Enrichment that runs inside your stack.Not beside it.
Your catalog capacity shouldn't depend on how many people you hire.
The bottleneck isn’t the work.It’s the ceiling.
Enrichment feels like a workload problem, so it gets solved like one: more people, more contractors, more overtime before a launch. It works, briefly. Then another supplier signs, another marketplace opens, and the backlog is back.
The real problem is structural.Your catalog throughput is capped by headcount, and headcount doesn’t scale the way your supplier list does.
Suppliers will never standardize
Every new supplier brings a new format, a new taxonomy, and its own idea of what a complete product record looks like. You absorb the difference. Every time.
Channels will never agree
Each marketplace wants its own template, its own category tree, its own image rules. Adding a channel means redoing work you've already done.
Backlogs compound
Products waiting for enrichment aren't just delayed. They're inventory you've paid for, sitting in a warehouse, generating nothing.
Data comes in. Enriched data goes back.Nobody uploads a spreadsheet.
Dyver sits between your sources and your systems of record.On Enterprise, we build both ends for you.
Data preparation and conversion
Your data rarely arrives ready to enrich. We build the pre- and post-processing to pull from multiple sources, convert from any format, and hand it back in exactly the shape your systems expect.
Direct system integration
No manual file transfers. Dyver connects straight to your PIM, ERP or internal systems, so data moves in and out without your team in the middle.
Automated feeds at volume, with monitoring
Thousands of SKUs on a regular cycle. We set up scheduled feed processing, intelligently separating routine price and stock updates from new product data, so you’re not re-enriching a catalog to change a number.
API access
Trigger runs, pull results, and wire enrichment into workflows we haven't thought of.
“At Miinto, we work with hundreds of fashion retailers, many of whom have extensive physical inventory but limited or no digital product data. Dyver enabled us to transform those catalogs into production-ready enriched feeds across multiple stores and markets within weeks.
The results were strong enough that we stopped developing an internal alternative and adopted Dyver as our long-term solution.”
Niccolò Coppo
Director of Partner Operations
Enterprise Customers get all enrichment capabilities plus the parts that only matter at scale.
Custom integrations
Built end-to-end for your stack, by us.
API access
Programmatic control over jobs, catalogs and results.
Conditional workflow logic
Different rules for different categories, suppliers or channels, in one workflow instead of twelve.
Custom search plugins
Deep knowledge of specific brand and manufacturer site structures, so data comes from the source you trust, not the first result.
Custom image tags
Classify images against your own criteria, not a generic list.
Automated and scheduled runs
Enrichment on a cycle. No one presses go.
Price and stock updates
Handled separately from product data, at their own cadence.
Image modification
Background removal, format conversion, cleanup at catalog scale.
Dedicated support team
Named people who know your setup, from onboarding through every run.
Every value has a source.You can see all of them.
At enterprise scale, the question is never “can AI write a description?”It’s “when a spec on a B2B product page is wrong, how fast can you find out where it came from?”
Dyver records the answer by default.
Step-by-step execution record
Every enrichment run is broken into discrete steps: find, extract, analyze, write, map. You can inspect the result of each step independently, not just the final output. When something’s off, you can see which step introduced it.
Source attribution for text and images
Every retrieved value carries where it came from: which supplier page, which manufacturer site, which document, which image. No unexplained facts in your catalog.
Manual change tracking
When someone on your team edits a product in the catalog, that change is recorded. You can always separate what Dyver produced from what a person adjusted afterwards.
Human review before anything publishes
Enrichment output lands in a review interface where your merchandising team compares, adjusts and approves. Automation handles the volume. Your team keeps the final say.
Predictable budgets.Not a meter running in the background.
Annual commitment
You commit to a volume for the year and draw down against it.
Volume-based rates
The more you enrich, the lower your effective cost per SKU.
Approval-gated overages
You cannot accidentally exceed your commitment. Nothing runs past it without a person saying yes.
Usage dashboard
Real-time visibility into what's been consumed and what's left, so finance is never surprised.
Enterprise pricing is built around your catalog, your volume and the integrations you need.
How long does this actually take?
What does our engineering team have to build?
We scope it before you commit, and we build the integration end-to-end.
Discovery
We map your sources, your systems, your channel requirements and your quality standards. You get a scoped plan, not a proposal full of adjectives.
Workflow design on your data
Not a demo catalog. Yours. We build the enrichment workflows against your actual supplier feeds and your actual output format.
Integration build
We connect Dyver to your PIM, ERP or feed infrastructure end-to-end. Your engineering team reviews; they don't build.
Pilot on a real category
One live category, running for real, with your merchandising team reviewing output. This is where you decide whether it works.
Production rollout
Scale to the full catalog, with scheduled runs and monitoring in place.
Ongoing
A dedicated team that knows your setup, on every run. New supplier, new channel, new market: you tell us, we handle the workflow.
Integrations: weeks, not quarters.And you’ll know why before you commit.
Running a marketplace? Enrichment works from both ends there: self-service for your sellers, integrated enrichment for your own team. For marketplaces · Marketplace Supplier Portal
Enterprise catalogs, in production.
To Production in Weeks
Physical inventory to digital catalogs
From offline to online
At Miinto, we work with hundreds of fashion retailers, many of whom have extensive physical inventory but limited or no digital product data. Helping these partners sell online at scale is a major operational challenge.
Dyver enabled us to transform those catalogs into production-ready enriched feeds across multiple stores and markets within weeks. The results were strong enough that we stopped developing an internal alternative and adopted Dyver as our long-term solution.
Niccolò Coppo
Director of Partner Operations · Miinto
2x more eMAG orders
Large-scale marketplace growth
3,000+ products listed across 60 categories
When it comes to eMAG, listing products is not straightforward. Each category requires its own template, and preparing thousands of products for publication was an enormous manual effort. Managing product data at scale was slowing down our marketplace growth.
