7 posts tagged with "Physical AI"

🏛️ Infrastructure Evolution on Naver Cloud: Establishing a High-Efficiency, Cost-Optimized Service Framework​

EVA has moved beyond the operational limitations experienced in traditional public cloud environments and designed an optimized server specification centered on NPUs. By transitioning from high-cost GPU-based infrastructure to high-efficiency NPU-based architecture, we have achieved a far more economical and stable service delivery model. With hardware and platform now organically integrated, EVA SaaS delivers a seamless, real-time multimodal AI experience to customers.

🌐 EVA Meets the Naver Ecosystem: Expanding the Horizon of “Intelligent Space Management”​

Going beyond simple monitoring, mellerikat EVA understands and protects physical spaces. We have successfully established a SaaS (Software as a Service) environment built on Naver Cloud. This is more than a cloud migration—it marks the beginning of an innovative journey where Naver’s vast service ecosystem and EVA’s AI technologies converge to create new customer value.

🚒 [Public Safety] Integration with Naver Map: A New Perspective on National Disaster Management​

By integrating EVA with Naver Map, we can more tightly connect safety monitoring across the entire country. We are planning real-time monitoring services for large-scale disasters such as wildfires, fires, and floods, targeting local governments and national fire agencies. Emergency situations detected by EVA will be synchronized with precise location data on Naver Map in real time, establishing an optimized disaster management solution that helps secure the golden time.

🏪 [Shared Innovation] Integration with Naver Place: “Safety Care” Solution for Small Businesses​

EVA will safeguard the valuable stores of countless small business owners using Naver Place, 24/7. By detecting early signs of fire and safety incidents in real time, we aim to create an environment where business owners can focus on their work with peace of mind. Based on EVA’s safety management data, we plan to collaborate with insurance providers to offer dedicated insurance products with reduced premium rates. Through this, small business owners can lower operational risks while reducing fixed costs, gaining tangible financial benefits.

🚀 Continuously Expanding EVA x Naver Service Synergy​

Naver Cloud Platform (NCP) provides a strong foundation for EVA to expand into a broader world. We will continue to integrate with various Naver services to introduce unprecedented service scenarios across logistics, retail, smart cities, and beyond.

"Adding intelligence to spaces, transforming the value of everyday life."

We invite you to look forward to a safer and more convenient future shaped by Naver’s powerful service network and EVA’s differentiated AI technology.

POSTECH (Pohang University of Science and Technology), the epicenter of engineering education and research in Korea, has officially confirmed the adoption of mellerikat’s EVA at its Future Technology Center. This collaboration goes far beyond enhancing campus security—it marks a major milestone in building a Data Living Lab, where all visual data generated on campus is transformed into valuable research assets.

🏛️ The Entire Campus as a Massive AI Laboratory​

An Integrated Indoor & Outdoor Sensor Network​

The POSTECH Future Technology Center will unify its existing campus-wide CCTV infrastructure through the EVA platform. By integrating sensors across the entire campus, the university establishes an infrastructure capable of real-time perception and reasoning—understanding and interpreting events in the physical world without human intervention.

🧪 A New Fuel for R&D​

From “Discarded Footage” to “High-Value Data”​

Until now, campus video data has been treated as ephemeral information, deleted after a certain retention period. EVA fundamentally changes this paradigm by turning video into long-term research assets.

• A Catalyst for LLM & VLM Innovation EVA automatically converts unstructured video into structured data. This creates high-quality multimodal datasets for training next-generation Large Language Models (LLMs) and Vision-Language Models (VLMs), allowing researchers to focus on insight generation rather than data preprocessing.

• Spatiotemporal Metadata Enrichment Instead of storing video alone, EVA enriches data with contextual information—such as congestion levels during exam periods (Time) or in library spaces (Space)—significantly increasing data density and analytical value.

🔒 Privacy-by-Design​

Secure Research Assets, Completed at the Moment of Collection​

As massive volumes of visual data are transformed into research assets, privacy protection stands as the highest priority of the POSTECH Living Lab.

• Immediate Data Processing Raw video captured by cameras is analyzed instantly at the point of collection, before being stored on servers.

• Automatic De-identification Any personally identifiable information detected during analysis is immediately de-identified. This ensures that researchers can securely access high-quality research datasets without privacy concerns.

🚀 A Research Ecosystem Where Students Become Creators​

Student as a Creator​

The POSTECH Living Lab redefines students not as passive service users, but as active producers of technology.

• AI Training with Real-World Data Instead of textbook examples, students train AI models using real data generated from their own campus environment, implementing advanced decision-making logic firsthand.

• Development of On-Site, Practical Services By deploying AI services that solve everyday problems—such as cafeteria queue prediction or classroom energy optimization—students directly experience the full potential of a Physical AI platform.

“Reading the real world as data, interpreting it with AI, and transforming reality for the better.”​

The virtuous cycle that POSTECH and EVA are building together is a compelling example of how a university campus can become a hub for future technologies. As everyday life at POSTECH turns into data—and that data, in turn, shapes the technologies of tomorrow—we invite you to follow this journey into the future.

