Co-founded by Max Brodeur-Urbas in mid-2023, Gumloop’s original goal was to enable non-technical employees to automate repetitive tasks with AI. At that time, AI agents were still experimental. As the technology has matured, Gumloop now helps teams at companies like Shopify deploy reliable AI agents to handle complex tasks without engineers.
Employees can share the agents they build, creating a compounding effect that accelerates internal automation. “They get addicted, start building more agents, and suddenly the whole company becomes AI-native,” Brodeur-Urbas said.
Seeing this potential, Everett Randle, who had just joined Benchmark from Kleiner Perkins, led Gumloop’s $50 million Series B. Although not actively fundraising, surging enterprise demand prompted Gumloop to “step on the gas.” Partnering with Benchmark was a “no-brainer,” the founder noted. While he originally planned to “build a billion-dollar company with just 10 people,” he now has to expand both sales and engineering teams.
Gumloop faces stiff competition from players like Zapier and Anthropic. Txawm li cas los xij, Randle discovered that one client gave employees access to Gumloop alongside two competitors. Six months later, staff used Gumloop daily or weekly, while the other tools sat untouched. He attributes this to the minimal learning curve: “You can go in and start making agents and workflow automations immediately.”
Additionally, Gumloop’s model-agnostic approach is a key advantage—clients can choose the best model for each task and utilize credits across different AI providers. “Enterprise automation is a massive pot of gold,” Randle said. “I think it’s the biggest category in enterprise AI.”