If you need a computer vision infrastructure that can provide real-time analytics and custom BI dashboards to monitor events and metrics, Viso Suite is a good option. It spans the AI lifecycle, from data ingestion and annotation to model training and deployment. It includes automated data ingestion, real-time analytics and continuous maintenance, making it suitable for organizations of all sizes.
Another good option is LandingLens, a cloud-based service that uses domain-specific Large Vision Models to tackle a range of industry problems. It includes tools for image labeling, one-click training and detailed performance reports. With flexible deployment options and continuous learning, LandingLens lets you build and train your own models to improve performance and scale.
For your BI and analytics needs, Tableau is a popular platform that connects to a broad range of databases and has drag-and-drop interfaces for creating visualizations. It spans a range of deployment options and includes AI/ML capabilities, governance tools and collaboration tools, so you can get more out of your data and run your business more effectively.
Last, Ultralytics is a full-stack vision AI platform that makes it easy to create AI models without a lot of programming. It can perform real-time object detection and has pre-built templates for easy deployment. It has mobile support and multiple pricing tiers, so Ultralytics can be a good option for startups and enterprises.