EVA Meets Cisco Meraki: Strong On-Site Engagement Through the Ringnet Booth and Customer Case Presentation​

On January 29, 2026, the Cisco Korea Manufacturing Summit 2026, a key event focused on digital transformation in the manufacturing industry, was successfully held. At this event, Mellerikat showcased its innovative Physical AI solution, EVA, presenting concrete ways to maximize safety and operational efficiency on manufacturing floors. In particular, the co-hosted booth with partner Ringnet and the live customer case presentation left a strong impression on attendees. Here are highlights from the vibrant现场.

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1. Capturing Attention on the Floor: “EVA x Meraki” at the Ringnet Booth​

At this summit, Mellerikat demonstrated a real-time Physical AI solution that combines Cisco Meraki with EVA at the Ringnet booth.

The booth featured a live demonstration integrating Meraki cameras, backed by robust cloud-based infrastructure, with EVA, which analyzes visual data much like the human eye and brain. Visitors were able to see firsthand how simply connecting EVA to an existing CCTV infrastructure transforms it into an intelligent system capable of understanding and 판단 complex physical environments on its own.

💡 On-site feedback: Many attendees showed strong interest in the ability to build an advanced AI analytics environment using their existing Meraki infrastructure—without investing in additional high-cost hardware. In particular, real-time dashboard visualizations for worker safety detection and restricted-area intrusion alerts, both critical in manufacturing environments, drew enthusiastic reactions from practitioners.

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2. A Customer Case Presentation Filled with Laughter and Empathy​

Starting at 1:00 PM, the Case Study session was held under the theme “An Intelligent Platform Opening the Era of Physical AI.” Rather than a simple feature walkthrough, the session vividly illustrated how EVA is actually being used in real manufacturing sites.

The presentation covered concrete examples of how EVA has been deployed in production environments to protect workers and improve operational efficiency. As demonstrated in locations such as Pyeongtaek Digital Park, scenarios where EVA checks compliance with safety gear requirements or immediately alerts operators to dangerous situations resonated strongly with the audience as practical, real-world solutions.

🗣️ Presentation atmosphere: Although it could have been a dry technical session, the speaker explained how EVA addresses on-site challenges with wit and clarity, keeping the audience engaged throughout. After the session, many attendees followed up with comments like “We want to apply this to our factory right away,” clearly demonstrating that EVA is not just theoretical technology, but a “living technology” ready for immediate deployment.

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3. Powerful Technology Designed for Ease of Use: EVA​

The core value of EVA emphasized throughout the summit was “professional AI that anyone can use easily.”

• ✅ Natural language–based control: No complex coding is required. By entering scenarios in everyday language—such as “Find workers not wearing safety helmets”—EVA understands the intent and begins analysis. This enables on-site managers to operate AI systems without being IT experts.
• ✅ Cost-efficient architecture: Through its unique architecture, EVA significantly reduces the operational costs typically associated with high-priced multi-modal LLMs. As a result, enterprises can deploy high-performance AI across manufacturing sites without excessive infrastructure 부담.
• ✅ Beyond detection to action (Physical Action Trigger): EVA does more than just observe. When a risk is detected, it can trigger real-world actions—such as turning on warning lights or controlling gates—by integrating with physical devices, delivering a complete closed-loop system.

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4. Moving Forward with Continuous Innovation​

The Cisco Korea Manufacturing Summit 2026 clearly demonstrated the value that Mellerikat EVA can create in the manufacturing industry. The strong interest at the Ringnet booth and the lively interaction during the presentation sessions reinforced our confidence in the direction we are heading.

Together with trusted partners such as Cisco Meraki and Ringnet, Mellerikat will continue to lead innovation in Physical AI, helping manufacturing sites become safer, smarter, and more efficient.

👉 Industrial AI Powered by EVA: Finding the Answer in 'Economic Efficiency' Beyond Performance​

In industrial environments, AI is no longer a function to be called only when needed.

It must be an 'Always-on' system that performs continuous inference 24/7, processing the constant stream of data generated by cameras and sensors.

However, operating massive AI models like Vision-Language Models (VLMs) on expensive GPU-based infrastructure around the clock imposes a significant cost burden on customers.

To break down this cost barrier and accelerate the adoption of industrial AI, mellerikat EVA has joined forces with Rebellions.

👍 1. NPU: Surpassing GPU Limits in Price Competitiveness and Efficiency​

Innovation in infrastructure costs (TCO) is essential for the widespread adoption of industrial VLM services. Rebellions' NPU meets these demands with superior efficiency compared to general-purpose GPUs.

• Unrivaled Inference Performance: Rebellions’ ATOM NPU has proven up to 3x faster processing speeds in the vision domain compared to equivalent GPUs in global benchmarks like MLPerf.
• Superior Performance-per-Watt and Cost Savings: In a 24/7 operational environment, the NPU reduces power consumption by more than 50% compared to GPUs while maintaining high throughput (TPS). This directly leads to a reduction in the customer's operational cost burden.
• VLM Optimization: Latest large-scale model optimization technologies, such as FlashAttention and PagedAttention, are implemented at the hardware level, allowing heavy VLMs to run lightly and quickly.

