Technology

LG released new version of generative AI, EXAONE 3.5

Published

2 years ago

December 9, 2024

– Following EXAONE 3.0 in August, EXAONE 3.5 version was released as open source on the 9th of this month, fostering an open AI research ecosystem and is expected to accelerate the pace of innovation

– Starting official release of ChatEXAONE, enterprise AI agent service, making AI a part of everyday life

SEOUL, South Korea, Dec. 9, 2024 /PRNewswire/ — Four months after unveiling EXAONE 3.0 in August, LG AI Research has open-sourced its latest AI model, EXAONE 3.5, further enhancing its performance.

Top performance among global open source AI models in 20 benchmarks, including real-world usability, long text processing, coding, and math.

Unlike previous EXAONE 3.0, LG AI Research will open source all three models, an ultra-lightweight model for on-device use (2.4 billion parameters), a lightweight model for general purpose (7.8 billion parameters), and a high-performance model for specialized application (32 billion parameters).

To reduce the hallucination and to increase the accuracy and reliability of answers, LG AI Research has advanced Retrieval-Augmented Generation (RAG) technology, which generates answers based on real-time web search results or uploaded documents, and Multi-step Reasoning, which allows AI to deconstruct user’s inquiry step-by-step to develop logical reasoning.

Depending on the length of sentence inputs, EXAONE 3.5 can process long texts, roughly equivalent to around 100 pages at a time.

LG AI Research also published a technical report on the performance evaluation of the model, demonstrating confidence in the technology’s ability to compete on a global scale.

According to a technical report released by LG AI Research, EXAONE 3.5 is the world’s best class in real-world usability, long text processing, coding, and math.

LG AI Research disclosed both individual scores for the 20 benchmarks it used to evaluate performance and the average scores.

All three models, from on-device to high-performance, can be used for research purposes, and anyone can check and validate the models.

LG AI Research expects the open-source release to promote an open AI research ecosystem and increase the pace of innovation.

‘As AI technology becomes a key strategic asset for each country, developing AI models with our own technology is meaningful in contributing to enhancing national AI competitiveness,’ said an official from LG AI Research.

LG employees can use AI agent, real-time web, and document-based question-and-answer capabilities without any data leakage or security issues

LG AI Research has officially launched its enterprise AI agent, ChatEXAONE for its employees, starting the ‘era of everyday AI’.

From the 9th of this month, LG employees can sign up and start using ChatEXAONE in their work immediately.

Based on the new EXAONE 3.5 model, ChatEXAONE applies information encryption and privacy protection technology so that employees can use it in their work without worrying about leaking internal data within the company’s security environment.

LG AI Research expects ChatEXAONE to help employees increase their work productivity and efficiency, from real-time web information search to document summarization, translation, report writing, data analysis, and coding.

With the application of EXAONE 3.5 to ChatEXAONE, LG AI Research has enhanced its performance and added ‘Deep’ and ‘Dive’ functions.

‘Deep’ is a feature that enables ChatEXAONE to analyze and infer multiple questions in stages and provide a comprehensive answer when a complex question is asked, and can be used when you want accurate and in-depth report-level results.

‘Dive’ is a feature that allows you to select a search scope such as general, global, academic, and YouTube to get answers based on the exact source according to your purpose.

ChatEXAONE recommends 133 job-specific prompts based 14 different job functions and provides personalized answers, and employees can set their interests according to their use.

LG AI Research plans to continue to expand the number of jobs and job categories based on employee feedback.

ChatEXAONE currently supports 32,000 tokens that can process 20,000 words in Korean (23,000 English words) simultaneously, enabling long-form questions and answers, and plans to expand to 128,000 tokens in the first half of next year.

Four years on, LG AI Research accelerates innovation, expands AI ecosystem and delivers tangible results

LG AI Research, the AI think tank for LG Group, which celebrated its fourth anniversary on 7 December 2020, is preparing for the beyond of EXAONE 3.5 already.

LG AI Research has researched on Large Action Model (LAM) that plans and acts on its own and plans to develop an AI agent based on the technology in 2025.

‘The recent advancement of generative AI models has accelerated, and it is important to upgrade them quickly,’ said Bae Kyunghoon, the president of LG AI Research. ‘We will speed up the pace of innovation and develop them into frontier models that represent Korea, with the goal of artificial super intelligence that can be applied to real-world industries.’

LG AI Research has strengthened its collaborations with AWS, Dell Technologies, Elsevier, Google Cloud, Intel, Jackson Laboratory, NVIDIA, Parsons School of Design, UiPath, University of Michigan, University of Pittsburgh Medical Centre(UPMC), University of Toronto and others to expand the ecosystem to create real-world outcomes with EXAONE and other AI technologies.

