AI character generator and consistent image creator for products and models
Enterprise video AI powered by multimodal intelligence for semantic search, analysis, and understanding
Stage
Not given
Established
Founded
Not given
2021
Based in
AU
US
Pricing model
Freemium
Freemium
Pricing
Creator: US$12.5/mo or $150.00 billed annually with 300 credits/month; Pro: US$22.5/mo or $270.00 billed annually with 600 credits/month. Free account available with credit-based generation.
Free plan: $0/month with 3 GB storage and 600 minutes of video indexing. Plus plan: $29/month with 50 GB storage. Pro plan: $99/month with 200 GB storage. Custom plans available. Annual billing offers 17% discount.
Key features
AI Image Generator for text-to-image creation
AI Clothes Changer to modify garments in images
Background Editor for scene changes
Image to Video conversion
AI Background Remover
AI Object Remover for content editing
HD image upscales up to 200 images on Pro plan
Commercial license included in both plans
No watermark on generated images
Access to multiple AI models including GPT Image 2.5 Flare and Flux Kontext Pro
Semantic video search across entire libraries using natural language
Automatic content segmentation with scene change detection
Compliance and policy risk identification at scale
Automated highlight generation from video libraries
Video insight analysis and pattern detection
Fast indexing at ~60x real-time speed
API and SDK with multiple language support
Jockey AI agent for video search in Claude and ChatGPT
SOC 2 Type II certification and encrypted data handling
What makes it different
Reuse the same character across different outfits, poses, and scenes
Support for product, fashion, home decor, and jewelry use cases with specialized templates
Character consistency guide for maintaining visual coherence
Refine images iteratively by describing desired changes
Save projects and continue creating from your reference
Video-native foundation models trained specifically for video understanding
Processes vision, audio, speech, and on-screen text together in one index
Reasons across full temporal sequences up to two hours, not just frame sampling
Spatiotemporal embeddings make every video moment findable by actual content, not metadata