EVA running on Rebellions NPU means customers can own cutting-edge Physical AI at the most economical cost.

👍 2. VLM Optimization: Extensive Model Testing and Technical Validation​

mellerikat is currently testing various state-of-the-art VLM models within the EVA platform in the Rebellions NPU environment.

We are going beyond simply replacing hardware; we are advancing our software stack to ensure that complex industrial scenarios are processed at optimal speeds on the NPU.

Through this process, we are finalizing the 'NPU-based VLM Service, EVA' at a level ready for immediate field deployment.

👍 3. From LG Electronics Deployment to Global Supply: A Strategic Roadmap​

The collaboration between mellerikat and Rebellions aims for substantial business expansion beyond a simple technical partnership.

1. Advanced VLM Optimization: We are in the validation stage to ensure optimal power efficiency and processing speed by testing various latest VLM models on Rebellions NPU.
2. Deployment at LG Electronics Production Sites: Based on validated VLM models and NPU optimization technology, we are prioritizing the introduction of NPU-based AI into major production processes and safety monitoring systems within LG Electronics.
3. External Supply of EVA+NPU Package: Leveraging successful references at LG Electronics, we plan to provide the EVA platform in an integrated solution package with Rebellions NPU for future external clients.

By adopting EVA, customers can enjoy a full-stack service that combines optimized hardware and a robust platform at a reasonable price, without the hassle of selecting complex hardware themselves.

👏 Conclusion: The Standard for Sustainable Industrial AI​

The combination of EVA and Rebellions NPU is a strategic choice to transform AI from a simple technology adoption into a service structure that operates continuously at a realistic cost.

Through this powerful collaboration spanning from hardware to the service platform, mellerikat will become a partner that accelerates AI transformation in industrial fields and fundamentally resolves the infrastructure burden for our customers.

We held strategic discussions with Ringnet CEO Lee Jeong-min regarding the expansion of the EVA business.

As the domestic distributor of Cisco Meraki, Ringnet is a specialized partner with powerful network/security infrastructure and on-site implementation capabilities. Through collaboration with LG Electronics, Ringnet will play a crucial role in expanding EVA's Physical AI technology across various industries, including manufacturing, logistics, and the public sector.

During this meeting, we discussed in-depth strategies for nationwide and global expansion, building on the success of the "Meraki CCTV + EVA" integration PoC (Proof of Concept) verified at the LG Electronics Pyeongtaek Digital Park. Based on the success factors of the Pyeongtaek case, we explored ways to seamlessly integrate EVA into the Meraki ecosystem, making it easier for domestic manufacturing companies to adopt the solution and establishing a foundation for long-term global market expansion.

Regarding the direction of the partnership, we agreed to promote mutual growth through various business models, such as proposing an integrated package of "EVA + Meraki CCTV + Action Trigger" sensors, as well as standalone EVA sales structures. Ringnet plans to identify key targets within its existing customer base in manufacturing, distribution, logistics, and the public sector through consultation with its sales force, which will further accelerate EVA's market penetration.

Notably, at the Manufacturing Summit hosted by Cisco Korea on January 29, EVA will be featured and demonstrated as the main solution at the Ringnet booth. Moving beyond a simple CCTV exhibition, we are co-developing real-time demo scenarios designed to capture customer interest. These collaborative efforts are opening new possibilities for EVA to lead innovation in safety, security, and operations at domestic manufacturing sites by combining with Meraki's global cloud infrastructure.

We look forward to the exciting developments ahead.

I had an insightful session with Raymond, VP and APAC Sales Lead at Cisco, exploring strategic collaboration opportunities between Mellerikat EVA and Cisco’s cloud-managed Meraki camera platform.

The synergy between Meraki’s highly scalable, cloud-native video infrastructure and EVA’s lightweight yet high-precision AI vision engine offers significant potential across multiple industries. By combining Meraki’s centralized management and secure architecture with EVA’s advanced scenario detection capabilities, organizations can elevate an existing camera network into a powerful real-time intelligence platform—without additional hardware deployment.

During our discussion, we aligned on establishing an EVA demo environment at Cisco’s headquarters and initiating joint PoCs leveraging video data from Meraki cameras installed in public sectors such as schools and airports. These efforts aim to validate various safety, operational, and risk-detection use cases that can unlock new service models.

This collaboration represents a compelling opportunity to merge cloud-first infrastructure with cutting-edge AI. Exciting developments lie ahead.

We recently held a collaborative session at KOCOM’s Magok headquarters to explore deeper partnership opportunities. During the meeting, both teams engaged in an in-depth discussion on KOCOM’s business model and the technical strengths of Mellerikat EVA, examining concrete pathways for applying AI-driven capabilities across real-world use cases.

KOCOM expressed strong interest in EVA’s economic efficiency and scalability, and both sides agreed to pursue a joint Proof of Concept (PoC) along with continued discussions to refine potential business models.

The session also provided valuable insight into how advanced AI technology can drive innovation in smart buildings and home IoT solutions, highlighting promising opportunities within the residential market.

Building on this momentum, both companies will continue strengthening their collaboration to deliver next-generation AI-powered smart living experiences. More exciting developments lie ahead.