Relevance AI
Daniel Vassilev has a range of experience in the technology and startup industry. From 2020 to present, they are the Founder of Relevance AI, a platform for building AI chains and agents. In this role, they work with startups and enterprises to develop and deploy innovative products and features.
Prior to this, from 2018 to present, Daniel served as a Mentor in the INCUBATE Startup Program. Daniel offers tech mentoring to startups, helping them rapidly prototype and reach minimum viable products without significant time and financial investments. Daniel also guides non-technical founders in understanding and leading tech teams.
From 2015 to 2020, Daniel Vassilev was the Co-founder of Vylar Pty. Ltd. Daniel played a key role in building technical solutions and managing development teams. The company attracted 7 million users across multiple products, with Daniel leading the transition from prototypes to scalable products in a short period of time.
Daniel Vassilev pursued their education at St Andrew's Cathedral School from 2010 to 2014, where they completed their high school education. Daniel then enrolled at the University of Sydney in 2015 and graduated in 2017 with a Bachelor's Degree in Computer Science.
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Relevance AI
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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