SUPERB AI.

Announcements

Superb AI Joins NVIDIA’s Physical AI Ecosystem as a Key Vision AI Partner

1. The ChatGPT Moment Has Arrived for Physical AI In January 2026, at CES 2026—the world’s largest technology trade show held in Las Vegas—NVIDIA CEO Jensen Huang declared in his keynote address, “The ChatGPT moment for robotics is here,” officially signaling the start of the This statement is not a rhetorical expression, simply pointing to progress in robotics. It reflects a shift in AI itself—from generating text and images to becoming “intellectual in action” that understands the laws of physics, perceives the complex real world, and performs physical tasks through robotic bodies. If robots in the past were automated machines that followed preprogrammed activities, robots in the Physical AI era are autonomous agents that learn, reason, and adapt to unexpected situations. Superb AI stands at the center of this major technological shift. Introduced at CES 2026 as one of NVIDIA’s key Physical AI partners, Superb AI provides the core Vision AI technologies that enable Physical AI to “see” the world properly and make the right judgments. Working within NVIDIA’s ecosystem alongside robot makers and enterprise software companies, Superb AI serves as a bridge that brings AI beyond the lab and into industrial sites and everyday life. In this post, we take a deep dive into NVIDIA’s Physical AI strategy announced at CES 2026 and provide a comprehensive look at the essence of Physical AI as defined by Superb AI, its core technologies, and its ecosystem expansion strategy through global partnerships. We also examine real-world industrial applications to offer a concrete view of the future changes Physical AI will bring. 2. A Deep Dive Into the Physical AI Ecosystem: NVIDIA’s Blueprint and Key Components 2.1 The Structure of NVIDIA’s Physical AI Ecosystem To foster the Physical AI ecosystem, NVIDIA operates its startup program, NVIDIA Inception. At CES 2026, Les Karpas, global head of Physical AI at NVIDIA Inception, unveiled the key partners expected to lead the Physical AI era. This ecosystem suggests that Physical AI cannot be realized by a single company alone—it is a system in which hardware, AI (the “Brain”), and solutions that bring AI into industry must come together as an integrated whole. NVIDIA’s ecosystem map can be broadly divided into three core areas—hardware, AI, and solutions—and each area operates in close interdependence. 2.1.1 Hardware: The Body, the Senses, and Computing This is the domain that forms the physical foundation of Physical AI. Sensors serve as the robot’s “sense organs” on top of the “body” built by robot makers, while edge computing supports real-time processing. Robot Makers: Sensor Makers: Embedded Computing: 2.1.2 AI (Brain): Cognition, Thinking, and Simulation This is the core software and model layer that brings intelligence to hardware. It is the domain Superb AI belongs to—enabling robots to understand the world, learn, and plan optimal actions. Vision AI (Visual Intelligence): AI for Action Planning & Robot Control: Simulation & Software: 2.1.3 Solution: Industrial Integration and Services This is the infrastructure and services layer that helps integrate Physical AI into real business environments and operate it at scale. Solution and Service Providers: Enterprise Software: 3. Superb AI’s Core Capabilities: Why It Earned a Place in NVIDIA’s Ecosystem In the NVIDIA ecosystem map above, Superb AI is positioned as a key partner in the Vision AI domain. That is because, as Physical AI evolves beyond simple automation into a complete agent capable of Cognition, Thinking, and Action, Superb AI’s technologies became essential. Within NVIDIA’s ecosystem, Superb AI’s technical roles include the following: 3.1 Complete Cognition: 3D Spatial Intelligence and MTMC For robots to operate in the real world, they must understand both the structure of the space they are in and the objects they need to handle—in three dimensions. Superb AI extracts accurate 3D information across both dimensions using only standard 2D camera footage, without relying on expensive 3D sensors. 