Gumloop lands $50M from Benchmark to turn every employee into an AI agent builder

Gumloop, co-founded by Max Brodeur-Urbas in mid-2023, is revolutionizing the way non-technical staff can automate their repetitive tasks using artificial intelligence. Initially, the concept of AI agents was seen as experimental and often unreliable. However, with advancements in technology, Gumloop has evolved its platform to enable organizations like Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor to deploy dependable AI agents capable of managing intricate, multi-step operations without the need for engineering expertise. This innovative approach allows employees to create and share their AI agents with colleagues, fostering a culture of internal automation. Brodeur-Urbas noted that this leads to a surge in agent-building activity, ultimately transforming entire companies into AI-native environments. Benchmark's general partner, Everett Randle, emphasizes that empowering every employee with AI capabilities is crucial for success in today’s fast-paced market. This belief was a driving factor behind his decision to lead a $50 million Series B funding round for Gumloop, marking his inaugural investment since joining Benchmark from Kleiner Perkins. Other notable investors in the round included Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project, and Shopify. Though Gumloop wasn’t actively seeking additional funding, Brodeur-Urbas felt that now was the perfect time to accelerate growth. The increasing demand from enterprise clients has prompted him to strengthen his sales team and expand engineering resources, moving beyond his original vision of a smaller-scale company. Gumloop is not alone in its mission; it faces competition from established automation services like Zapier and n8n, as well as niche players such as Dust. Even major AI labs, including Anthropic, are entering the market with tools that allow users to create autonomous agents without coding. However, Randle believes Gumloop stands out among its competitors. During his research, he learned that one of Gumloop’s clients had organically gravitated towards its platform. When asked why they preferred Gumloop over others, the CTO revealed that employees had full access to Gumloop and two rival tools. Six months later, the data spoke volumes: staff members actively engaged with Gumloop while the alternatives remained largely unused. Randle attributes this success to Gumloop’s user-friendly interface, which allows immediate creation of agents and workflow automations. Many AI startups are concerned about foundational models diminishing their relevance, but Randle is confident that Gumloop’s adaptable approach will continue to attract clients. As AI models evolve, the flexibility to select the most effective model for specific tasks will be a significant advantage. Cost-effectiveness is another appealing aspect of Gumloop’s model-agnostic strategy. Enterprises often possess credits for various AI models, such as OpenAI, Gemini, and Anthropic, and want the ability to utilize all of them. Randle’s enthusiasm for Gumloop is rooted in his belief that enterprise automation represents a tremendous opportunity. He describes it as a potential “massive pot of gold” and suggests it may be the largest segment within the realm of enterprise AI.