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Cisco Live 2025

· 4 min read
Byungmoon Lee
Byungmoon Lee
Solution Architect
Andy Yun
Andy Yun
Solution Architect

EVA Showcases Innovation with Multi-Modal LLM-Based AI Services at Cisco Live 2025​

Cisco Live 2025, June 8-12, 2025, San Diego

Mellerikat participated in Cisco Live 2025, seizing a valuable opportunity to present its innovative AI service, Mellerikat EVA, powered by Multi-Modal Large Language Models (LLMs), to global customers and partners. At this premier event focused on networking, security, and AI technologies, Mellerikat showcased a demo featuring a unique architecture that implements cost-efficient AI solutions, earning enthusiastic responses from attendees. As the first major event following Cisco’s acquisition of Splunk, Cisco Live 2025 highlighted the integrated future of AI and data analytics. Mellerikat unveiled a Multi-Modal LLM-based solution combining Mellerikat EVA, Cisco Meraki Camera, and Splunk Instance through its demo booth, demonstrating practical AI applications in industrial settings. Notably, our innovative architecture, which significantly reduces the operational costs of Multi-Modal LLMs, left a lasting impression on attendees.





Integration of Mellerikat EVA and Meraki Camera with Multi-Modal LLMs​

At our demo booth, we showcased an AI service integrating Mellerikat EVA with Cisco Meraki Camera, powered by Multi-Modal LLMs. This solution detected attendees in real time, identified individuals wearing specific clothing, and triggered alerts. Leveraging the strengths of Multi-Modal LLMs, Mellerikat EVA processed both image (camera data) and text data simultaneously, achieving high-accuracy detection. The results were visualized in real time on a Splunk Instance, vividly demonstrating the solution’s scalability and real-time analytics capabilities.

  • Core Scenario: Meraki Camera captures footage, EVA analyzes it to detect individuals wearing specific clothing and generates alerts, with results instantly displayed on a Splunk Instance dashboard.
  • Cost Efficiency: Multi-Modal LLMs are often considered costly for commercial use, but Mellerikat’s unique architecture significantly reduces operational costs, greatly enhancing industrial applicability.
  • Attendee Response: Attendees highly valued the combination of cost efficiency and real-time analytics, recognizing its practical value across industries such as security, retail, and public safety.

This demo exemplified how Mellerikat EVA integrates Cisco’s network infrastructure and Splunk’s data analytics platform to deliver efficient and powerful AI services.





Strengthening Technical Partnership with Meraki​

At Cisco Live 2025, discussions with the Cisco Meraki team reinforced the consensus that Mellerikat EVA’s Multi-Modal LLM-based technology is essential for enhancing Meraki’s AI capabilities. The integration of Meraki Camera with EVA was recognized as adding a new dimension of intelligence to network and security solutions through cost-efficient AI services.

  • Achievements: Both parties agreed to further integrate Mellerikat EVA into the Meraki platform, solidifying plans for future collaboration.
  • Future Outlook: Combining Meraki’s cloud-based network management with Mellerikat’s cost-efficient Multi-Modal LLM technology will enable innovative solutions for industries such as smart buildings, retail, and logistics.

These discussions strengthened the partnership between Mellerikat and Cisco Meraki, significantly expanding opportunities for collaboration in the global market.




Pyeongtaek Digital Park Case Study: Recognized as a Top CDA Example​

Mellerikat garnered significant attention at Cisco Live 2025 by presenting its Pyeongtaek Digital Park Country Digital Acceleration (CDA) case study. This implementation of Mellerikat EVA in Pyeongtaek enabled real-time monitoring of workers’ safety conditions and immediate decision-making through alert messages, earning recognition as a top CDA case study.

  • Case Overview: EVA was deployed at Pyeongtaek Digital Park to monitor worker safety and send instant alert messages, maximizing operational efficiency. The unique architecture significantly reduced the operational costs of Multi-Modal LLMs.
  • Attendee Response: Attendees expressed strong interest in EVA’s industrial applicability, particularly in manufacturing, logistics, and smart factories, appreciating its ability to deliver cost savings and high performance simultaneously.

This recognition as a top CDA case study validated Mellerikat EVA’s ability to create tangible value in industrial settings.





The Beginning of Relentless Innovation​

Cisco Live 2025 was a significant opportunity to showcase Mellerikat’s Multi-Modal LLM-based AI service, EVA, on a global stage. Our ability to implement commercially challenging Multi-Modal LLM technology in a cost-efficient manner through a unique architecture resonated deeply with attendees, leaving a lasting impression. The integration of Mellerikat EVA, Cisco Meraki Camera, and Splunk Instance opened new possibilities for digital transformation, while discussions with Meraki and Splunk laid the foundation for future innovations. This event is just the beginning. Through close partnerships with Cisco and Splunk, Mellerikat will continue to develop cutting-edge AI services that transcend the boundaries of networking, security, and data analytics. The enthusiasm and feedback from attendees at Cisco Live 2025 have inspired us to deliver even greater technology and value moving forward.