By architecture, not bolted on.
The model continuously ingests, scores, and re-weights every signal across modalities. There is no nightly batch — the index is the product.
Quarterly trend reports arrive after the wave has crested. Social listening surfaces noise without category context. Menu databases lag publication by a season.
By the time a flavor enters a report, your competitors have already sourced the ingredient, briefed their agency, and shipped the SKU.
How the TasteRadar F&B Intelligence platform is engineered, end to end.
The model continuously ingests, scores, and re-weights every signal across modalities. There is no nightly batch — the index is the product.
Social video, menus, reviews, visual content, and cultural context — combined into a single indexed surface where intersections become evidence.
Every emergent flavor on the platform traces back to the underlying clip, menu listing, or review that produced it — auditable at the source.
Built for local language models, cultural-context scoring, and channel-aware velocity per market. Rich indexing for APAC and MENA. With actual in-market signals.
Each bubble is sized by indexed signal volume and placed by velocity and maturity. Hover to inspect; click to drill into the underlying clips, menu listings, and reviews.
Three surfaces, one signal. Mapping, monitoring, and reporting — each traceable to the underlying data that produced it.
Visualize what is emerging, established, and fading across modalities. Filter by region, channel, and consumer segment.
A live feed of the flavors, formats, and occasions moving in your category, refreshed every twelve seconds.
Every insight ships with its underlying source — clip, menu listing, review, image — so it stands up in a board room.
Japanese, Vietnamese, and Thai language models — alongside Arabic, Mandarin, and Korean — with channel-aware velocity and cultural-context scoring tuned for Asia-Pacific and the Middle East & North Africa. The signal you see is the signal that actually exists in-market.