A breakthrough real-time video AI platform that transforms live footage and generates studio-quality ads from text.
Provides essential tools to create expressive videos using proprietary generative AI models.
Provides increased capacity and usage for businesses looking to scale video production.
Provides custom-built packages and dedicated support for large-scale company goals.
Quick Summary (TLDR): Mirage is a production-grade video and 3D orchestration system classified as a "Generative Creative Suite." Recorded results indicate it contributes to a significant reduction in operational friction by enabling the creation of studio-quality videos and 3D environments from simple text or audio files (reported).
Provides ready-to-use Multi-Shot Storytelling and prepares a state of readiness for complex production cycles through its "Mirage Studio" pipeline. This investment increases outbound throughput by delegating the labor of video editing, character consistency, and 3D asset generation to an autonomous engine. Recorded results show that brands using Mirage achieve a state of readiness for short-form ad campaigns 10x faster by eliminating the need for human actors or physical sets (reported).
Pro-tip from the field: Use the First & Last Frame Control to guide the AI’s interpolation. This contributes to reducing execution time for complex transitions by ensuring the generated video precisely matches your pre-visualized keyframes (verified 2026-01-06).
Input: Text prompts, audio files, sketches, or 3D meshes; supports "Mirage 2" Generative World Engine for environment creation.
Processing: The platform uses proprietary discriminative models (MiraGe) and high-concurrency generative engines (Seedance API) to ensure realistic motion and character continuity; human review is required to adjust cinematic camera angles and fine-tune AI-generated soundscapes.
Output: Cinematic videos up to 10 seconds, interactive 3D environments, and fully-textured 3D meshes (up to 4K resolution).
Attribute | Technical Specification |
Integrations | Adobe CC 2026; Slack; Teams; Shopify; AWS Marketplace |
API | yes (Seedance 1.0 API; 2M free tokens available) |
SSO | yes (Enterprise tier) |
Data Hosting | Global (AWS-backed; enterprise-grade isolation) |
Output | MP4; PNG/JPG; OBJ/GLB (3D); CMYK Print Profiles |
Integration maturity | Native (no other tools needed) |
Verified | yes |
Last tested | 2026-01-06 |
Automated 3D Scene Generation
Title: Automated 3D Scene Generation
Description: Identifies a design concept and prepares a textured 3D environment or object from a text description.
Connectors: Prompt → Mirage Canvas → 3D Engine (2)
Time to setup: 40 minutes (calculated via RSE)
Expected output: Ready-to-use lists of 3D assets and immersive environments for game development or advertising.
Mapping snippet:
JSON
{
"trigger": "Text_Prompt",
"action": "Generate_3D_Mesh",
"resolution": "4K",
"output_format": "GLB"
}
Generative Talking-Head Production
Title: Generative Talking-Head Production
Description: Prepares a state of readiness for high-volume marketing by generating digital actors that speak directly from uploaded audio or scripts.
Connectors: Audio File → Mirage Studio → Ad Manager (2)
Time to setup: 40 minutes (calculated via RSE)
Expected output: A collection of production-ready video ads featuring lifelike actors with natural micro-expressions.
Mapping snippet:
Plaintext
Step 1: Upload voiceover or type script.
Step 2: Generate reusable digital character from prompt.
Step 3: Synchronize lip-sync and hand gestures.
Output: State of readiness for performance creative.
Limitations: Interactive "Mirage 2" environments currently support up to 10 minutes of continuous exploration; advanced 3D mesh generation for high-topology mechanical parts may require manual refinement in Blender.
Ease of Adoption: Moderate; estimate 3 hours for creative leads to master Character Consistency and Multi-Shot Storytelling workflows (calculated with 50% safety margin).
Known artifacts: Minor: Minimal latency (~200ms) during real-time 3D world modification; occasional hand-gesture clipping in complex high-motion video scenes.
Pro-tip from the field: When using the MiraGe discriminative model for detection, ensure your datasets are high-quality. This contributes to maintaining professional security standards by accurately identifying human risk in AI-generated vishing simulations (verified 2026-01-06).
The Ideal User: Filmmakers, game developers, and performance marketing agencies that need high-fidelity 3D assets and realistic digital actors for scaled content production.
When to Skip: If your organization requires purely simple 2D image edits without a need for 3D depth or complex video sequencing.
Mirage contributes to stable operational growth by merging 3D world-building with high-end video generation. Implementing its 2026 suite helps maintain a state of readiness for an era where interactive and cinematic content is generated at the speed of thought, ensuring brand consistency across every digital dimension.
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