On 15 July, LG AI Research—the AI R&D arm of South Korea’s LG Group—unveiled Exaone 4.0, a hybrid reasoning AI mannequin that mixes basic language processing with the superior reasoning capabilities launched by means of the corporate’s earlier Exaone Deep model.
LG AI Analysis says its new model outperforms comparable fashions from Alibaba, Microsoft, and Mistral AI in business benchmarks for science, math, and coding. Nevertheless, Exaone 4.0 nonetheless falls wanting Deepseek’s best model.
Nevertheless, LG AI Analysis isn’t chasing the identical customers as a lot of the acquainted names in AI. Not like fashions similar to ChatGPT and Gemini, that are primarily designed for the typical particular person, LG AI is concentrating on enterprise customers. “Our main focus is on the business-to-business (B2B) sector quite than business-to-consumer [for now],” says Honglak Lee, the 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 big’s digital transformation technique.
To that finish, LG AI Analysis has made Exaone 4.0 out there for analysis and educational use on Hugging Face, the 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 Speak 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 model designed to diagnose affected person situations in minutes. There are additionally a number of enterprise-specific AI agents: ChatExaone, an agent presently getting used internally by LG staff to assist company workflows; Exaone Knowledge Foundry, a platform to speed up knowledge era; and an on-premise, full-stack agent that may be deployed in remoted, safe environments with out exposing delicate knowledge.
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 assessments. Moreover, the corporate says that Knowledge Foundry can do in a single day what sometimes takes 60 consultants three months.
Exaone’s on-premise agent runs on chips developed by FuriosaAI, a South Korea-based startup manufacturing neural processing units (NPUs) tailor-made for AI workloads. In line with the corporate, FuriosaAI‘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 objective 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 knowledge era and enterprise operation options, Lee informed IEEE Spectrum.
“We’re not simply providing an inference engine,” says Lee. “We purpose to supply an end-to-end system that integrates the important thing functionalities enterprises really need—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 primarily based on every buyer’s atmosphere.”
Additional afield, the corporate is laying the muse for bodily AI, or AI integrated into robots. “Bodily AI continues to be in its early levels,” 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 data sets. Essential to Nexus is the power to crawl the Internet. “These brokers want to grasp 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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