about us - The team behind Australia’s first agentic commerce consultancy

Embeddings was founded on a single conviction: the retailers who win in agentic commerce will be the ones with the best product data. We’re the only Australian consultancy that combines LLM pipeline engineering with data infrastructure at scale — purpose-built for catalog readiness.

We don’t hand you a strategy deck and wish you luck. We audit, enrich, and operationalise your catalog so AI agents from Google and OpenAI recommend your products first.

Embeddings was founded by engineers who spent years building large language model pipelines and enterprise data systems. When agentic shopping emerged — AI agents autonomously researching and purchasing on behalf of consumers — we saw the critical gap: retailers had decades of product data locked in formats that AI agents couldn’t parse. Rich product knowledge trapped in PDFs, spreadsheets, and legacy ERPs. We built Embeddings to solve that problem.

Our approach is engineering-led and outcome-driven. We measure success in catalog completeness scores, enrichment coverage, and freshness latency — not slide counts. Every engagement begins with a quantitative audit and ends with a catalog that’s ready for Google’s Universal Commerce Protocol, OpenAI’s Instant Checkout, and whatever comes next.

YoY growth in AI-driven e-commerce: 758%
Projected agentic commerce by 2030: $3–5T
Of retail execs say AI will weaken brand loyalty: 81%

our approach - Built for catalogs, not generic AI consulting

Most AI consultancies offer broad capability across dozens of use cases. We chose a different path — deep, vertical expertise in the one problem that determines whether retailers survive the agentic shift: catalog data quality.

01LLM Pipeline Engineering.
We build and operate large language model pipelines that enrich product catalogs at scale — generating descriptions, categories, and attributes from raw product data and images. Thousands of SKUs processed in hours.
02Data Infrastructure.
We integrate directly with your ERP, PIM, and inventory systems to keep catalog data fresh and accurate. Real-time stock, pricing, and product status — because AI agents penalise stale data.
03Retail Domain Expertise.
We understand Google Merchant Centre specifications, GTIN standards, product taxonomy, and the emerging requirements of Google’s Universal Commerce Protocol and OpenAI’s Instant Checkout.

Be the brand AI agents recommend first

The retailers preparing their catalogues today are building advantages that compound tomorrow.