3D Spatial Intelligence and 3D Reconstruction (Digital Twin): MTMC (Multi-Target Multi-Camera Tracking): 3.2 Intellectual in Action: Context-Aware Agentic AI For Physical AI to work like humans in the field, it must go beyond recognizing objects. It needs to understand context, synthesize complex signals, and make optimal judgments. Instant Intent Understanding with the Vision Foundation Model, ZERO: Complex Reasoning and Control with Agentic AI: 3.3 Turning Video Into Actionable Data: Video Search and Summarization (VSS) Traditional VMS systems typically store footage for a fixed retention period—such as “the last 90 days”—without structure, forcing teams to manually review thousands of hours of recordings when an incident occurs. Superb AI’s technology transforms this workflow in two steps, maximizing the usability of video data. Captioning, Summarizing, and Storing: Efficient, Precise Search through Natural Language: 4. Superb AI and NVIDIA: Maximizing Technical Synergy If NVIDIA is an “infrastructure company” that provides powerful hardware (GPUs) and a general-purpose AI software platform, Superb AI is a key partner that packages these capabilities into application solutions that B2B customers can adopt immediately. Applying NVIDIA’s advanced technologies to real industrial environments involves high technical barriers, and Superb AI fills that gap—creating complementary, end-to-end synergy. By deeply integrating NVIDIA’s four core technology stacks into the Superb Platform, Superb AI delivers the following value. 4.1 NVIDIA Isaac Sim: Real-World Data, Built in Virtual Environments Collecting training data for robots in the real world is not only expensive, but also limited by the need to recreate high-risk scenarios such as fires or collisions. Superb AI addresses this challenge using synthetic data powered by Overcoming the Challenges of Edge Cases: Building a Data Flywheel: 4.2 NVIDIA Cosmos: A Robot Brain That Understands the Laws of Physics NVIDIA Cosmos is not a single model, but rather a family of foundation models designed for various purposes. It includes specialized models such as Cosmos WFM (World Foundation Model), which understands physical-world dynamics, and Cosmos Reason, which infers causal relationships in complex situations. Superb AI optimizes these models for each customer’s real business environment. Using Specialized Models Where They Fit Best: Efficient Fine-Tuning through Data Selection and MLOps: 4.3 NVIDIA Metropolis & MTMC: Seamless Tracking and Scalability NVIDIA Metropolis Edge-to-Cloud Flexibility: City-Scale Wide-Area Tracking: 4.4 NVIDIA VSS Blueprint: Delivering the Next Standard for Video Search NVIDIA’s VSS (Video Search and Summarization) blueprint sets a new standard for next-generation AI architecture—enabling video data to be searched and summarized as freely as text documents. Superb AI has built video understanding and search solutions aligned with this direction and commercialized them into real-world products. Context-Aware Semantic Search: Instant Insights, Not Just Search Results: 4.5 Manufacturing Innovation Powered by NVIDIA: Global Company P The technical synergy between Superb AI and NVIDIA described above does not remain at the research stage. NVIDIA identified Superb AI as the partner best positioned to leverage its technology ecosystem and directly facilitated a collaboration with Company P, a Fortune 50 food-and-beverage company. Company P aimed to adopt AI on-site to improve productivity and eliminate inefficiencies. In response, Superb AI is driving the following operational innovations through a customized solution integrated with Real-Time Anomaly Detection and Tracking: Conversational Data Analysis: This case demonstrates that Superb AI is leveraging NVIDIA’s technology ecosystem to deliver tangible business value for customers. 5. Physical AI: A Clear Path Toward the Future Jensen Huang’s “ChatGPT moment for robotics,” declared at CES 2026, is not a far-off vision—it is a reality that has already begun. And that reality is being built not by any single company, but on a robust ecosystem where hardware, AI, and solution providers come together as an integrated whole. Within this massive ecosystem, Superb AI plays a critical role—providing robots with the “eyes” (Vision) to see the world and the “brain” (Brain) to judge what is happening. The combination of NVIDIA’s powerful infrastructure (Isaac Sim, Cosmos, Metropolis) and Superb AI’s practical application technologies (MTMC, VLM, VSS) has successfully brought lab-stage innovation into real industrial deployment—just as shown in the global Company P case above. From defect detection in manufacturing sites to city-scale safety monitoring and last-mile delivery for autonomous robots, Superb AI’s technologies are reaching wherever Physical AI is needed. Superb AI will continue to solve the toughest challenges of the physical world through close technical collaboration with NVIDIA. Our philosophy—“making the most advanced AI technology the easiest to adopt”—will serve as the most reliable compass for companies navigating the complexity of the Physical AI era. We invite you to be at the center of the Physical AI era that NVIDIA and Superb AI will build together.

Hyun Kim

Co-Founder & CEO | 20 min read