Gumloop has secured $50 million in Series B funding led by Benchmark general partner Everett Randle. The investment, announced in the wake of the company's rapid growth, aims to scale its platform that enables non-technical employees to build and deploy AI agents for complex automation tasks. Co-founder Max Brodeur-Urbas launched the startup in mid-2023 with the goal of democratizing artificial intelligence, allowing teams to automate repetitive work without engineering support. Since then, the platform has gained traction with major organizations including Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor. Randle's decision to lead the round, his first at Benchmark, reflects a strategic bet on empowering individual workers with AI capabilities. He notes that once employees experience the efficiency gains of building their own agents, adoption compounds organically, often transforming entire companies into AI-native environments. The funding round also included participation from Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project, and Shopify. While Gumloop was not actively seeking capital, the founders decided to accelerate hiring for sales and engineering teams to meet surging enterprise demand. Gumloop operates in a competitive landscape featuring established automation tools like Zapier and n8n, specialized builders such as Dust, and offerings from foundational labs like Anthropic's Claude Co-Work. However, Randle cites Gumloop's superior adoption rates as a key differentiator. During due diligence, he learned of a case where a company tested Gumloop alongside two competitors. Six months later, employees were using Gumloop daily while the rival tools remained unused. Randle attributes this success to the platform's minimal learning curve, which allows users to create workflows immediately without coding. A critical strategic advantage for Gumloop is its model-agnostic architecture. Unlike startups dependent on a single large language model, Gumloop allows users to select the most effective AI model for specific tasks. This flexibility addresses enterprise concerns about obsolescence as foundational models evolve and offers a cost-effective solution for companies holding credits across multiple providers like OpenAI, Gemini, and Anthropic. Brodeur-Urbas had previously planned to build a smaller company, but the market response has driven a pivot toward significant scaling. Randle describes enterprise automation as the largest category in the current AI sector, suggesting that Gumloop is well-positioned to capture a substantial share of this market by turning every knowledge worker into an automation builder.