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On this pageThe workEvaluationProposal

Solutions/Engineering and product/E-commerce catalogues

Your catalogue pipeline, tested on your own listings.

Attribute extraction, product descriptions and photo clean-up on right-sized models, tested on listings you already published before you switch.

Arrange a workload evaluationSee how an evaluation works

Prefer email? hello@azitalabs.com, subject “Workload evaluation: E-commerce catalogues”

Every new listing needs the same checks.

You run pipelines to extract attributes, write product descriptions and clean up product photos for every new listing, to each marketplace's rules. A simple extraction step runs on a frontier model on every request. The catalogue keeps growing, and rate limits and deprecations arrive on someone else's schedule, so your engineering roadmap absorbs them.

What you bring
A batch of published listings: supplier data, product photos and the approved descriptions.
What comes back
Extracted attributes, product descriptions and cleaned photos, checked against your catalogue rules.

What an evaluation could look like.

An example workflow

A direct-to-consumer brand

New collections need descriptions and attributes in the brand's voice for every marketplace. An evaluation could take one published collection, produce the listings, and let the catalogue lead compare them and the total cost.

An example workflow

A marketplace

Sellers upload inconsistent data that must be normalised before listing. An evaluation could run a labelled batch through right-sized models and compare attribute accuracy, latency and total cost.

An example workflow

A catalogue agency

Product photos need backgrounds removed and colours corrected for each client. An evaluation could take one delivered batch, run the clean-up, and set the client's approval checks next to the total cost.

Macro of a printed node-graph pipeline diagram on a dark desk in warm lamplight

Your evals decide.

Your evals are the bar

Every step is judged against your catalogue checks. A step that does not pass stays where it is.

Held to marketplace rules

Attributes and descriptions are checked against each marketplace's rules and your brand's voice before any listing goes live.

Quality and total cost, compared

Extraction, writing and photo steps compared as one job, next to what you pay today, before you switch.

Where it runs, and what is agreed.

Capacity from the Azita fleet

Run your workload on capacity from Azita’s installations. Scope the workload and data requirements.

Discuss your workload on the fleet →

An installation in your building

Scope the room and workload together. Azita designs, installs and commissions the deployment.

Discuss an installation in your building →

Where the work runs, which models are used, who has access and how long anything is kept are agreed in your proposal before any work starts. The Trust page sets out custody and residency by side.

Compare quality and total cost on your own workload.

Agree a representative job and the acceptance criteria. Compare the output, turnaround, data requirements and total cost before deciding.

  1. Share one workflowOne catalogue pipeline in production, with its eval set and last month's usage.
  2. Agree the pass criteriaYour catalogue rules, marketplace requirements and the brand's voice.
  3. Compare on both stacksPass rates, latency, data requirements and total cost, side by side. Cut over step by step, or not at all.

Available to evaluate on your own workload.

On the Azita fleet, or on an installation in your building.

Arrange a workload evaluation

We'll review what you need to run and contact you to discuss the right setup.

Proposal based on your workload and deployment.

There is no price list. Your proposal states what is being quoted, the commitment and what is included. Human review, software licences and integration are listed wherever they apply.

Add what you pay for today. It travels with your enquiry as a note, so the comparison starts from the same work.

Opens the spend table on the pricing page. Your note travels with your enquiry, never in the page address.

Prefer to read first? How pricing works →

Straight answers.

Will our evals still pass?+

Your eval suite decides. We map each step to the smallest model that meets your pass criteria and run the suite on both stacks side by side. A step that does not pass stays where it is.

How does an evaluation work?+

Send one catalogue pipeline with its eval set and last month's usage. We agree the pass criteria, run the suite on both stacks, and set out pass rates, latency and total cost for each step.

What changes in our workflow?+

Your evals run in CI, and you cut over step by step behind your own flags. Any step that does not pass on the new stack stays with your current provider.

Where does our catalogue data go?+

On the Azita fleet, or on an installation in your own building. Where your catalogue data is processed, who has access and how long anything is kept are agreed in your proposal before any work starts.

How is it priced?+

Proposal based on your workload and deployment. It states what is being quoted, the commitment and what is included, and lists human review, software licences and integration wherever they apply. There is no price list.

What are the contract terms?+

Term, what is included, exit and data handling at the end are set out in your agreement before you sign.

Related

Engineering and product

Agents, support, extraction and product features, tested on your own evals.

The page for every kind of work in this group, and how an evaluation works.

Read →

Also for

Fashion & lookbooks

On-model images, virtual try-ons and campaign visuals, evaluated on a collection you already shot. Compare garment fidelity and total cost first.

Read →

Also for

Translation & localisation

Translation steps on right-sized models, tested on your own evals for each language pair. Compare quality, latency and total cost first.

Read →

Start with your own workload.

Share one pipeline

A production workflow and its eval set. We agree the pass criteria, then compare output, latency and total cost on the same input.

Arrange a workload evaluation

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