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Relevance AI

Piattaforma no-code per creare team di agenti di IA, una «forza lavoro di IA», che svolgono attività di vendita, assistenza e operative senza il supporto di ingegneri.

In inglese

Relevance AI was founded in 2020 in Sydney by Daniel Vassilev, Jacky Koh, and Daniel Palmer, initially as a data-labeling and vector search tool before pivoting toward no-code AI agents as LLMs matured. The company now operates out of both Sydney and San Francisco, describing its mission as building the AI workforce for businesses without in-house ML engineers. The core product lets users assemble individual agents into 'Workforce' teams that hand off tasks to each other, plus a tool called 'Invent' for spinning up new agents from a text prompt. Common deployments include lead qualification, CRM enrichment, meeting-note agents, and semantic search over internal knowledge, aimed at operations and RevOps teams rather than developers. Relevance AI raised a $24 million Series B in 2025 led by Bessemer Venture Partners, bringing total funding to roughly $37 million, with backing also from Insight Partners, Peak XV, and King River Capital. Customers cited by the company include Qualified, Activision, and SafetyCulture, and it competes for no-code agent-building budget against Lindy and Zapier's AI features.

Founded
2020
Headquarters
Sydney, Australia
Sector
applications

Key people

  • Daniel Vassilev — Co-CEO & Co-Founder
  • Jacky Koh — Co-CEO & Co-Founder
  • Daniel Palmer — Co-Founder

Tools

  • Relevance AI Workforce

    Relevance AI Workforce lets teams build coordinated AI-agent workflows that run business processes from triggers to completion.

Official website