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    Mago AI Rendering Toolkit

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    Sold by: Mago 
    Mago is an AI rendering and AI VFX platform for animation studios, VFX studios, and production companies. Transform and stylize existing footage at production quality. Apply a visual style across shots with consistency, control, and a pipeline built for professional teams.

    Overview

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    Mago is an AI video transformation and stylization platform built for professional production. Instead of generating footage from scratch, Mago transforms footage you already have: live action plates, animatics, previz, 3D renders, or archive material. Studios use it to render shots in a target visual style, explore looks during development, and accelerate stylized production pipelines.

    Mago is organized the way productions are. Work is structured by project and shot, with multiple render tracks per shot so teams can compare versions and iterate. Style consistency is maintained across shots, which makes Mago suitable for episodic and feature work, not just one-off clips.

    The platform combines Mago's proprietary transformation and style transfer models with leading third-party models, so teams can choose the right engine for each shot. Typical use cases include 2D and stylized rendering from 3D or live action input, look development, remastering, and localization of vertical drama and episodic content.

    Highlights

    • Transform existing footage instead of generating from scratch. Live action, animatics, previz, and 3D renders become stylized, production-ready shots.
    • Built for studio pipelines. Project and shot structure, multiple render tracks per shot, and style consistency across sequences for episodic and feature work.
    • Flexible deployment options with private cloud or on-premise setups ensuring security, compliance, and dedicated enterprise support.

    Details

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    Deployed on AWS
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    Pricing

    Mago AI Rendering Toolkit

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    Enterprise Plan
    Monthly subscription for large companies, including credits, and devops
    $1,200.00

    AI Insights

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    Dimensions summary

    This listing offers one pricing dimension: the Enterprise Plan, billed as a monthly subscription in Units. It targets large companies and bundles credits along with devops support. Pricing is volume-based and aligned to your production scope. Your cost depends on factors like shot volume, deployment model, custom model training needs, and infrastructure configuration. Because it is a single contract-based plan, there are no separate tiers or add-ons to choose between on Marketplace. You commit through the monthly subscription and scale the number of Units to match your studio's rendering workload.

    Top-of-mind questions for buyers

    A Unit maps to your allocated share of credits, deployment, and devops support under the monthly subscription. Enterprise engagements are structured around shot volume, deployment model, custom model training needs, and infrastructure setup. So Units scale with your production scope rather than tracking a single fixed resource like a seat or server.
    Cost is volume-based and tied to production scope. As shot volume, custom model training, or infrastructure needs increase, you adjust the number of Units in your monthly subscription. The vendor provides cost breakdowns during a technical evaluation to align pricing with your studio's output.
    The Enterprise Plan bundles credits and devops support. Deployment model, custom model training, and infrastructure configuration are defined during a technical evaluation phase. Private cloud or on-premise deployment and dedicated engineering support are arranged with the vendor to match your studio's security and compliance needs.
    www.mago.studio+1
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    Vendor refund policy

    All fees are non-refundable except where required by law. If a technical issue prevents use of the service, contact support@mago.studio  within 14 days of the charge and we will review your case. Cancellation stops future billing but does not refund the current period. Refunds for unused credits are at Mago's discretion.

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    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

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    Support

    Vendor support

    Support is provided by the Mago team via email at hello@mago.studio  . Response time is within one business day, Monday to Friday, 9:00 to 18:00 CET. Documentation, tutorials, and setup guides are available in the Mago Knowledge Center. Studio and enterprise customers receive onboarding assistance and a dedicated point of contact.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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