Before Dyver, listing our catalog on eMAG felt out of reach due to the effort required. Dyver helped us enrich and structure over 3,000 products across more than 60 categories, enabling large-scale marketplace onboarding. Since listing these products on eMAG, the number of marketplace orders has doubled.
Daniel Chivu
Managing Director · VivaDeco
6 months → 2 weeks
Localization time cut
Game-changer for international growth
Dyver.AI's automated translation tools helped us cut down a six-month manual process to just two weeks.
This allowed us to focus on expanding internationally, without worrying about the complexities of localization.
Claudia Tudor
Deputy General Manager · F64
6 new stores
Opened with ease
Critical partner for marketplace growth
Dyver.AI has been a critical partner in helping us build a successful marketplace.
By making product listings quicker and more efficient, we have been able to grow faster and manage operations smoothly, welcoming new sellers constantly and opening 6 new stores with ease.
Norbert Kun-Makczi
Executive Director · UsedProducts
To Production in Weeks
Physical inventory to digital catalogs
From offline to online
At Miinto, we work with hundreds of fashion retailers, many of whom have extensive physical inventory but limited or no digital product data. Helping these partners sell online at scale is a major operational challenge.
Dyver enabled us to transform those catalogs into production-ready enriched feeds across multiple stores and markets within weeks. The results were strong enough that we stopped developing an internal alternative and adopted Dyver as our long-term solution.
Niccolò Coppo
Director of Partner Operations · Miinto
2x more eMAG orders
Large-scale marketplace growth
3,000+ products listed across 60 categories
When it comes to eMAG, listing products is not straightforward. Each category requires its own template, and preparing thousands of products for publication was an enormous manual effort. Managing product data at scale was slowing down our marketplace growth.
Before Dyver, listing our catalog on eMAG felt out of reach due to the effort required. Dyver helped us enrich and structure over 3,000 products across more than 60 categories, enabling large-scale marketplace onboarding. Since listing these products on eMAG, the number of marketplace orders has doubled.
Daniel Chivu
Managing Director · VivaDeco
6 months → 2 weeks
Localization time cut
Game-changer for international growth
Dyver.AI's automated translation tools helped us cut down a six-month manual process to just two weeks.
This allowed us to focus on expanding internationally, without worrying about the complexities of localization.
Claudia Tudor
Deputy General Manager · F64
6 new stores
Opened with ease
Critical partner for marketplace growth
Dyver.AI has been a critical partner in helping us build a successful marketplace.
By making product listings quicker and more efficient, we have been able to grow faster and manage operations smoothly, welcoming new sellers constantly and opening 6 new stores with ease.
Norbert Kun-Makczi
Executive Director · UsedProducts
Security and data handling.
Product data, not personal data
We process titles, attributes, categories and images. The only personal data in the platform is your team’s own account details. A complete answer to “what personal data do you process?” is rare, and we can give it.
We never train models on your data
We call inference APIs. There is no training pipeline in the product. Our AI monitoring runs on our own servers, inside our own network.
Only one thing faces the internet
Application servers and databases have no public address. The only thing reachable from the internet is HTTPS on the load balancer.
Encrypted in transit and at rest
TLS 1.2+ in transit, encryption at rest across the database, file storage and document store. Credentials live in a managed vault, never in code.
Enterprise access control
Single sign-on via SAML 2.0 and OpenID Connect (Okta, Entra ID, Google Workspace), multi-factor authentication, and role-based permissions. Isolation between customers is enforced on the server for every request, not in the browser.
Dedicated deployments
The whole platform is defined as code, so a single-tenant deployment in the region of your choice is a deployment decision, not a rewrite.
More on how we handle AI transparency obligations: EU AI Act
You’ve probably already scopedbuilding this.
Most enterprise teams do.It looks tractable: an LLM, a mapping layer, a queue.Six weeks of work.
Here’s where those projects stall.
The long tail doesn't end.
The first ten supplier formats are a sprint. The next two hundred are a permanent team. Every exception you handle reveals three more.
Generating content is easy.Trusting it is hard.
The engineering isn't in writing a description. It's in knowing when the model got the voltage wrong, catching it before it publishes, and proving afterwards where the number came from.
You didn't build a tool.You hired a maintenance team.
Model providers change. Supplier sites change. Channel requirements change. Someone owns that forever, and it isn't the roadmap you wanted to be funding.
You don't have to start with an integration.
Every capability on this page rests on the same enrichment engine that any team can use today, self-service, without talking to us. Sign up, run a workflow on your own catalog, and see the output quality for yourself.
If it works, we integrate it.Your workflows and any unused balance come with you.
Frequently Asked Questions
No, your plan can include as many SKUs as you need.
It depends on how many systems we're connecting and how many supplier formats are in scope. Weeks is realistic for most; we'll tell you which end of that you're at during discovery, before you commit.
Ideally nothing. We build the integration end-to-end. Your team reviews the design, provides access, and signs off.
Yes. Workflows and unused balance carry over.
No. There is no training pipeline in the product. We call third-party inference APIs and route everything through a single gateway, which also means we can pin or restrict model providers per customer.
Production runs on AWS. Because the entire platform is defined as code, we can stand up a dedicated single-tenant deployment in the region you require.
Yes. Every value carries its source, every run is inspectable step by step, and manual edits by your team are tracked separately from what Dyver produced.
You tell your team at Dyver. Building and testing the new workflow is part of what Enterprise covers.
Let's look at your actual catalog.
Not a demo.Bring a supplier feed and your target format, and we’ll show you what comes out the other side.