Description
Treza is a comprehensive platform designed to streamline the creation of AI-driven video, image, and audio pipelines. It allows users to describe their desired output, and Treza assembles the necessary pipeline using models like Veo, Seedance, and Gemini Image. The platform supports a variety of open models, enabling users to customize their workflows without being locked into a single provider.
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The platform features a node editor for generative media, allowing users to build and run AI pipelines on a schedule or behind an API. Users can generate video, images, and text, with each generator acting as a node on a canvas. This setup allows for the integration of multiple modalities in a single pipeline, driven by one prompt.
Treza offers a unique approach by allowing users to describe their desired output in plain language, either through the Treza chat or by connecting with Claude over MCP. The platform then drafts the pipeline, selecting models, wiring nodes, and setting schedules automatically. Users can run the pipeline as is or tweak any node on the canvas.
The platform is designed to be model-agnostic, allowing users to swap models per node and bring their own provider keys. This flexibility ensures that users are never tied to one vendor or price. Treza also provides detailed run logs, including per-node timing and success rates, enabling users to track and optimize their workflows.
Pricing is based on prepaid credits, with no subscription required. Users purchase credits starting at $5, which are used as they run models. Only successful runs are charged, and credits never expire. An enterprise plan is available, offering private deployment, SSO, postpaid invoicing, and custom contracts for studios, agencies, and brands.
- CategoryAI App Builders
- Pricing ModelPrepaid
- DeploymentCloud
- PlatformsWeb
Treza's Core Features
Node editor for generative media
Supports video, image, and text generation
Model-agnostic with swap capability
Prepaid credits with no subscription
Detailed run logs and versioning
Enterprise plan with custom deployment
OpenAI-compatible API endpoints
Integration with Claude over MCP
How to use Treza?
Describe: Specify what to publish
Assemble: Treza builds the pipeline
Run: Execute on schedule or API
Optimize: Tweak nodes as needed
Treza's Use Cases
- Video Production
- Image Generation
- Text Generation
- Enterprise Deployment
- API Integration






