Relevance AI

About Relevance AI

Relevance AI provides a low-code platform for businesses to build, recruit, and manage teams of autonomous AI agents. Founded in 2020 by Co-CEOs Daniel Vassilev and Jacky Koh, along with Daniel Palmer, the Sydney-based company aims to make AI accessible to non-technical users, allowing them to automate complex business processes and repetitive tasks without developer resources.

The founders' backgrounds in machine learning and software engineering were instrumental in developing the platform, which addresses the need for more flexible and user-friendly AI solutions. The company's core offering is its visual, no-code platform where subject-matter experts can design, train, and deploy custom AI agents for functions across sales, marketing, customer support, and research. The platform is model-agnostic, allowing users to choose from top Large Language Model (LLM) providers like OpenAI, Google, and Anthropic.

Relevance AI operates on a subscription-based business model with various pricing tiers, including a free plan, making it accessible to individuals, startups, and large enterprises. Clients include startups and Fortune 500 companies such as Activision and SafetyCulture. The platform's features include a visual multi-agent system builder called 'Workforce', and 'Invent', a text-to-agent generator. These tools enable the creation of AI workforces that can handle tasks like lead qualification, data analysis, and customer service inquiries.

The company has seen significant growth, with 40,000 AI agents created on its platform in January 2025 alone. Relevance AI has raised a total of $37 million in funding. This includes a Series A round in December 2023 and a $24 million Series B round in May 2025, led by Bessemer Venture Partners with participation from King River Capital, Insight Partners, and Peak XV.