On 15 July, LG AI Analysis—the AI R&D arm of South Korea’s LG Group—unveiled Exaone 4.0a hybrid reasoning AI mannequin that mixes common language processing with the superior reasoning capabilities launched via the corporate’s earlier Exaone Deep mannequin.
LG AI Analysis says its new mannequin outperforms related fashions from Alibaba, Microsoftand Mistral you have got in business benchmarks for science, math, and coding. Nevertheless, Exaone 4.0 nonetheless falls in need of Deepseek’s greatest mannequin.
Nevertheless, LG AI Analysis isn’t chasing the identical customers as many of the acquainted names in AI. In contrast to fashions comparable to ChatGPT and Gemini, that are primarily designed for the typical particular person, LG AI is focusing on enterprise customers. “Our major focus is on the business-to-business (B2B) sector reasonably than business-to-consumer (for now),” says Honglak Leethe newly appointed co-head of LG AI Analysis and former analysis scientist at Google Mind. LG launched the corporate in December 2020 as a part of the Korean tech large’s digital transformation technique.
To that finish, LG AI Analysis has made Exaone 4.0 accessible for analysis and tutorial use on Hugging Facethe worldwide open-source AI platform. The mannequin additionally now helps Spanish language use, increasing its capabilities past its authentic competencies with Korean and English.
Exaone Ecosystem and Strategic Roadmap
Only a week after debuting Exaone 4.0, LG AI Analysis made its dedication to a B2B focus clear, by unveiling its broader Exaone ecosystem and strategic roadmap. On the AI Discuss 2025 on 22 July, the corporate revealed a number of new fashions.
Among the many fashions are Exaone 4.0 Imaginative and prescient Language, a multimodal AI mannequin that may interpret each textual content and pictures, and Exaone Path 2.0, a healthcare-focused mannequin designed to diagnose affected person situations in minutes. There are additionally a number of enterprise-specific AI brokers: ChatExaone, an agent at the moment getting used internally by LG workers to help company workflows; Exaone Information Foundry, a platform to speed up information technology; and an on-premise, full-stack agent that may be deployed in remoted, safe environments with out exposing delicate information.
LG AI Analysis says that Exaone 4.0 VL, which shall be launched within the close to future, edges out Meta’s Llama 4 Scout in efficiency exams. Moreover, the corporate says that Information Foundry can do in a single day what usually takes 60 consultants three months.
Exaone’s on-premise agent runs on chips developed by FuriosaAI, a South Korea-based startup manufacturing neural processing items (NPUs) tailor-made for AI workloads. In keeping with the corporate, You had been offended‘s RNGD accelerator delivered inference efficiency on the Exaone fashions 2.25 instances as quick as competing GPUs.
LG additionally says the {hardware} to be extra energy-efficient. A single rack powered by RNGD chips can generate as much as 3.75 instances as many tokens for Exaone fashions than a conventional GPU rack working throughout the identical energy limits.
Autonomous Brokers for Enterprise Safety
LG AI Analysis’s final purpose is to equip enterprises with all of the core elements wanted to run autonomous brokers securely inside their very own infrastructure, full with built-in information technology and enterprise operation options, Lee instructed IEEE Spectrum.
“We’re not simply providing an inference engine,” says Lee. “We intention to offer an end-to-end system that integrates the important thing functionalities enterprises really want—to allow them to instantly plug it into their workflow. Each enterprise has distinctive operational wants. That’s why we’re designing our answer to be versatile—capable of mix and configure completely different components based mostly on every buyer’s setting.”
Additional afield, the corporate is laying the muse for bodily AI, or AI integrated into robots. “Bodily AI remains to be in its early phases,” says Lee. “However the core framework—notion, reasoning, and motion in a steady loop—is one thing we’re actively constructing towards.”
Whereas the corporate isn’t but making use of this on to robots, they’re demonstrating the identical loop with ChatExaone, or the Nexus Agent, an AI agent designed to evaluate authorized compliance of knowledge units. Essential to Nexus is the flexibility to crawl the Web. “These brokers want to know net pages, extract related insights, and act on them,” says Lee. “That’s why we’re constructing net brokers that may navigate complicated data flows and make autonomous selections.”
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