companies

Relevance AI

No-code platform for assembling teams of AI agents, an 'AI workforce,' that handle sales, support, and ops tasks without engineering help.

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