Our Visual Analytics Engine is designed for research, strategy, and insights teams that need to extract meaning from visual data at scale. It delivers structured outputs from raw images and video, ready for integration into existing projects, tools and decision workflows.
Our modular system allows you to select the specific capabilities you need for your analysis:
Detects packaged goods in images and reads packaging text to identify brand, product type, descriptions and claims using advanced OCR technology. Matches detected products to SKU-level catalogs with industry-leading accuracy.
Detects soft goods in images and fully attributes to identify colors, prints, styles, finishes, product types and more.
Key capabilities: Color extraction, brand recognition, visual attribution, ingredient analysis, SKU matching. Powered by object detection that scans for products ranging from apparel to beauty items to food to packaging.
Extracts structured product and environmental attributes to understand usage context from kitchens, bathrooms, backyards and other environments. Captures visual elements to derive higher-order meaning about consumer lifestyles.
Key capabilities: Object attribution (color, material, style), scene classification, aesthetic analysis, contextual understanding. Translates visual elements into usage patterns and preference indicators.
Identifies products, objects, and usage context while extracting audio to uncover routines, behaviors, and real-world usage patterns across video formats including reviews, unboxings, and tutorials.
Key capabilities: Video type classification, environmental cue detection, product sequence tracking, demographic analysis, and audio transcription with LLM-powered summarization.
Tracks product facings and shelf conditions with SKU-level matching for retail intelligence, planogram compliance, and market share analysis.
Key capabilities: Automated product sequencing, flavor-specific SKU matching, share-of-shelf calculations, and data quality SLAs with confidence metrics for guaranteed accuracy.
See how customers use products in real life, so decisions start with context, not assumptions.
Know what your customers will want next so you can act, not react.
Ditch the guesswork. Get continuous insight into shifting behaviors, interests, and needs.