Retail-Optimized Generative AI
Vody is the AI-optimized and AI-accessible data layer that dynamically adapts to changing customer needs.
AI That Speaks Retail
Better inputs. Better matches. Personalized at scale.
Agentic AI Data Extraction
Turn scattered raw data into AI-data-layer-ready information. Vody ingests raw files and extracts AI-optimized and enriched product records—ready for use across your catalog and downstream tools
GenAI Enriched Attributes
Enhance your product listings with rich, AI-powered attributes and compelling descriptions. Vody fills in missing details to improve search performance, relevance, and shopper confidence.
Search Conversion Memory
A powerful combination of Graph ML + Gen AI that learns directly from customer behavior. Optimize your catalog for search & discovery by aligning product keywords with how your customers look for items
Connected GenAI with Vody MCP
Enable internal teams like marketing, merchandising, and product development to query your product catalog using popular 3rd party LLMs.
Research
Research has always been at the core of what we do at Vody. That’s why we're incredibly proud to announce our new partnership with Dr. Chenyan Xiong’s lab at Carnegie Mellon University—one of the most respected institutions in AI research. In collaboration, we’ve launched two sponsored research projects focused on generative engine optimization and personalization—two of the most urgent frontiers in AI for commerce.
Generative Engine Optimization
Pioneer SEO in the LLM era by developing methodologies to enhance visibility in AI-powered search and discovery engines.
Real-time Personalization
Revolutionize personalization with real-time context for each shopper that lands on a site, creating hyper-personalized shopping experiences for every shopper– no sign up or login necessary.
Proven Results in Seven Weeks
Vody offers frictionless data layer integration, industry-specific AI, and measurable business impact—with deployments in as little as seven weeks and ROI in the double-digit millions.
Conversion Rates
Boost in Conversion Rates
Customer Engagement
Increase in Customer Engagement
GMV
Increase in GMV
Our Partners
Get To Know Our Team
Vody was founded by a team of proven leaders in AI, search, and consumer technology who saw firsthand how traditional product catalogs fail modern search and recommendation systems. With decades of experience building scalable, intelligent search infrastructure at companies like Etsy and StyleHaul, the Vody team is reimagining how data is structured for the age of LLMs, agents, and next-gen personalization.
Stephanie Horbaczewski
CEO & Co‑Founder
Stephanie is a serial entrepreneur and co-founder of Vody, drawing on her background in digital content and marketing. Previously, she founded StyleHaul and led it through a successful nine-figure acquisition. With a JD/MBA and experience scaling businesses from the ground up, she brings strategic vision and deep market insight to Vody’s mission of transforming messy product data into AI-ready infrastructure.
Andrew Stanton
CTO & Co‑Founder
Andrew is a seasoned technologist with over 30 years of experience in software engineering, AI, and product development. He previously led machine learning and search at Etsy, where he also founded and sold the search startup Blackbird. At Vody, Andrew drives platform architecture and API development, building the infrastructure that powers AI-native product catalogs.
Dr. Yubin Kim
Chief Scientist
Yubin is a search and AI expert with a PhD from Carnegie Mellon University, specializing in large-scale information retrieval. She has led applied research and engineering teams at companies including Etsy and UPMC Enterprises. At Vody, she leads our scientific innovation, bridging academic breakthroughs in search with real-world AI product applications.