Axle AI
PaidAxle AI offers AI-powered media asset management for video teams. It provides on-premise or cloud solutions for searching, tagging, and organizing media assets.
Axle AI provides advanced media asset management (MAM) solutions designed for video professionals. You get intelligent search capabilities that go beyond simple file names. You can search your video content using AI-generated tags, transcriptions, and semantic understanding. This means you find what you need quickly, even within complex video files. Axle AI works with your existing storage infrastructure, whether it's on-premise NAS, SAN, or cloud buckets. You maintain control over your media and your AI processing. Choose on-premise AI engines or Axle AI Cloud for flexibility. This approach ensures your data stays secure and accessible according to your needs.
Axle AI empowers your team with practical tools for media workflows. You can catalog all your media assets, including proxies, transcripts, and AI tags, in a unified browser interface. This centralizes your media library, making it easy to manage and access. The system supports custom metadata and workflows, allowing you to tailor it to your specific production processes. Features like trainable face recognition, scene understanding, and logo detection automate tedious tasks. This frees up your team to focus on creative work rather than manual organization.
Axle AI offers flexible deployment options to suit your organization. You can opt for the on-premise MAM solution, ideal for large professional video storage needs, starting at $2,995. Alternatively, Axle AI Cloud provides a cloud-based service with drag-and-drop uploads, AI transcription, tagging, and review/approval workflows for $20/TB/month. For enhanced AI capabilities, Axle AI Tags offers scene understanding, vector search, face, object, and logo detection with API access, starting at $200/month. These tiered options ensure you find a solution that fits your budget and technical requirements.
Use Cases
• Search video content using AI tags and transcriptions. • Organize and catalog media assets in a central interface. • Automate video tagging with face, scene, and logo recognition. • Manage media on-premise or in the cloud. • Integrate AI search with existing storage systems.
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