Document Library

Enable real-time video monitoring and analytics at the edge with local processing, integrated storage, and an open software ecosystem for partner-led solutions.

RiderTrack is an AI-powered surveillance and video-summarisation solution for quick-commerce dark stores, running on Intel edge compute that sees what the dispatcher cannot. It closes the dark-store visibility gap where delivery agents exploit the dispatch system during rain, traffic, or low-demand windows by staying idle and falsely signalling a rider shortage, triggering artificial surge pricing and higher customer charges. Ingesting existing apron, gate, and loading-bay CCTV via RTSP, it processes data on air-gapped Intel edge nodes (~100 TOPS on-prem), ensuring no faces leave the box and full data sovereignty is preserved.

HawkEye 2.0 by JAAN Innovations is an AI-driven, edge-intelligent smart parking platform with real-time vehicle detection, automated access control, and dynamic capacity management in high-traffic environments.

AIREV's OnDemand is an all-in-one no/low-code agentic AI platform and decentralized operating system that enables businesses to create, deploy, and manage autonomous Al agents, RAG applications, and intelligent automation workflows across cloud, on-premises, and hybrid environments. It transforms operations by automating workflows end-to-end with intelligence that learns, collaborates, and evolves in real time—delivering value in weeks, not months.

An in-depth report on the top 10 retail technology trends for 2026, highlighting the impact of Agentic AI, intelligent automation, computer vision, smart stores, real-time inventory, personalized shopping, and edge computing. It provides actionable insights for retailers, brands, and technology vendors preparing for the future of AI-driven retail.

Deltaflare, OnLogic, and Intel jointly deliver the Phoenix Platform—a modular, software-defined framework for securing and modernizing critical infrastructure without disrupting existing systems.

The BMX-P820 is built to deliver high-performance computing with efficiency, reliability, and flexibility for demanding industrial AI workloads. It supports 14th Gen Intel® Core™ processors, enabling robust processing power for advanced AI acceleration and image analysis applications. The system features a low-noise thermal design that maintains operating noise levels below 40 dB, even during extended periods of high-performance operation, significantly enhancing user comfort.

Wherever space is limited and performance matters, the Panache AI Mini Tower PC PDLMT-225-AI brings powerful capability to the smallest places. Driven by the Intel® Core™ Ultra 5 processor 225 with integrated Intel® Graphics and Intel® AI Boost NPU, this compact system delivers workstation-class AI inferencing while optimizing space and energy efficiency.

xis.ai brings next-gen visual inspection to the factory floor. XIS Edge AI is a no-code AI solution optimized for Intel® Arc GPUs and Intel® Core Ultra processors that enables real-time, low-power edge deployment—making high-accuracy defect detection fast, simple, and scalable.

Powered by Intel® Core™ Ultra processors (Series 1), the EMS-MTH addresses key industrial challenges such as harsh operating environments, diverse I/O requirements, and increasing demand for Edge AI computing. Its fanless, rugged design ensures reliable operation across wide temperature ranges, reducing maintenance costs and improving system longevity in mission-critical deployments.

JamAI Base is an enterprise-grade, low-code Al platform that empowers organizations to securely build, deploy, and maintain auditable Al solutions in days, not months. Designed for on--premise and air-gapped environments, it solves key challenges of security, compliance, and slow time-to-value.

ARCos is an advanced robotics cognition operating system designed to enable real-time, autonomous decision-making for industrial robots in manufacturing environments. By integrating multimodal AI—including vision, audio, and language—ARCos delivers situational awareness, voice-driven task execution, and adaptive robotic actions directly on-device.