AI video generator for text, image, audio and video inputs
Enterprise video AI powered by multimodal intelligence for semantic search, analysis, and understanding
Stage
Not given
Established
Founded
Not given
2021
Based in
Not given
US
Pricing model
Not given
Freemium
Pricing
Trial Pack: $6.90 for 200 credits; Starter Pack: $19.90 for 600 credits; Creator Pack: $49.90 for 1,800 credits; Pro Pack: $99.90 for 3,800 credits; Studio Pack: $199.90 for 8,000 credits. All credits never expire. Limited-time annual plans available with up to 54% savings.
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
Storyboard-to-video workflows with multi-panel conversion
Reference-guided consistency across multiple clips
Audio-visual synchronization
Up to 1080p resolution output
Up to 15-second video duration
Version comparison and side-by-side review
Rapid iteration and scene revision
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
Unified multimodal workspace combining text, image, audio, and video inputs without switching tools
Reference-guided motion and structural prompts ensuring intentional camera movement without continuity breaks
Audio-aligned output preserving rhythm and timing without separate post-production tools
Rapid iteration with version comparison for faster creative approval
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