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Relevance AI Secures 24 Million in Series B Funding to Expand AI Agent Platform

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AI Agents
Series B Funding
Digital Transformation

Relevance AI has raised 24 million in Series B funding to scale its AI agent operating system, enabling companies to create and deploy specialized AI agents.

Relevance AI has secured $24 million in a Series B funding round to accelerate the expansion of its platform, which helps companies create and deploy specialized artificial intelligence (AI) agents. The announcement was made in a blog post by Co-founder and Co-CEO Daniel Vassilev.

Key Highlights:

  • AI Agent Operating System: The platform is designed to allow both engineers and subject matter experts to create AI agents tailored to their organization's needs.
  • Rapid Adoption: In January, 40,000 AI agents were created on the platform, signaling strong demand.
  • Fortune 500 Clients: Companies like Qualified, Activision, and SafetyCulture are already leveraging the technology.

Funding Utilization:

The new capital will be used to develop two key features:

  1. Workforce: A visual multi-agent system builder that enables domain experts (e.g., marketing or sales leaders) to design workflows where AI agents collaborate with humans—without requiring engineering resources.
  2. Text-to-Agent Generator: A tool that can create specialized AI agents in minutes based on natural language descriptions.

Industry Trends:

Relevance AI observes that companies initially using AI copilots (which assist users) are now transitioning to AI agents capable of autonomous task execution. Vassilev predicts that by 2025, having an agent builder platform will be essential for competitive organizations.

"The question isn’t if your organization will adopt AI agents, but when — and whether you’ll lead or follow in this transformation," Vassilev said.

Broader Context:

AI agents are not just task automators but adaptable knowledge workers that act autonomously on behalf of users. Earlier this year, Paid raised $10.8 million to scale financial infrastructure tailored for AI agents, highlighting the growing ecosystem around this technology.

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About the Author

David Chen

David Chen

AI Startup Analyst

Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.

Expertise

Startup Analysis
Venture Capital
Market Research
Business Models
Experience
11 years
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200+
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