Custom Solutions for Studios
Unlock the full potential of Mago with a bespoke plan tailored to your organization's volume and technical requirements.
- Credit mode
- 5 simultaneous video renders
- Unlimited simultaneous image renders
- 2000 frames in a single run
- 500 monthly credits
- Relaxed mode
- 1 simultaneous video render
- 1 simultaneous image render
- 100 frames in a single run
- Credit mode
- 5 simultaneous video renders
- Unlimited simultaneous image renders
- 2000 frames in a single run
- 15 000 monthly credits
- Relaxed mode
- 2 simultaneous video render
- 2 simultaneous image render
- 200 frames in a single run
- Credit mode
- 5 simultaneous video renders
- Unlimited simultaneous image renders
- 2000 frames in a single run
- Custom Infrastructure
- Dedicated private support
- Custom monthly credits
- Custom Relaxed mode
- Custom simultaneous video render
- Custom simultaneous image render
- Custom number of frames in a single run
- Credit mode
- Custom simultaneous video renders
- Unlimited simultaneous image renders
- Custom number of frames in a single run
Mago Enterprise
- Build your production-ready AI rendering pipeline
- White-glove implementation & dedicated support
- Maintain visual consistency and creative ownership across shows, sequences
- Production Workflow Acceleration
- Custom features implementation: masking, controlnets, etc...Custom models for style/character consistencyTeam workspaceMeeting technical requirements: 16-bit EXR export, etc...Render Queue and Project Management
Frequently
Asked Questions
How does Mago integrate into existing pipelines?
Mago is designed to integrate directly into animation and VFX toolchains. Our engineering team collaborates with your pipeline TDs to ensure compatibility with your file formats, render workflows, and internal infrastructure. API access and technical documentation are provided to support seamless deployment.
Do you offer on-prem or private cloud deployments?
Yes. We support both private cloud and on-premise deployments to meet studio-level security, compliance, and data residency requirements. Deployment architecture is defined during the technical evaluation phase to align with your infrastructure standards.
What does custom model training include?
We fine-tune lightweight models (LoRAs) using your visual references and production material. This ensures character consistency across shots, style and lighting alignment, and cohesive output across sequences or episodes. All models are trained specifically for your production needs.
How do you handle confidentiality and IP protection?
We sign NDAs prior to reviewing any material. All assets are processed within secure, isolated infrastructure environments. We do not train foundation models on your content. You retain full ownership of your inputs and outputs.
Do you offer on-prem or private cloud deployments?
Yes. We support both private cloud and on-premise deployments to meet studio-level security, compliance, and data residency requirements. Deployment architecture is defined during the technical evaluation phase to align with your infrastructure standards.
What does a typical pilot engagement look like?
A structured 4–6 week engagement with defined scope and measurable success criteria. Evaluation typically includes: Visual quality benchmarks, Shot consistency, Turnaround time reduction, Cost comparison versus existing workflows. The objective is to validate production readiness within a real use case.
How is Mago priced for enterprise?
Pricing is volume-based and aligned with production scope. Enterprise engagements are structured based on: Shot volume, Deployment model, Custom model training requirements, Infrastructure configuration. Transparent cost breakdowns are provided during the evaluation process.
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