Infrastructure
for Agentic Commerce
Semantic intent, enriched product data, and visual AI.
Built for modern digital teams.
AI can generate answers. But commerce needs context.
To perform reliably, commerce needs operational context: product meaning, relationships, user intent, and the logic of what should happen next.
vviinn provides the infrastructure layer that connects intent, catalog data and multimodal understanding, so that search, discovery and automation actually perform.
Built for teams working across commerce, search, discovery, and AI-powered customer journeys.
Agentic Commerce
needs infrastructure before it scales
LLMs are powerful. But in commerce, raw language alone is not enough.
Without clear intent signals, reliable product understanding, and contextual memory,
AI produces output; not dependable outcomes.
LLMs need infrastructure
Foundation models can interpret language and images. But they do not replace the underlying layer that organizes catalog data, product meaning, and user intent.
Answers are not the same as resolution
Chatbots can respond fluently.
Yet without context, they often answer around the problem instead of solving it.
Discovery depends on semantic understanding
Modern commerce needs more than just search.
This means matching intent to inventory across text, images, attributes, and behavior, as users expect less friction and more relevance.
One platform.
The core layers for agentic commerce
vviinn combines semantic, visual and voice understanding into one connected system—ready to connect with your existing stack.
vviinn Core
Capture what users actually mean, not just what they type or say. Turn intent into usable signals for search, recommendations, assistants, and downstream workflows.
vviinn Search
vviinn Discovery
vviinn Quality
Better context.
Better business outcomes.
When intent is understood more precisely and context is available, discovery becomes more relevant. If users feel seen and served better, inevitably, commercial performance improves.
66%
of companies using AI agents report increased productivity
60%
of brands will use agentic AI for one-to-one customer interactions by 2028
18%
conversion rate for LLM-referred traffic vs. 2% industry average
Proven in real commerce environments.
Technology matters. But business relevance matters more. vviinn is built for real product catalogs, real buying journeys, and real operational complexity.
"The visual product recommendations are more accurate. They clearly promote and accelerate the purchasing decision. And customers directly benefit from the more relevant recommendations."
Robert Flanz
SCHUHCENTER FUR INTERNET WORLD
"We switched to visual product recommendations from Vviinn and are positively surprised by the leap in quality and the ease of integration."
Oliver Hohmeier
EINRICHTUNGSHAUS OSTERMANN GMBH & CO.KG
Built to work with your existing stack.
vviinn connects with the systems digital teams already use—from commerce platforms and PIMs to LLM workflows, recommendation engines, and automation layers—acting as the operation intent layer between product data, AI systems, and customer experiences.
Built in Europe.
Secure by Design.
vviinn is developed and operated with strong standards for privacy, reliability, and responsible AI deployment, giving teams modern AI infrastructure while maintaining full control over their data, systems, and governance.
Get Started Free.
Pay as you go.
Build, launch, and grow with our tiered pricing.
Start with a foundational model and pay only for what you use.
Free
For testing and building
Plus
For launching and growing
Enterprise
For scaling and services
Build with vviinn
Learn how intent, AI search, and product intelligence power the next generation of commerce experiences.
API Documentation
Build with vviinn using our powerful API. Access clear documentation, examples, and integration guides to connect product data, semantic intent, and AI-driven discovery into your commerce stack.
Web components in Storybook
Explore the vviinn design system in Storybook. Preview UI components, interaction patterns, and ready-to-use elements for building fast, consistent, and scalable commerce experiences.
Blog
Stay up to date with the latest insights on AI-driven commerce, product discovery, and how intent data is reshaping the way brands connect with customers.
Ready to bring intent
to agentic commerce?
Explore how vviinn helps digital teams connect product data, user intent and AI systems into one operational layer for search, discovery and growth.