Software Ecosystem
Edge computing and real-time AI inference solutions leveraging NVIDIA GPUs and low-latency networks.
Comprehensive AI framework for deploying machine learning models across mobile, web, and embedded edge applications.
Fully self-hosted secure AI platform running entirely on local infrastructure with no cloud required.
Automated edge and vision AI platform that adapts models and configurations for optimal inference performance.
Hardware-aware AI model discovery and recommendation tool matching models to local CPU, GPU, and memory specs.
Open-source edge runtime and cloud service for building, deploying, and managing IoT device software locally.
Leading machine learning platform for edge devices, enabling developers to build and deploy custom ML models.
End-to-end vision AI ecosystem featuring YOLO models for high-speed object detection, tracking, and edge deployment.
Software-defined AV and visual display management platform centralizing control across enterprise environments.
High-speed AI inference SDK optimized for executing deep learning models efficiently on edge hardware.
Integrated AI and IoT platform designed for smart building management, firefighting, and urban services.
AI-powered platform automating document analysis and workflows for construction and tender management.
Software-based virtual sensor platform utilizing ultrasonic AI technology for smart device interaction.
Compact, energy-efficient AI accelerator card delivering high-performance edge inference for workstations.
Enterprise Video AI middleware platform featuring an app marketplace for large-scale computer vision deployments.
Fully managed cloud service built on Azure IoT that allows cloud intelligence to be deployed locally on edge devices.
Comprehensive suite of tools for building, deploying, and managing fleets of connected Linux edge devices.
Compiler tool translating high-level neural network models into optimized, hardware-compatible representations for Hailo processors.
AI platform enabling developers to easily build and deploy powerful computer vision models on edge infrastructure.
High-performance and energy-efficient AI chip solutions designed for diverse edge intelligence applications.
Intelligent command center and IoT management platform featuring natural language AI operations for device networks.
Infrastructure solutions designed to enhance smart city performance and industrial automation through local data processing.
Air-gapped, offline personalized AI assistant ensuring high-level data privacy and security on local devices.
Federated learning platform enabling edge devices to collaboratively train AI models without sharing raw data.
Advanced edge AI platform empowering intelligent processing and real-time inference on deployed hardware.
Open platform for evaluating, serving, and managing large language models at the edge and cloud.
Edge AI solution automating complex visual inspection and high-precision defect detection on industrial shop floors.
Intelligent edge connectivity and AI workflow management platform for distributed industrial assets.
No-code/low-code edge IoT platform enabling quick integration of sensors, cameras, and AI vision capabilities.
Compact M.2 AI accelerator module enabling real-time deep neural network and generative AI inference on PCs and edge hardware.