Particular Audience builds the retail operating system. One decisioning layer that ranks search, recommendations, merchandising, pricing and sponsored placements together — so organic relevance and retail media revenue grow together instead of fighting for the same shopper.

Founded in Sydney in 2019; teams in London, Sydney and Vancouver. Founder & CEO: James Taylor.

Platform pillars: Discovery — Adaptive transformer search, recommendations, bundles and visual search. Retail Media — Sponsored products, listings, rich media, shoppable video and Promotion Hub. Price & Promo — Price Affirmation, Price Beat and Trade Media. Operating Systems — DiscoveryOS runs the experience. RevenueOS runs the business. Agentic & MCP — One governed tool layer so AI assistants can act on your store.

One relevance layer: Search, recommendations, merchandising and sponsored placements are ranked by the same models, so paid never fights organic for the same shopper.

Vector AI, not keywords: Transformer embeddings read intent and product imagery, so coverage holds up on long, messy and conversational queries.

Privacy-first by design: Personalisation runs in-session from behaviour and content, without needing logins or a personal profile store.

How we work: Consult — Start from the KPI you own and one surface or category — not a platform migration. Implement — A fully managed, white-glove rollout by the team that has launched networks before. Measure — Incrementality tests with holdouts, benchmarked against your incumbent before anything ships. Expand — Add surfaces on the same index and event stream, so nothing is rebuilt later.

Highlights & Recognition: The Wires 2026 — shortlisted, Best Commerce Media Campaign (ExchangeWire), 2026; James Taylor — top 15, Ad Tech Personality of the Year 2026 (The Wires, peer-nominated), 2026; IAB Slovenia Trendi '26 — Intersport case: How Brands Launch and Grow with Retail Media (James McNulty (Particular Audience) with Gabriel R. Moser (Intersport Austria)), 2026; NRF Innovators Showcase (NRF 2025: Retail's Big Show), 2025; Nasdaq & The Leading 100, 2024; Awin Power 100, 2024; L'Oréal Beauty Tech Atelier (HEC Paris & Station F); AWS FasTrack Academy ISV; Mayor of London — Grow London; Investment NSW AI Representative; Microsoft Retail Innovation Club; Microsoft for Startups, 2019; Best of Year One Finalist (Launch Festival), 2018; AI / Machine Learning Innovation of the Year Finalist (AIIA iAwards), 2018; Startup of the Year Finalist (AIIA iAwards), 2018.

What does Particular Audience do? We run the decisioning layer for retail: one system that decides what each shopper sees across search, recommendations, merchandising, pricing and sponsored placements, operated through DiscoveryOS and RevenueOS.

How is that different from a search or recommendations vendor? Point tools rank each surface separately. Our modules share one relevance model and one auction, so a sponsored product still has to earn the impression on relevance.

Do we have to replace our whole stack? No. Retailers start with one component and add surfaces as results land.

How do you prove value? Incrementality A/B tests with holdout groups, plus engagement, attribution and long-tail coverage reporting, benchmarked against the incumbent.

Where are you based? Particular Audience is global, with teams in London, Sydney and Vancouver serving EMEA, APAC and the Americas.

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