About GENERAITR

To transform generative AI from a game of chance into a professional production tool, control cannot be fragmented. GENERAITR unifies process, data, and cost under a single operational standard:

• Process Control: Traditional node-based setups introduce parameter chaos. Through a conversational AI assistant, complex parameters are configured automatically based on creative intent. Curated greyboxing references lock camera moves and geometric boundaries, allowing production pipelines to be converted into reusable GENERAITR Templates that anyone on the team can execute without complex technical setup.
• Data Sovereignty by Design: Select your preferred deployment setup upon subscription, whether fully cloud-hosted (Online) or locally deployed (Local). Regardless of your setup, you control data residency on a prompt-by-prompt basis: generate with open-source models hosted within EU data centers (100% EU data residency, immune to the US CLOUD Act), or utilize closed-source API models via transparent gateways when extra power is required.
• Local Integration & Cost Predictability: Eliminate unpredictable third-party API spikes. Tiered subscription plans align with internal IT policies and budget boundaries. Local users have the option to connect their own ComfyUI environment and hardware for autonomous local operation, functioning completely independently from platform credits.

Control restricted to a single power-user is a bottleneck. True production control extends across the entire team, keeping creators, directors, and external reviewers aligned inside one structured Media Library:

• Centralized Media Library & Organization: Organize all generated visual assets into dedicated Projects and Albums. Manage your production library effortlessly with favoriting and archiving capabilities.
• Deep Metadata Sorting & Filtering: Instantly filter and locate exact renders by criteria such as AI model, resolution, and aspect ratio, eliminating lost files and manual searching.
• Shared In-Context Commenting: Collaborate directly within the edit view. Every team member in the project can leave and view comments on individual media files, keeping feedback and creative decisions tied directly to the asset.
• Granular Multi-User & Client Access: Invite teammates or external reviewers into specific project spaces with defined permission levels, eliminating whole-account sharing and fragmented email threads.
• Project-Linked Albums: Every asset resides within structured project albums rather than orphaned folders, ensuring every approved output remains traceable to its underlying prompt and generation context.

Without verifiable proof, control is just a promise. Compliance forms the baseline that validates both your technical control and collaborative approvals for auditors, legal teams, and enterprise clients:

• Certified C2PA Metadata: Every model output is cryptographically signed with a certified C2PA certificate, attaching immutable provenance data and lineage directly to exported assets.
• Automated EU Official AI Labeling: Built-in compliance tools automatically apply the EU’s official AI markings: both “AI Generated” and “AI Modified” labels, across four standardized design variations to fit any aesthetic requirement.
• EU AI Act Article 50-Ready: Fully compliant ahead of statutory enforcement deadlines, ensuring your organization effortlessly meets EU transparency obligations without manual post-processing.
• Complete Audit Trail & Trace Graph: Every render, prompt variation, and parameter adjustment is logged in a searchable trace graph, providing an unalterable history of visual asset lineage.
• GDPR & Global Regulatory Architecture: Includes native support for automated data export and deletion on request. Built on a universal documentation framework that adapts to evolving international AI governance standards across markets.