AI

ASML (ASML Holding N.V.) is a world-leading semiconductor equipment manufacturer based in the Netherlands, specializing in the production of lithography machines for chip fabrication. Its EUV (Extreme Ultraviolet Lithography) technology is currently an indispensable core technology for advanced semiconductor manufacturing processes globally. ASML's equipment is extensively utilized in wafer fabrication and delivers advanced production capabilities to major semiconductor companies worldwide, including Apple, NVIDIA, TSMC, Samsung, and Intel.

Airbnb is the world’s leading platform for shared accommodations and travel services, connecting hosts and travelers to offer accommodation bookings, local experiences, and personalized travel solutions. As artificial intelligence (AI) technology advances rapidly, Airbnb is transitioning its platform from a traditional accommodation Operar model to an intelligent travel ecosystem, leveraging AI-powered search, intelligent Atención al cliente, large language models, and data analytics to enhance both user experience and operational efficiency.

Palantir Technologies (PLTR) is a software company specializing in data integration, decision intelligence, and enterprise-grade artificial intelligence platforms. Its core strength lies in converting distributed, heterogeneous, and highly complex data into actionable analytics and decision systems. Through long-term partnerships with government and large enterprise clients, Palantir has developed a technology framework centered around data operating systems, allowing AI to be embedded not only in analytics but directly within business processes and decision-making workflows.

Palantir Technologies' AIP (Artificial Intelligence Platform) is a generative AI operating system built for enterprise applications. Its primary goal is to seamlessly integrate large language model (LLM) capabilities into corporate data structures and business workflows, evolving AI from a "passive analysis tool" to an "active execution system." By consolidating models, data, and permission systems under unified management, AIP empowers AI to engage in real-world business decision-making and execution within a secure, controlled environment.

Palantir Technologies is transitioning within enterprise AI systems, moving from its traditional role as a data analysis and decision support tool to becoming a central player in enterprise-level AI infrastructure. This transformation is fundamentally about a holistic migration of enterprise AI architecture—from a "model-centric" approach to one focused on "system infrastructure"—rather than simply an enhancement of individual product capabilities.

Nesa's AI inference process is the end-to-end execution workflow for an AI request: from submission and task scheduling to distributed inference, result verification, and final output delivery. By integrating the MetaInf scheduling system, private inference technology, and verification mechanisms, the process enhances data privacy and result trustworthiness while performing AI inference.

Verifiable AI is a technical mechanism that authenticates the actual execution of AI reasoning, ensures the trustworthiness of output results, and enables independent verification. Nesa embeds Verifiable AI as a core network capability, using cryptographic proofs, distributed execution, and result verification to not only complete AI inference computations but also to prove that the reasoning process meets expectations, thereby strengthening developers' confidence in AI-generated outputs.

Nesa (NES) is an AI infrastructure network designed for privacy-preserving, verifiable computing and decentralized execution. Leveraging Equivariant Encryption (EE), HSS-EE, and a distributed inference architecture, it allows AI models to perform inference tasks without exposing data or model content.

NAVER (035420) stands as one of South Korea’s leading internet platform companies and serves as a key infrastructure provider within the nation’s digital ecosystem. Its operations encompass search engines, content platforms, cloud computing, AI models, and digital financial services.

NAVER is South Korea’s premier internet and technology platform company. Its core strategy is evolving from conventional search and content platforms toward an AI infrastructure driven by large-scale models and Hashrate. Leveraging HyperCLOVA X and advanced cloud computing capabilities, NAVER is reshaping the digital ecosystem.

Meta is building a generative AI ecosystem centered on Llama, embedding AI into its social products, advertising systems, and smart hardware, thereby establishing a differentiated competitive position against Google, OpenAI, and others.

The fundamental reason Meta Platforms has made AI a core strategic priority is that its business model is, at its core, an "algorithm-driven attention economy." Platform value hinges on user dwell time and content-matching efficiency — and AI is the key technology for improving both.

Meta Platforms was founded in 2004, when Mark Zuckerberg created the Facebook social network from his Harvard dormitory with the core mission of connecting global users. As mobile internet adoption surged, Facebook rapidly became one of the world's largest social platforms, and through its acquisitions of Instagram (2012) and WhatsApp (2014), it built a comprehensive social ecosystem serving diverse user segments.

Meta Smart Glasses represent a category of wearable computing devices powered by multimodal AI as their core technology. Their aim is to merge large language models with visual perception systems for real-world interactions, allowing users to instantly access information and execute tasks through voice, images, and environmental awareness. This transforms AI from an "application tool" into an "ambient intelligence layer."

DeepNode (DN) is a decentralized AI infrastructure network designed for the era of Open Intelligence. Its primary mission is to link model developers, computing resource providers, data contributors, and end users, using blockchain-based incentives to build an open, verifiable, and permissionless AI collaboration ecosystem. In contrast to traditional AI platforms dominated by a handful of tech giants, DeepNode aims to decentralize model training, inference services, data contribution, and value distribution.