In our first interview series we speak with Daniel Vassilev, Co-founder of Relevance AI.

Relevance AI is a leading platform to enable businesses to easily deploy and train an AI Workforce utilising a multi-agent architecture. The platform enables businesses to accomplish complex tasks on autopilot and monitor and manage their agents, enabling companies to 'Grow your business, not your headcount'.

In this interview we cover:
Daniel's builder background and hitting 1m users on his first app while in school
Founding story of Relevance AI – from vector embeddings to LLMs to agents, creating an AI workforce platformBuilding performant and reliable multi-agent systems
Taking advantage on the fundamental shift in how we work
Live customer AI agent use-cases deployed today in Sales and Support
Why being horizontal will win

Shownotes:
Beyond Co-pilot: https://relevanceai.substack.com/p/be... Anatomy of an AI agent: https://relevanceai.substack.com/p/th...


Galileo Ventures Podcast covers whats happening in tech Down Under and globally for early-stage founders and investors.

This episode is presented by James Alexander, Co-founder and Partner at Galileo Ventures.

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