
Datavolution offers dv-search, an AI-powered semantic search solution for e-commerce that aims to improve RPV and customer satisfaction. Their platform utilizes machine learning, natural language search, and a performance platform to understand customer queries, even with misspellings and colloquialisms. Key features include entity detection, automated backoff strategies, adaptive ranking, and real-time analytics. The system is built for speed, scalability, and integrates via REST APIs, offering a comprehensive search solution or complementing existing ones.

Datavolution offers dv-search, an AI-powered semantic search solution for e-commerce that aims to improve RPV and customer satisfaction. Their platform utilizes machine learning, natural language search, and a performance platform to understand customer queries, even with misspellings and colloquialisms. Key features include entity detection, automated backoff strategies, adaptive ranking, and real-time analytics. The system is built for speed, scalability, and integrates via REST APIs, offering a comprehensive search solution or complementing existing ones.
What: AI-powered semantic search for e-commerce (dv-search)
Founded: 2013 — San Francisco
Founder: Amine Bouayad
Funding: Seed (Jan 1, 2014); investor: Global Cloud Xchange; total funding reported: $500,000 USD
E-commerce search and personalization; real-time data management and recommendations for shopping experiences (notably fashion and beauty).
2013
Real-time data management and e-commerce personalization
500000.00
“Seed investor: Global Cloud Xchange”