MicroStation is the trusted CAD software that empowers infrastructure professionals to design, manage, and deliver projects with precision and efficiency. Its power, flexibility, AI automation, and 3D geospatial context enable innovative designs and creative visualizations. Communicate design changes and unite critical project elements in a single environment, ensuring effective and secure project deliverables. MicroStation scales for any infrastructure project, whether it lasts days, months, or years. MicroStation is the foundation for the entire Bentley modeling environment including digital twins.
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Sutton is a manufacturing and distribution ERP platform that combines core operations management with AI-driven automation and customizable applications. The software centralizes inventory, warehousing, sales, purchasing, production, fulfillment, traceability, and compliance in one system. Inventory capabilities include real-time stock visibility, multi-location management, demand forecasting, shipping workflows, and monitoring of materials that may run out. Production features support shop-floor control, production scheduling, work centers, materials, jobs, and operational tracking. Sutton’s intelligence layer analyzes operational data to surface business health, identify exceptions, recommend next steps, and help users act on those recommendations. AI agents can prepare purchase orders, respond to changing production requirements, generate shipping documents, and handle other repetitive operational tasks across modules. Sutton Studio allows users to create custom apps, reports, forms, and workflows by describing what they need in plain English, with the resulting tools operating directly on existing Sutton data and permissions. The platform also includes an AI-assisted onboarding process that can reformat data, map fields, make bulk edits, and configure the system for migration. Sutton integrates with ecommerce, accounting, and sales channels such as QuickBooks, Shopify, WooCommerce, Amazon, and eBay and provides flexible API access for connecting additional systems.
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AWS Panorama
Enhance your existing camera setup by incorporating AWS Panorama devices, which effortlessly connect to your local area network to introduce computer vision capabilities. Achieve highly accurate predictions with minimal latency through a unified management interface that allows for the analysis of video streams in just milliseconds. By processing video feeds at the edge, you gain control over data storage and can function effectively even with limited internet connectivity. AWS Panorama offers a suite of machine learning devices along with a software development kit (SDK) designed to integrate computer vision into your on-site internet protocol (IP) cameras. You can efficiently monitor throughput, improve freight operations, and identify various objects like components, products, or text from labels and barcodes. Additionally, keep a close watch on traffic lanes to identify problems such as halted vehicles, sending instant alerts to personnel to maintain smooth traffic flow. The system also enables rapid identification of manufacturing defects, allowing for timely corrective measures that can lead to significant cost reductions. With the versatility of AWS Panorama, you can adapt to a wide range of applications, making it an invaluable asset for businesses looking to leverage advanced technology.
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Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
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