As AI agents become more common in the workplace, they’re no longer just a “cool new tool” — they’re joining your team meetings, learning your workflows, and collaborating like digital coworkers. According to Boston Consulting Group, the AI agent market is expected to grow at a staggering 45% compound annual growth rate over the next five years. That’s not just hype — that’s a workplace shift in real-time.
Enter Relevance AI: the Sydney- and San Francisco-based startup building what they call an “operating system for AI agents.” Translation? They’re giving businesses the infrastructure to train, deploy, and manage AI agents like they’re employees. And the world is taking notice — they just closed $24 million in Series B funding, bringing their total to $37M. The round was led by Bessemer Venture Partners, with returning support from Insight Partners, King River Capital, and Peak XV.
Here’s where it gets exciting: Relevance isn’t just churning out bots that answer FAQs. Their platform supports over 40,000 registered agents that can be trained for niche workflows, like sales follow-ups, compliance checks, or product feedback loops. And with new tools like Workforce (a no-code way to build collaborative multi-agent teams) and Invent (text-prompt-based agent creation), they’re making it easier than ever for non-tech folks to build custom agents tailored to their business needs.
Oh, and did we mention they’re model-agnostic? That means you’re not locked into one vendor’s AI — you can plug Relevance into your whole tech stack.
With clients like Activision and SafetyCulture already on board, and competitors like Microsoft, SmythOS, and Gooey.AI watching closely, Relevance is planting its flag in the AI agent arena. Whether you’re building with them or just watching from the sidelines, one thing’s clear: AI agents are clocking in — and they’re not just taking notes.
