In a deep-dive partner panel discussion at ISC West 2025, Premio and Intel pulled back the curtain on how their long-standing partnership is driving the next wave of innovation in edge AI computing for the security and surveillance industry. Moderated by Daniel Litwin, “The Voice of B2B,” the conversation spotlighted how hardware and software must work together to deliver the intelligent, real-time processing that modern security applications demand.
Edge AI is More Than a Buzzword—It’s the Backbone of Decentralized Computing
As edge computing moves mission-critical workloads closer to data sources, it’s enabling real-time decision-making in environments where latency and reliability are non-negotiable.
Dustin Seetoo, VP of Product Marketing at Premio, emphasized this evolution:
“We specialize in rugged edge systems where real-time AI inference is essential—from industrial automation to video surveillance. And none of it works without a tight software-hardware ecosystem.”
Jonathan Wood, Head of Software for Edge AI Computing at Intel, echoed the importance of integration:
“We’re building validated, benchmarked edge AI systems across industries, making it easier for partners to deploy AI at scale—with predictable performance.”
Key Trends Highlighted in the Discussion
- Edge Continuum Strategy: Premio outlined how AI workloads are shifting from cloud to the “user edge,” where data is generated. Their systems support this continuum with three tailored categories: industrial, rugged, and specialized edge platforms.
- Open Source and Benchmarking: Intel’s Open Edge Initiative and Metro Suite aim to give developers easy access to pre-validated AI software stacks, accelerating time-to-market and simplifying deployments.
- Multimodal AI at the Edge: From smart cameras to real-time voice and motion detection, new workloads are blending audio, video, and text data—requiring powerful, flexible compute platforms.
- Physical AI & Digital Twins: The panel explored how synthetic data and digital twins are fueling “agentic AI,” where AI systems autonomously adapt and retrain themselves in real time.
Premio and Intel: A Strategic Collaboration for Edge AI
The partnership between Premio and Intel is more than just collaboration—it’s a strategic alignment to accelerate innovation from the silicon level to full-scale edge systems. Intel’s continued investments in processors and AI toolkits empower ecosystem partners like Premio to design solutions optimized for real-world deployment.
“By partnering with Intel, we’re able to tailor our rugged systems to work seamlessly with their silicon and software platforms,” said Seetoo. “It's not about chasing hype—it's about enabling autonomy, efficiency, and intelligence where it matters most: at the industrial, rugged, and specialized edge.”
This co-engineering approach ensures that new solutions can meet the evolving demands of modern surveillance infrastructures—delivering performance, durability, and intelligence where it's needed most.
Looking Ahead: The Next Frontier in Edge AI
As the security industry grows more data-intensive, the need for multimodal AI systems—capable of processing multiple types of data (visual, audio, sensor, etc.) simultaneously—is becoming increasingly critical.
The integration of AI with IoT sensors from diverse camera types is already beginning to transform sectors like public safety, smart cities, and industrial security. These AI-driven systems can adapt, learn, and respond in real time, unlocking unprecedented levels of situational awareness and operational efficiency.
Final Thoughts
Premio and Intel’s shared vision at ISC West 2025 made it clear: the future of security continues to grow with importance at the edge. With AI, IoT, and edge computing converging, organizations can deploy smarter, faster, and more resilient security systems. Through continued collaboration, hardware innovation, and software intelligence, Premio and Intel are ecosystem partners enabling edge computing solutions from silicon to system.