SEOUL, South Korea, June 2, 2026 /PRNewswire/ -- LG Display, the world's leading innovator of display technologies, announced today that it has achieved Automotive SPICE (ASPICE) Capability Level 2 (CL2) from certification body C&BIS, strengthening its position as a technology-centered company as its display technology capabilities are recognized for software quality and reliability.
The company achieved ASPICE certification by integrating its proprietary diagnostic and control functions into displays designed for automotive instrument clusters and center fascias. Through this certification, LG Display has demonstrated its capabilities in ensuring software quality and reliability as a key partner in automotive electronic systems.
ASPICE, which stands for Automotive-Software Process Improvement Capability dEtermination, is an international standard established by the automotive industry to evaluate the software development capabilities and reliability of suppliers. As the number of electronic control units (ECUs) installed in vehicles has recently increased sharply, even a single software defect can directly lead to a major accident or large-scale recall, making thorough management from the development stage essential for all related components. Accordingly, ASPICE evaluates whether systematic processes are established and operated across automotive software development as a whole.
The automotive industry is rapidly transitioning from a hardware-centric structure to the era of software-defined vehicles (SDVs). In line with this shift, the role of in-vehicle displays is also evolving beyond simple information display into an advanced software platform encompassing infotainment and vehicle control.
Last December, LG Display became the first in the display industry to obtain ISO/SAE 21434, the international standard for automotive cybersecurity engineering. Securing ASPICE CL2 again highlights the differentiated competitiveness of the company's automotive displays.
Building on this achievement, LG Display plans to enhance its competitiveness in securing new business, particularly in key markets such as North America. The company also aims to further strengthen strategic partnerships with customers as the automotive industry increasingly becomes software-driven.
"Reaching ASPICE CL2 validates that LG Display's automotive displays deliver not only hardware excellence but also high-quality software capabilities," said Keuk-sang Kwon, Head of the Auto Business Group at LG Display. "We will continue to reinforce our leadership in the automotive display market based on our differentiated proprietary technologies and advance as a technology-driven company that proactively delivers customer value."
About LG Display
LG Display Co., Ltd. [NYSE: LPL, KRX: 034220] is the world's leading innovator of display technologies, including thin-film transistor liquid crystal and OLED displays. The company manufactures display panels in a broad range of sizes and specifications primarily for use in TVs, notebook computers, desktop monitors, automobiles, and various other applications, including tablets and mobile devices. LG Display currently operates manufacturing facilities in Korea and China, and back-end assembly facilities in Korea, China, and Vietnam. The company has approximately 53,049 employees operating worldwide. For more news and information about LG Display, please visit www.lgdisplay.com.
Media Contact:
Joo Yeon Jennifer Ha, Team Leader, Communication Team
Email: hjy05@lgdisplay.com
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LG Display demonstrates SDV technology leadership with ASPICE global automotive software recognition
TAIPEI, June 2, 2026 /PRNewswire/ -- Life science research is entering an AI era, but most discovery teams still cannot use frontier models at scale. Advanced AI models, molecular simulation tools, scientific databases, inference optimization and GPU infrastructure remain fragmented across separate systems. For many pharmaceutical companies, ingredient innovators, biotech teams, and research groups, this makes AI adoption slow, costly, and technically demanding.
NYB.AI, a Singapore Artificial Intelligence (AI) technology startup developing infrastructure for molecular discovery and life science research, aims to address this gap with Vecura, its agentic AI platform that connects scientific models, biological data, molecular analysis tools, and GPU accelerated computing into a unified discovery workflow.
Vecura 2.0 builds on the original Vecura 1.0 platform, which provided access to AI models and scientific tools for molecular discovery. With the new agentic layer, Vecura 2.0 moves beyond tool access toward workflow execution. It is designed to help research teams define scientific objectives, retrieve relevant context, activate suitable models, compare outputs, and generate structured decision support with less manual coordination.
From model access to agentic workflows
Vecura was built around a simple premise: the next barrier in AI for science is not access to more models. It is the ability to make those models work together in discovery settings. The original Vecura platform brought hundreds of AI models, scientific tools, biological data, and molecular analysis capabilities into connected workflows, helping research teams move across compound analysis, target exploration, formulation research, toxicity assessment, and translational R&D without relying on separate systems at every step.
Vecura 2.0 extends this foundation with an agentic AI layer. The upgraded platform is designed to reason across the workflow by understanding research objectives, retrieving relevant scientific context, selecting suitable models, coordinating execution, comparing outputs, and generating structured next step recommendations. This evolves Vecura from a workflow platform into a more intelligent discovery system that can assist scientists at scale, closer to how real research decisions are made.
This agentic approach allows scientists to focus on research direction rather than infrastructure management. It also supports NYB.AI's broader vision to democratize molecular discovery by making advanced AI models, scientific tools, and GPU intensive workflows more accessible to teams beyond large pharmaceutical organizations and specialized computational labs.
Scaling access through NVIDIA technologies
NYB.AI is strengthening Vecura's agentic architecture for scientific discovery using NVIDIA technologies. As a member of the NVIDIA Inception program for startups, NYB.AI received access to NVIDIA Hopper GPUs through NVIDIA Innovation Lab, along with engineering guidance to advance Vecura's ability to plan, execute, and coordinate complex research tasks. This support enables Vecura to move beyond isolated model execution toward connected workflows where scientific context, model selection, inference, comparison, and decision support operate as one system.
Vecura is powered by NVIDIA technologies spanning agentic orchestration, scientific modeling, data and retrieval, and production deployment - all running on NVIDIA accelerated computing.
NYB.AI is also developing a token based access model for Vecura 2.0. Through platform credits, biopharma companies, ingredient companies, and research teams can access AI powered discovery workflows such as compound screening, bioactivity prediction, and molecular docking. This model allows users to run compute intensive scientific tasks through NYB.AI's platform without needing to build or operate their own infrastructure.
What's next?
NYB.AI is bringing Vecura 2.0 to the NVIDIA Inception Startup Showcase at the Inception Pavilion during InnoVEX 2026 (June 2–5, 2026, Taipei Nangang Exhibition Center). The showcase will give NYB.AI an opportunity to validate Vecura 2.0 with enterprise leaders, investors, ecosystem partners, and international buyers, and strengthens its visibility within NVIDIA Inception ecosystem — demonstrating how agentic AI can move beyond model experimentation into usable research infrastructure for molecular discovery teams.
At InnoVEX 2026, NYB.AI will demonstrate how Vecura 2.0 can support molecular discovery and life science research across pharmaceuticals, nutraceuticals, cosmetics, food science, functional ingredients, and consumer health. The platform reflects NYB.AI's broader mission to make advanced AI discovery infrastructure more usable, scalable, and accessible across the life science ecosystem.
About NYB.AI
NYB.AI is an AI biotechnology company developing infrastructure for molecular discovery and life science research. Its flagship platform, Vecura, is an agentic AI platform that connects AI models, scientific tools, biological data, retrieval systems, accelerated computing, and autonomous workflows to help life science teams shorten discovery cycles and prioritize high-potential candidates.
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NYB.AI Launches Vecura 2.0, Bringing Agentic AI Workflows to Molecular Discovery, with NVIDIA
