Relevance AI raises $24 million to boost AI workforce tools

Relevance AI has secured $24 million in Series B funding to support the expansion of its AI agent platform for enterprises.

The funding round was led by Bessemer Venture Partners, with participation from existing investors King River Capital, Insight Partners, and Peak XV. Relevance AI operates in both San Francisco and Sydney and focuses on offering AI-driven solutions that enable businesses to create virtual workforces comprising specialised AI agents.

The company reported significant growth in the adoption of its platform, with 40,000 agents created in January 2025 alone. Its client base ranges from startups to Fortune 500 companies, including Qualified, Activision, and SafetyCulture. The platform is designed to allow subject matter experts to build teams of AI agents using no-code, intuitive solutions, enabling automation of workflows without requiring technical expertise.

Coinciding with the funding, Relevance AI has launched two new features: 'Workforce' and 'Invent.' The 'Invent' feature is described as a world-first, allowing users to create AI agents using simple text prompts without any coding or development expertise. The 'Workforce' feature functions as a multi-agent system, enabling customers to build teams of specialised agents that can work collaboratively across departments to complete complex business processes.

Daniel Vassilev, Co-Founder and Co-CEO of Relevance AI, commented: "This funding fuels our vision of making Relevance AI the definitive home of the AI workforce. We're creating a world where organisations are limited only by their ideas, not their headcount. By the end of 2025, companies without an agent builder platform will find themselves at a significant competitive disadvantage."

Jacky Koh, also Co-Founder and Co-CEO, said: "With Invent, we're reinventing how AI agents are created and paving the way to an AI-first world. Instead of adapting AI to fit human workflows, we're enabling an entirely new paradigm where companies build their processes around AI capabilities from the start. Domain experts can now describe what they need in natural language, and our platform generates a specialised agent in minutes. This represents a fundamental shift – the organisations that thrive will be those that reimagine their operations with AI agents as first-class team members, not just tools. We're giving businesses the canvas to design this AI-first future today."

Relevance AI differentiates itself from traditional automation tools by enabling users to build AI agents capable of contextual decision-making and handling non-deterministic workflows. This allows for the automation of tasks previously considered too complex to automate, with agents designed to understand specific business processes and industry terminology.

Mike Welch, Managing Director of SafetyCulture, described the impact on his organisation: "The ROI from our first agent deployment was immediate and dramatic. Now we're looking at how to scale this across our entire organisation. There are countless areas where teams waste valuable time on basic admin work and routine processes. Relevance AI is helping us completely reimagine how we operate."

Kraig Swensrud, Founder and CEO of Qualified, highlighted the platform's accessibility for domain experts: "We evaluated several agent platforms, but Relevance AI stood out for its ability to create highly specialised agents trained by our domain experts rather than engineers. Their platform enables us to build agents that understand the nuances of our specific business processes and industry terminology. The agents integrate seamlessly with our existing tech stack and deliver truly human-quality work tailored to our unique needs. What's remarkable is how quickly our subject-matter experts were able to train and manage these specialised agents without any coding knowledge."

The 'Workforce' feature allows domain experts to construct multi-agent systems on a no-code visual interface, fostering collaboration between AI agents and human teams. This system is designed to integrate with a wide variety of tools and tech stacks, offering approval and escalation mechanisms to fit established workflows.

The 'Invent' feature streamlines deployment by allowing users to generate agents through simple natural language instructions. This aims to reduce the barriers to adoption of AI technologies, enabling rapid deployment of specialised agents without development resources.

Jeremy Levine, Partner at Bessemer Venture Partners, said: "Relevance AI's exponential growth speaks volumes about the market demand for their platform and the effectiveness of their approach."

Caty Rea, Vice President at Bessemer, added: "The company's ability to transform how businesses leverage AI is remarkable. We see tremendous potential in their vision of democratising access to agentic AI technologies."

This latest investment brings Relevance AI's total funding to $37 million. The company employs over 80 staff across its two offices.