Inside Relevance AI: Founders’ Vision on Democratizing Agentic Automation

Meet the founders of Relevance AI and learn how their AI workforce builder platform is set to democratize agentic automation in their latest Series B funding round.

Revolutionizing the Workforce with Agentic Automation

In the rapidly evolving landscape of artificial intelligence, agentic automation stands out as a transformative force poised to redefine how businesses operate. At the forefront of this revolution is Relevance AI, a pioneering platform dedicated to building and managing AI-driven workforces. Founded by Daniel Vassilev, Jacky Koh, and Daniel Palmer, Relevance AI is setting new standards in the AI industry with their innovative solutions and visionary approach.

Founders’ Vision: Democratizing AI Workforce

The inception of Relevance AI was fueled by a clear vision: to make agentic automation accessible and customizable for businesses of all sizes. In a recent interview, co-CEOs Daniel Vassilev and Jacky Koh emphasized the limitations they observed in existing AI solutions. “We realized that while AI had the potential to transform businesses, existing solutions were often inflexible or required deep technical expertise,” they stated. This insight led to the creation of a platform that empowers companies to build bespoke AI agents tailored to their unique needs, without the steep learning curve typically associated with AI integration.

Securing Series B Funding: A Milestone for Growth

Relevance AI’s groundbreaking work has not gone unnoticed. Recently, Bessemer Venture Partners led a $24 million Series B funding round, a testament to the company’s strong market position and the increasing demand for agentic automation solutions. Caty Rea, Libbie Frost, and Jeremy Levine of Bessemer are spearheading this investment, aiming to further propel Relevance AI’s mission of democratizing AI workforce capabilities. This infusion of capital will enable Relevance AI to scale its operations, enhance its platform, and reach a broader audience across various industries.

Transforming Industries with AI Agents

The impact of agentic automation extends across multiple sectors, as evidenced by Relevance AI’s collaborations with notable companies like SafetyCulture. By integrating AI agents into their operations, SafetyCulture has streamlined workflows, reduced administrative burdens, and allowed their teams to focus on high-value tasks. Since partnering with Relevance AI in January 2024, SafetyCulture has successfully onboarded their first AI workforce, resulting in a more efficient and happier team.

With a 40x increase in agents created year-over-year, and 40,000 agents launched in January 2025 alone, Relevance AI is demonstrating the significant scalability and effectiveness of their solutions. These AI agents are not just tools; they are integral team members that enhance productivity, foster innovation, and drive economic growth.

The Urgency of Adopting Agentic Automation

The urgency to adopt agentic automation has never been greater. According to Stanford’s 2025 AI Index Report, the adoption of AI technologies surged from 55% to 78% among organizations in just one year. Leading companies like Shopify, Box, and Duolingo have already integrated AI-first strategies, recognizing the competitive advantage that AI can provide. Relevance AI’s founders argue that businesses delaying AI adoption risk falling behind in productivity and innovation.

CEOs play a crucial role in this transition. By empowering domain experts to build and train AI agents, companies can create highly specialized solutions that understand the nuances of their specific business processes. This approach not only enhances efficiency but also unleashes the full potential of human creativity by automating repetitive tasks.

Shaping the Future: Relevance AI’s Roadmap

Looking ahead, Relevance AI is poised to further transform the workforce landscape. With the recent Series B funding, the company plans to accelerate its mission to empower a million knowledge workers with specialized AI agents. The launch of two new features, Workforce—a visual multi-agent system builder, and Invent—the first text-to-agent generator, marks a significant advancement in making AI workforce creation more intuitive and accessible.

These innovations enable domain experts, not just engineers, to design and deploy AI teams that seamlessly integrate with existing technical infrastructures. By prioritizing user-friendly tools and continuous platform improvement, Relevance AI is ensuring that businesses can adapt to the evolving demands of the AI-driven world.

Conclusion

Relevance AI is not just participating in the AI revolution; it is leading it. By democratizing agentic automation, the company is enabling businesses to harness the full potential of AI agents, transforming how work is done across industries. As AI continues to advance, Relevance AI’s commitment to accessible and customizable solutions ensures that companies of all sizes can thrive in this new era of automation.

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