Meanwhile, LG has been accelerating its AI transformation for the past four years, centered on the LG AI Research Institute, which Koo Kwang-mo, Chairman and CEO of LG Group has been working on as a future business, and all affiliates are actively working to preempt future technologies and recruit talent.

For more information, visit https://www.lgresearch.ai/blog/view?seq=507

About LG Group

LG Group is a leading global company representing South Korea, offering innovative products and services across various industries such as electronics, chemicals, telecommunications, and energy. Established in 1947, LG Group has grown into a world-renowned brand through its activities in these diverse fields. The company is committed to continuous research and development, focusing on innovation to enhance the quality of life for its customers. Emphasizing its role as a socially responsible enterprise, LG Group is striving to strengthen its competitiveness in the global market and achieve sustainable growth through its future portfolio in areas like AI, Bio, and Cleantech. The company is dedicated to realizing its vision of being a business that provides value to customers and society, pursuing this mission with unwavering determination.

About LG AI Research

Launched in December 2020 as the artificial intelligence (AI) research hub of South Korea’s LG Group, LG AI Research aims to lead the next epoch of artificial intelligence (AI) to realize a promising future by providing optimal research environments and leveraging state-of-the-art AI technologies. And LG AI Research developed its large-scale AI, EXAONE, a 300 billion parametric multimodal AI model, in 2021. EXAONE, which stands for “Expert AI for Everyone,” is a multi-modal large-scale AI model that stands out from its peers due to its ability to process both language and visual data. With one of the world’s largest learning data capacities, LG AI Research aims to engineer better business decisions through its state-of-the-art artificial intelligence technologies and its continuous effort on fundamental AI research. For more information, visit https://www.lgresearch.ai/.

Media Contact:

KIM Young Min
LG AI Research
Email: youngmin.kim@lgresearch.ai

CHAE Ok
LG AI Research
Email: ok.chae@lgresearch.ai

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SOURCE LG Corp.

Technology

Safetyfirst Systems, LLC Provides Notice of Data Security Event

Published

44 minutes ago

July 24, 2026

PARSIPPANY, N.J., July 23, 2026 /PRNewswire/ — Safetyfirst Systems, LLC (“SFS”) is providing notice of a data security event that may involve information relating to certain individuals. While SFS is not aware of any misuse of information associated with this event, it is providing notice to potentially affected individuals out of an abundance of caution.

On January 19, 2026, SFS identified suspicious activity involving a limited portion of its server environment. Upon discovering the activity, SFS quickly took steps to secure its systems, notified federal law enforcement, engaged leading third-party forensic specialists, and performed a detailed investigation into the nature, scope, and impact of the activity. The investigation determined that an unauthorized actor accessed and/or acquired certain files from limited SFS systems between January 16, 2026, and January 19, 2026. SFS then conducted a comprehensive review of the affected files to determine what information may have been involved and identify the individuals to whom the information relates. The review has recently concluded, and SFS is providing this notification to potentially impacted individuals out of an abundance of caution. Although the types of information vary by individual, the affected information may include names, Social Security numbers, and driver’s license numbers.

Protecting the privacy and security of the information entrusted to SFS is a responsibility the company takes very seriously. In response to this event, SFS promptly strengthened security measures, continues to enhance its technical safeguards and monitoring capabilities, and is reviewing existing policies and procedures to further protect against similar incidents in the future. SFS is also providing notice to potentially affected individuals and, where required, appropriate regulatory authorities.

Although SFS is unaware of any misuse of personal information impacted by this event, individuals are encouraged to remain vigilant against events of identity theft by reviewing account statements, explanation of benefits, and monitoring free credit reports for suspicious activity and to detect errors. Any suspicious activity should be reported to the appropriate insurance company, health care provider, or financial institution.

Individuals seeking additional information regarding this event can contact SFS’s dedicated assistance line at 1-833-289-5523 between the hours of 7:00 a.m. to 7:00 p.m. Eastern time, Monday through Friday, excluding holidays. Individuals may also write to SFS at PO Box 101, 3299 US Highway 46, Parsippany, NJ 07054-9998.

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SOURCE Safetyfirst Systems, LLC

Technology

Sunrate and Mastercard Release White Paper on Agentic AI and the Future of B2B Global Payments

Published

45 minutes ago

July 24, 2026

SHANGHAI, July 24, 2026 /PRNewswire/ — Sunrate, the global payment and treasury management platform, and Mastercard, a global technology company in the payments industry, unveiled a joint white paper, Beyond Automation: Defining Agentic Global Payments, at the 2026 World Artificial Intelligence Conference (WAIC).

Among the first reports in the payments industry to examine the impact of Agentic AI on B2B cross-border payments, the white paper provides a comprehensive framework for understanding how AI agents are reshaping enterprise payment operations. It proposes that cross-border payments are evolving beyond digitisation and automation into a new stage: Autonomy—where AI agents with reasoning, planning, and execution capabilities can independently orchestrate and optimise end-to-end payment and treasury workflows within defined governance frameworks.

