Dyver

Discover. Organize. Create.

The AI platform that turns fragmented, messy supplier data into structured, searchable, and sellable product listings across every channel, at any scale.

Dyver is not a rigid pipeline. It's a flexible intelligence layer that adapts to how your data is structured. Built around three powerful capabilities: Discover, Organize, and Create - each works independently or combines into end-to-end workflows. Every capability pairs deterministic rules with AI, large language models, and human-in-the-loop validation: automation and control in balance. You get accuracy at scale without ever losing trust in your data.

Discover

Missing product information or images?
Let Dyver find it for you.

Most product data already exists somewhere: on supplier websites, in PDFs, in images, or across the web. Dyver's first job is to find it, validate it, and bring it together. This gives every product a richer, more reliable foundation, even when supplier data is thin.

Web search & discovery

Dyver can search the open web to locate missing or incomplete product information, filling the gaps in supplier feeds. Both text & images.

Supplier & manufacturer search

Focus Dyver's search on trusted sources, such as supplier websites, manufacturer pages, or specific product pages, to ensure accuracy and brand consistency.

Document & image discovery

Ask Dyver to extract product information from PDFs (spec sheets, manuals, catalogs), use AI to describe images, or retrieve text from labels & packaging.

Organize

Turn chaos into structured product intelligence

Raw data is useless unless it is understood, classified, and made consistent. Dyver transforms scattered inputs into clean, structured product models. This creates a single source of truth across all suppliers, formats, and systems.

Attribute extraction & normalization

Dyver identifies and extracts attributes, even when they don't exist as fields, from descriptions, documents, and images. It normalizes them into clean, filterable values across all sales channels.

Organize images

Automatically select images that match your criteria, change format and resolution, remove unwanted elements, or change background.

Category & subcategory mapping

Dyver understands how products should be classified. It maps each item to the correct category and subcategory, and automatically converts one supplier's structure into another.

Create

Turn data into high-converting listings

Once your product data is structured, Dyver turns it into ready-to-publish content: written, formatted, and optimized for your business. No manual cleanup. No broken imports. Just clean, usable product intelligence.

Write in your brand voice

Your voice. Your rules. Every product. Dyver generates titles, descriptions, SEO, and GEO content aligned to your brand tone, category guidelines, and platform requirements, at any scale.

Translate at scale

Dyver translates your entire catalog into any language, while preserving brand voice, terminology, and commercial intent.

Modify images or generate new ones

Turn basic supplier packshots into inspiring images. Remove unwanted elements or backgrounds.

Continuous improvement

The Living Product Data Advantage

Every listing Dyver processes strengthens the global model, making your product data smarter, more accurate, and more competitive over time. This continuous improvement is your long-term moat for ecommerce excellence.

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Retrieve
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Process
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Use
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Improve

The payoff

Why this unlocks scale

Dyver doesn't just ‘clean data.’ It understands products. By combining deterministic rules with AI and LLMs, Dyver gives you:

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Faster product onboarding

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Better filtering and discovery

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Higher conversion rates

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Fewer returns

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A catalog that scales with your business

From raw inputs to structured intelligence to high-impact commerce.

Where Raw Product Data Becomes Market-Ready

From enrichment and mapping to image and content generation, Dyver's AI-driven features transform messy product data into structured, optimized listings, ready to scale across commerce channels.