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
Starter plan at €20/month (billed annually) with 400 credits per seat, Plus at €36/month with 2,000 credits per seat (40% off annual), Max at €75/month with 5,000 credits per seat (50% off annual). Credits are used for video generation and generative models. Additional credit packs available.
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
Editing agent with memory of all clips
Batch editing multiple shots simultaneously
Real-time multiplayer collaboration
Script writing and storyboarding
Custom agent creation
Professional tools including color, audio, and 3D
Access to Seedance video generation models
Bring your own AI agents
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
Autonomous agents handle repetitive editing tasks without needing prompt engineering
AI remembers all footage and retrieves clips by description instead of manual scrubbing
Real-time multiplayer editing with live cursors for team collaboration
Integrates custom or external AI agents directly into the editing timeline
Full multitrack timeline editing with AI assistance across all plans
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
TwelveLabs