Catalogue content at pipeline speed, in every language you sell in.

The pipeline at a glance

1. Ingest — connectors for marketplace exports, PIM and API feeds, normalized to one product schema.
2. Extract — structured attributes pulled from messy source copy, specs and images.
3. Generate — missing attributes and copy filled from structure, per category.
4. Localise — each language generated from the structured product, not translated from English.
5. Route — high-confidence output auto-passes; only flagged items reach a reviewer.
6. Measure — cost per product, throughput, turnaround and listing quality on one dashboard.

The full story, including why each attribute does four jobs — search filtering, SEO, customer decision and AI discovery — is in our marketplace content intelligence case study.

For language service providers

Your translation memory and your linguists are the moat. The risk isn't quality — it's that competitors undercut on cost per SKU and turnaround by moving human effort from drafting to exception handling.

• Your translation memory first. Existing segments are matched and reused before anything is generated.
• Arabic as a first-class language. Right-to-left formatting, GCC and Levant terminology, and glossary enforcement built into QA.
• Editors on exception. Your post-editors review the flagged minority instead of every segment — same team, multiples of the volume.
• Publish back by API to the marketplace or PIM, with cost per SKU and turnaround measured from day one.

For content agencies

Your clients are asking for more catalogue, in more languages, findable by more channels — including the AI assistants that now recommend products. This pipeline is a capability you can offer under your own name.

• A new line of business: attribute enrichment and AI-discoverability as a service, not just copywriting.
• Margin that scales with compute, not with writer headcount.
• Your team stays the voice of the brand — they set tone and rules, and review what the system flags.

Start with a proof sprint

Pick one catalogue. We stand up a working pipeline on your data, agree success metrics up front — auto-pass rate, cost per SKU, turnaround and a human-validated quality score — and report real numbers. If they don't beat your current process, you keep the report and owe nothing further.

Talk to us about a proof sprint →