AI creative infrastructure for ad teams to research, generate and edit video ads at scale
High-fidelity photorealistic AI image generation with natural prompting
Stage
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Founded
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Based in
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Pricing model
Paid
Open source
Pricing
Starter $99/month with 2,000 credits; Pro $199/month with 4,500 credits; Max $400/month with 10,000 credits; Custom pricing for Enterprise. Annual billing saves 11-12%.
Free and open source
Key features
Meta Ad Library and TikTok competitor research
AI image generation with GPT Image 2, Nano Banana 2.1, Seedream, Flux 3
AI video generation with Seedance, Kling, Google Omni Flash, Veo, Flux 3
RIZZ: audio-guided talking-head model with real emotions
Flows visual canvas for pipeline automation and bulk production
Video editing and caption tools
MCP integration with Claude, ChatGPT and other agents
Public API and custom workflows
Google Drive and project management tool integrations
High-fidelity skin and eye rendering with fine pores and light reflections
Robust composition coherence for multi-subject scenes and action shots
Baked-in VAE with optimized color tuning
Simple natural language prompting without complex templates
Compatible with ComfyUI, Automatic1111, and Forge
Works with popular SDXL ControlNets and IP-Adapters
Thousands of compatible LoRAs available
Optimized CFG sensitivity for high quality at lower scales
Natural light scattering and structural accuracy
Experimental Catalyst branch for continuous model evolution
What makes it different
All-in-one platform: research, generation, editing and launch in one workspace
RIZZ model creates UGC with authentic human emotions
Proven cost reduction: customers report 10x production cost savings
Scale ad volume: produce more winners on identical budget
Accessible from any AI agent via MCP, no context switching required
Minimal prompting complexity with natural language descriptions instead of complex embeddings
Eliminates artificial AI textures and generic rendering artifacts
Open-source with commercial use permissions
Seamless integration into existing AI image generation workflows
Continuously refined through community feedback and experimental development
CyberRealistic XL