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
Paid
Freemium
Pricing
Free account with pay-per-use model. Pricing varies by model and task. Example rates: Seedance 2.5 text-to-video at $0.12/s (480p) to $0.675/s (1080p); Gemini Omni 1.1 Flash at $0.03/s (360p) to $0.30/s (4K); Grok Imagine Video 1.5 at $0.0225/s; Suno music generation at $0.06 per task; FLUX.2 Pro im
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
Image generation model playground
Video generation model playground
Audio generation model playground
API request previews
Async task status polling
Unified API across multiple generation models
Usage-based model billing
Model-level cost tracking
Supports 36 generation models
Image editing capabilities
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
Single API request works across different generation models
Test models in playground with same API fields before production
One balance covers usage across all supported models
Compare output quality and cost before choosing a model
Long-running jobs run asynchronously with task ID polling
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