
Intel and KoiReader Fuel Smarter, Leaner Operations with Vision and Agentic AI
Rob Risany, Director of Edge AI Solutions, Intel Corporation, quoted that "KoiReader's Intel accelerated AI solution provides supply chain leaders the accuracy and process efficiency they need in today's highly competitive market". And we concede.
At KoiReader Technologies, performance, precision, and scalability define every solution we build. From optimizing warehouses and yards to enabling autonomous logistics operations, our AI systems demand computing power that can keep pace with real-time decision-making.
Intel is accelerating its focus on AI across every domain - from PCs to cloud and edge environments with a strong foundation in engineering excellence, innovation, and disciplined execution. Its zero-friction deployment model, which seamlessly orchestrates workloads across heterogeneous infrastructures, has been a true game-changer for KoiReader.
The Intel Advantage Across Our Edge and Cloud Operations: Every KoiReader deployment, from cloud-hosted analytics to ruggedized edge devices, runs on Intel-powered architecture. Our edge computers and processors carry a strong Intel footprint, enabling seamless integration across cloud and on-premises environments.
For instance, our Yard Intelligence Vision AI solution suite uses edge servers powered by Intel processors, designed to perform under industrial conditions while maintaining low latency and high efficiency. On the cloud side, our servers are equipped with Intel® Xeon® processors, which accelerate throughput and enable real-time AI inference for high-resolution visual streams.
Hyperthreading for Performance and Efficiency: Intel's Hyper-Threading Technology allows KoiReader systems to handle parallel processes with remarkable speed. This capability is crucial for our AI workloads, particularly in video analytics, image processing, and OCR where responsiveness and throughput are key.
By efficiently utilizing threads over cores, we can scale workloads without exponentially increasing hardware costs. This ensures we get the best performance-to-cost ratio while maintaining enterprise-grade processing speeds. In simple terms: more throughput, lower latency, and optimized compute spend.
Under the Intel Umbrella - Powering Every Layer of KoiReader's AI Stack: Our flagship platform, KoiVision®, automates and optimizes logistics, warehouse, and industrial operations through real-time visual intelligence. Its success depends on the synergy between powerful NVIDIA GPUs and Intel CPUs that excel in terms of speed, stability, and cost-effectiveness.
Intel® processors deliver superior arithmetic and imaging computation vital for the deep learning and anomaly detection models that power KoiVision®.
Our innovation roadmap includes deeper collaboration with Intel's AI ecosystem. We're experimenting with OpenVINO™-based models to enhance OCR, reduce inference costs, and accelerate edge processing. Additionally, we're exploring Intel's Vision-Language Models (VLMs) that can efficiently run on CPUs unlocking new frontiers in explainable, multimodal AI.
Even our video compression workflows leverage FFMPEG, which relies on Intel's hyperthreading to handle multiple streams simultaneously enabling faster, lossless video handling and analytics.
Intel and KoiReader - Shaping the Future of Retail: Ashutosh Prasad, our Founder and CEO, was invited by Intel Corporation to speak at VARTECH 2024, where he shared the stage with Rob Risany from Intel. The event, held on September 16th and 17th in Orlando, Florida, highlighted the synergy between Intel and KoiReader, focusing on how joint innovations are driving transformation across the retail industry.
Their discussion showcased how Intel-powered technologies and KoiReader's AI-driven solutions are working together to enable smarter, more efficient, and frictionless enterprise operations.

KoiVision® is the Logistics, Supply Chain, and Industrial Automation Newsletter where we highlight how you can reimagine operations through Deep Tech Insights.
Written by
Vivek Prasad
Co-Founder & CTO, KoiReader Technologies
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