At Relevance AI, our mission is to help teams create "light bulb" data moments. Moments where you realize something impossible is possible now and the significant impact of it.

This moment can ignite essential use cases such as unstructured data analysis, topic modelling, recommendations, semantic search, zero-shot classification, etc. 

Unstructured data exists in many forms, such as text fields in your CSV, SQL tables, PDFs, Audio transcripts, Images, Videos, etc. "The 80% Blind Spot: Are You Ignoring Unstructured Organizational Data?" - Forbes

Analytics

AI/ML

Relevance AI

Daniel Vassilev

Scott Henderson

Rosh Singh

Jacky Koh

Daniel Palmer

Chingis D.

Benedek Zajkas

Adam Marsh

Chelsea Wise

The Engineering Team at Relevance AI is dedicated to developing innovative solutions that unlock the potential of unstructured data. They design and implement robust software tools and algorithms that enable advanced analyses, such as semantic search and zero-shot classification, facilitating transformative insights for users. By collaborating closely with product and data teams, they ensure that the technology effectively transforms data into actionable "light bulb" moments.

Engineering Team

Marketing and Growth

Engineering Team

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Other teams at Relevance AI

Marketing and Growth