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    LTM Decloner.ai & FrameInspect.ai - Media Cube Solution

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    Sold by: LTM 
    Multi-product
    Value Proposition • Reduced storage and migration costs through intelligent deduplication • Improved catalogue quality and consistency • Risk mitigation for compliance, licensing, and legal audits • Scalable, AI driven accuracy across enterprise scale media libraries

    Overview

    LTM Decloner.ai and FrameInspect.ai together form an AI/ML powered video intelligence solution that enables end to end content deduplication and quality analysis across large media libraries, spanning macro level title comparison to micro level frame inspection. The solution is purpose built to support enterprises during bulk cloud migration, ongoing catalogue hygiene, storage cost optimization, and legal or compliance driven content governance.

    Use cases

    Media Analysis and Metadata Management

    Decloner.ai and FrameInspect.ai together deliver a comprehensive, AI/ML-powered macro to micro video deduplication and content quality intelligence solution for large media libraries. The solution is designed to support enterprises during: • Bulk cloud migration of media archives • Periodic catalogue hygiene • Cost optimization through storage rationalization • Legal and compliance-driven content management

    Details

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    Deployed on AWS
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    Products included

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. Request a private offer to receive a custom quote.

    Integration guide

    Decloner.ai and FrameInspect.ai are tightly integrated with AWS native services to deliver scalable, secure, and high‑performance video intelligence at enterprise scale. The solution is designed to be deployed as a fully managed service, with compute configurations dynamically sized based on the volume of video data to be deduplicated. Depending on workload characteristics, GPU‑enabled compute on Amazon EC2 or containerized workloads on Amazon EKS are provisioned to ensure optimal performance and cost efficiency. Amazon EKS orchestrates the containerized Decloner.ai and FrameInspect.ai processing pipelines, enabling elastic scaling and resilient execution. For high‑throughput video processing, Amazon EC2 with Auto Scaling Groups provides on‑demand compute capacity. Large media assets and derived artifacts are stored durably using Amazon S3, with long‑term archival and cost optimization supported through Amazon Glacier. Event‑driven auxiliary tasks—such as metadata cleanup, orchestration triggers, and batch utilities—are handled using AWS Lambda. End‑to‑end observability and operational monitoring are enabled through Amazon CloudWatch, Prometheus, and Grafana, providing real‑time visibility into system health and performance. Data security and content protection are enforced using AWS KMS for encryption, while secure access, identity management, and governance are implemented through AWS IAM, Single Sign‑On (SSO), and Service Control Policies (SCPs).

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