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
Contact for pricing
Freemium
Pricing
Not given
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
Product Enrichment - converts product images and catalogue data into structured fashion attributes
Smart Search - enables shoppers to express intent in natural language
AI Outfitting - recommends complementary pieces from a retailer's catalogue
Shop Similar - identifies relevant alternative products
Shop the Look - discovers catalogue pieces shown in styled images
Find My Size - personal sizing solution
Fashion taxonomy - controlled vocabulary for product attributes
Approximately 100 fashion attributes covering shape, fit, construction, colour, style and occasion
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
Combines fashion expertise with advanced multimodal AI models and product-relationship data reviewed by stylists
Works with real retail systems including inventory constraints, business rules and measurable outcomes
Trusted by leading fashion brands including Nautica, Timberland, ALDO, DKNY, JD Sports and GUESS
Demonstrates measurable results including quadrupled conversion rates and reduced return rates
Provides Google Merchant Center feed serving as product-information source for OpenAI, Claude and Grok
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
Selectika
TwelveLabs