As businesses expand across borders, B2B cross-border payments continue to be constrained by fragmented workflows, disconnected systems, foreign exchange inefficiencies, rising compliance requirements, and complex reconciliation processes. While traditional automation improves individual tasks, the white paper demonstrates that Agentic AI represents a fundamental shift by enabling intelligent agents to coordinate entire payment journeys across systems, counterparties, and approval workflows.

Drawing on Sunrate’s global payment infrastructure and AI-native product capabilities, together with Mastercard’s expertise in secure payment networks and data intelligence, the white paper defines Agentic Global Payments — a new category of AI-native global payment infrastructure built to automate and manage complex enterprise workflows.

The report identifies 16 major pain points across the B2B payment lifecycle and outlines 13 high-value AI use cases spanning supplier onboarding, accounts payable and receivable, virtual commercial cards, payment routing, foreign exchange management, compliance screening, fraud detection, reconciliation, and conversational operational support. It also demonstrates how AI agents can automate complex workflows—from extracting information across multiple document formats and conducting compliance checks to initiating payments, optimising FX execution, and completing reconciliation—while operating within enterprise governance and control frameworks.

The white paper further highlights that trusted adoption of agentic payments depends on more than technological capability. It identifies governance, transparency, security, and ecosystem collaboration as essential foundations for enterprise deployment, supported by frameworks such as Know Your Agent (KYA), payment tokenisation, auditability, and cross-industry interoperability.

Sunrate.AI portfolio currently includes the Payment Agent, FX Agent, Compliance Agent, Onboarding Agent, and Chat Agent, designed to help enterprises automate and optimise critical payment and treasury processes while maintaining compliance and operational control.

Mastercard has also been actively building the foundations for trusted agentic commerce – combining AI capabilities with verifiable authorisation, clear accountability and proven payments security. Its work in this area, including Agent Pay (alongside Agent Pay for Machines) and Verifiable Intent, are proof points in how Mastercard is enabling AI to participate in commerce safely and transparently.

“Our mission is to make global payments seamless, compliant, and intelligent,” said Paul Meng, Co-founder and CEO of Sunrate. “As businesses continue expanding internationally, AI agents will fundamentally reshape how enterprises manage global payments—enabling smoother capital flows, reducing operational friction, and embedding real-time intelligence into every payment decision. This white paper represents an important step in helping the industry understand how Agentic AI can be deployed responsibly at enterprise scale.”

“Agentic commerce is changing how businesses make and execute payment decisions, but speed without accountability creates new categories of risk,” said Anouska Ladds, Executive Vice President, Commercial & New Payment Flows, Asia Pacific, Mastercard. “As AI starts to act on behalf of businesses, autonomous payment decisions need a clear, auditable chain of identity, intent and action. That’s what allows organisations to delegate with genuine confidence — and what will determine whether agentic commerce scales past pilots.”

Released under WAIC 2026’s theme, “Intelligent Partners, Co-creating the Future,” the white paper provides business leaders with practical guidance on adopting AI-driven payment capabilities, covering implementation approaches, governance considerations, and real-world enterprise applications.

By combining Sunrate’s expertise in global payments and treasury management with Mastercard’s trusted payment infrastructure and network capabilities, the collaboration reflects a shared commitment to accelerating the next generation of intelligent, secure, and autonomous B2B global payments.

Click here to check the white paper.

About Sunrate

Sunrate is a leading global payment and treasury management platform for businesses worldwide. Founded in 2016, Sunrate has enabled companies to operate and scale both locally and globally in 190+ countries and regions with its cutting-edge infrastructure, global network, and unified solutions.

Sunrate operates through offices across key markets, including Singapore, Kuala Lumpur, Jakarta, Hong Kong, Shanghai, and London. The company partners with the top global financial institutions, such as Citibank, Standard Chartered, Barclays, J.P. Morgan. Sunrate is also the principal member of Mastercard and Visa. To learn more about Sunrate, visit https://www.sunrate.com/.

About Mastercard

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

www.mastercard.com

SOURCE Sunrate

Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP

Published

45 minutes ago

July 24, 2026

A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data able to stay onshore inside their own network

SYDNEY, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that need operational data to stay onshore, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model can run on the customer’s own hardware, keeping operational data onshore.”

“For teams across Australia, New Zealand, and Singapore, two things matter: keeping data onshore, and getting answers when a job fails after hours,” said Shayne Cooper, Account Executive for APAC at JAMS Software. “JAX and JAMS MCP address both. The model can run on the customer’s own hardware, and the answer arrives in plain language at the moment it is needed.”

JAX and JAMS MCP are available now to all JAMS Web customers across Australia, New Zealand, and Singapore, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software
Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

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SOURCE JAMS Software