Enterprise video AI powered by multimodal intelligence for semantic search, analysis, and understanding
Stage
Not given
Established
Founded
Not given
2021
Based in
GB
US
Pricing model
Freemium
Freemium
Pricing
Basic £19 per month, Pro £39 per month, Team £239 per month, Enterprise custom. Founding users receive 10% lifetime discount.
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
Industry and trend monitoring across news, social platforms and publications
Competitor monitoring with real-time alerts
Signal scoring against brand pillars
On-brand content drafts for social, newsletters and campaigns
Morning briefing via email, Slack and AI assistants
Multiple brand management with separate voice profiles
Integration with Claude, ChatGPT, Cursor and Copilot via MCP
Newsjacking with real-time trend alerts
Integration with Slack, email, Google Drive and Microsoft 365
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
Moves from signal discovery to ready-to-publish content in one integrated workflow
AI agent that operates independently rather than requiring manual briefing each time
Maintains separate voice profiles for each brand to ensure authenticity
Works inside existing AI tools via MCP instead of requiring a new dashboard
Designed for lean teams to operate efficiently without large dedicated monitoring roles
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