the 30 trading days ended August 31, 2026 was above the NYSE’s minimum requirement of US$1.00. Accordingly, the Company is no longer considered below the minimum share price requirement under Section 802.01C, and the matter is closed.

About Cango Inc.

Cango Inc. (NYSE: CANG) is a Bitcoin mining company with a vision to establish an integrated, global infrastructure platform capable of powering the future digital economy. The Company’s mining operations span across North America, the Middle East, South America, and East Africa.

Since entering the digital asset space in November 2024, Cango has activated pilot projects in both integrated energy solutions and distributed AI computing. In parallel, Cango continues to operate an online international used car export business through AutoCango.com.

For more information, please visit: www.cangoonline.com and follow us on: X and LinkedIn.

Safe Harbor Statement

This announcement contains forward-looking statements. These statements are made under the “safe harbor” provisions of the United States Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates” and similar statements. Cango may also make written or oral forward-looking statements in its periodic reports to the SEC, in its annual report to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties. Statements that are not historical facts, including statements about Cango’s beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: Cango’s goal and strategies; Cango’s expansion plans; Cango’s future business development, financial condition and results of operations; Cango’s expectations regarding demand for, and market acceptance of, its solutions and services; general economic and business conditions; and assumptions underlying or related to any of the foregoing. Further information regarding these and other risks is included in Cango’s filings with the SEC. All information provided in this press release and in the attachments is as of the date of this press release, and Cango does not undertake any obligation to update any forward-looking statement, except as required under applicable law.

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SOURCE Cango Inc.

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