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

Marina Temkin
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⚡ Quantum Brief
Gumloop secured $50M in Series B funding led by Benchmark to scale its no-code AI agent platform, enabling non-technical employees to automate complex workflows without engineers. The startup’s platform is already used by Shopify, Ramp, and Instacart, where employees build and share AI agents, creating viral internal adoption and accelerating enterprise automation. Benchmark’s Everett Randle called Gumloop’s intuitive interface a standout, citing a client test where employees abandoned competitors to use Gumloop daily due to its minimal learning curve. Gumloop’s model-agnostic approach lets enterprises leverage multiple AI providers (OpenAI, Anthropic, etc.), optimizing cost and performance—key for scaling in a fragmented AI landscape. Competitors like Zapier, Anthropic’s Claude Co-Work, and Dust pose challenges, but Randle believes Gumloop’s ease of use and flexibility position it to dominate the $100B+ enterprise automation market.
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When Max Brodeur-Urbas co-founded Gumloop in mid-2023, his vision was to help non-technical employees automate repetitive tasks using AI. At that time, the concept of AI agents was still largely experimental and prone to errors. As AI technology has matured, so has Gumloop’s offering. The company claims that it now allows teams at organizations like Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor to deploy reliable AI agents that autonomously handle complex, multi-step tasks, all without ever needing an engineer. Employees can share the agents they build with colleagues, creating a compounding effect that accelerates internal automation. “They get addicted, they start building more agents, and then all of a sudden, the whole company is AI native,” Brodeur-Urbas told TechCrunch. As companies race to adopt AI, Benchmark general partner Everett Randle believes the key to success lies in empowering every worker with AI superpowers, and Gumloop’s intuitive agent-builder is an example of the kind of tool that will unlock that potential. That’s why Randle, who joined Benchmark last October from Kleiner Perkins, chose to lead a $50 million Series B investment into Gumloop. The deal, which is Randle’s first at his new firm, included participation from Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project, and Shopify. Though Gumloop wasn’t actively seeking new capital, the startup decided this was the year to “step on the gas.” For Brodeur-Urbas, partnering with Benchmark—the firm behind icons like eBay, Uber, and Dropbox—was a “no-brainer.” Techcrunch event Disrupt 2026: The tech ecosystem, all in one room Your next round. Your next hire. Your next breakout opportunity. Find it at TechCrunch Disrupt 2026, where 10,000+ founders, investors, and tech leaders gather for three days of 250+ tactical sessions, powerful introductions, and market-defining innovation. Register now to save up to $400. Save up to $300 or 30% to TechCrunch Founder Summit 1,000+ founders and investors come together at TechCrunch Founder Summit 2026 for a full day focused on growth, execution, and real-world scaling. Learn from founders and investors who have shaped the industry. Connect with peers navigating similar growth stages. Walk away with tactics you can apply immediatelyOffer ends March 13. San Francisco, CA | October 13-15, 2026 REGISTER NOW While Brodeur-Urbas previously planned to ‘build a 10-person, billion-dollar company,’ the surging demand from enterprise clients has compelled him to build a dedicated sales force and scale up his engineering team, he said. Gumloop is by no means the only player vying to turn every knowledge worker into an AI agent-builder. The startup faces stiff competition from established automation platforms like Zapier and n8n, as well as specialized agent builders like Dust. Even foundational AI labs are entering the fray. For instance, Anthropic’s Claude Co-Work allows users to create autonomous agents without writing a single line of code. But Randle believes Gumloop is superior to all its rivals. During his due diligence, he discovered that at least one of the company’s customers had adopted Gumloop somewhat organically. When Randle asked a CTO how they chose Gumloop, the response was telling. The company had given employees full access to Gumloop alongside two competitors. Six months later, the results were clear: staff were using Gumloop daily or weekly, while the competing tools sat untouched, Randle told TechCrunch. The reason Gumloop gained such momentum, according to Randle, is its minimal learning curve. “You can go in and start making agents and workflow automations immediately,” he said. While many AI startups worry that foundational models will replicate the same functionality and render them obsolete, Randle is convinced that Gumloop’s model-agnostic approach is precisely what will keep attracting customers. As models continue to evolve, one may perform better than another for a specific task. So, Gumloop provides the flexibility to choose the model best suited for the job at any given moment. Another reason why model independence is attractive, according to Randle, is cost. “Plenty of enterprises have OpenAI, Gemini, and Anthropic credits. They want to use all of them,” he said His excitement for the company ultimately comes down to the sheer size of the opportunity. “Enterprise automation is a massive pot of gold,” Randle said. “I think it’s the biggest category in enterprise AI.” Topics AI, AI agents, Benchmark Partners, Exclusive, gumloop, Startups, Venture Marina Temkin Reporter, Venture Marina Temkin is a venture capital and startups reporter at TechCrunch. Prior to joining TechCrunch, she wrote about VC for PitchBook and Venture Capital Journal. Earlier in her career, Marina was a financial analyst and earned a CFA charterholder designation. You can contact or verify outreach from Marina by emailing marina.temkin@techcrunch.com or via encrypted message at +1 347-683-3909 on Signal.

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