Gumloop Secures $50 Million to Empower Employees as AI Agent Builders

Founded in mid-2023 by Max Brodeur-Urbas, Gumloop aims to enable non-technical employees to automate repetitive tasks using artificial intelligence (AI). Initially, the concept of AI agents was experimental, but as technology has advanced, Gumloop has evolved its offerings. The company now claims to empower teams at organizations such as Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor to deploy reliable AI agents capable of autonomously managing complex, multistep tasks without requiring engineering support. Brodeur-Urbas noted that this capability fosters a culture of automation within companies, as employees become increasingly engaged in building AI agents.

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In a move to accelerate its growth, Gumloop recently secured a $50 million Series B investment led by Benchmark general partner Everett Randle. This funding round also saw participation from Nexus VP, First Round Capital, Y Combinator, BoxGroup, and The Cannon Project. Randle, who joined Benchmark in October 2025, emphasized the importance of empowering every worker with AI capabilities, viewing Gumloop's intuitive agent builder as a key tool for achieving this goal. Despite not actively seeking new capital, Gumloop decided to leverage this opportunity to expand its operations.

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Gumloop operates in a competitive environment, facing challenges from established automation platforms like Zapier and n8n, as well as specialized agent builders such as Dust. Additionally, foundational AI labs like Anthropic are entering the market with offerings like Claude Cowork, which allows users to create autonomous agents without coding. However, Randle believes Gumloop stands out due to its minimal learning curve and user-friendly interface. He cited a case where a customer provided employees access to Gumloop alongside two competitors; six months later, Gumloop was the preferred choice, with employees using it regularly while the alternatives remained largely unused.

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Randle asserts that Gumloop's model-agnostic approach is a significant advantage, allowing customers to select the most effective AI model for specific tasks. This flexibility is appealing to enterprises that possess credits for various AI models, including OpenAI, Gemini, and Anthropic. Randle highlighted the vast potential of enterprise automation, describing it as "the biggest category in enterprise AI."

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While Gumloop's approach has garnered support, it also faces skepticism from some industry observers who question whether the reliance on user-generated AI agents could lead to inconsistencies in performance and reliability. Additionally, the competitive landscape may pose challenges as established players and new entrants continue to innovate in the AI automation space.

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• “They get addicted, they start building more agents, and then all of a sudden, the whole company is AI native,” — Max Brodeur-Urbas, Co-founder of Gumloop

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• “I think it’s the biggest category in enterprise AI.” — Everett Randle, General Partner at Benchmark

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As Gumloop continues to grow and refine its offerings, it remains to be seen how it will navigate the challenges of competition and user adoption in the rapidly evolving AI landscape.

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