An AI film studio
on every laptop

Mago transforms footage into any style while keeping the motion, timing and performance of the original. You bring a playblast, a previs or a live-action plate, and it comes back restyled rather than regenerated. Mago also generates: create new shot from a single frame or reference image, or from an idea or script (see "generation" to learn more).

Not any more. Long form mode takes an idea or a script all the way to a finished cut, with consistent characters, locations and props, plus dialogue, sound and music from the same render. It's in alpha, so create a new project and choose Full AI drama production.

Yes. Most tools treat every prompt as a fresh start, so faces drift and rooms change shape between shots. Mago casts every character, place and prop once, you approve them, and every shot renders with that cast attached. The same look holds from the first shot to the four hundredth.

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.

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.

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.

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.

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.

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.