Gumloop lands $50M from Benchmark to show each worker into an AI agent builder

Gumloop lands $50M from Benchmark to show each worker into an AI agent builder

Last Updated: March 12, 2026By

When Max Brodeur-Urbas co-founded Gumloop in mid-2023, his imaginative and prescient was to assist non-technical staff automate repetitive duties utilizing AI. At the moment, the idea of AI brokers was nonetheless largely experimental and susceptible to errors.

As AI know-how has matured, so has Gumloop’s providing.

The corporate claims that it now permits groups at organizations like Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor to deploy dependable AI brokers that autonomously deal with advanced, multi-step duties, all with out ever needing an engineer.

Staff can share the brokers they construct with colleagues, making a compounding impact that accelerates inside automation. “They get addicted, they begin constructing extra brokers, after which rapidly, the entire firm is AI native,” Brodeur-Urbas advised TechCrunch.

As corporations race to undertake AI, Benchmark normal accomplice Everett Randle believes the important thing to success lies in empowering each employee with AI superpowers, and Gumloop’s intuitive agent-builder is an instance of the type of instrument that may unlock that potential.

That’s why Randle, who joined Benchmark final October from Kleiner Perkins, selected to guide a $50 million Sequence B funding into Gumloop. The deal, which is Randle’s first at his new agency, included participation from Nexus VP, First Spherical Capital, Y Combinator, Field Group, The Cannon Mission, and Shopify.

Although Gumloop wasn’t actively looking for new capital, the startup determined this was the yr to “step on the fuel.” For Brodeur-Urbas, partnering with Benchmark—the agency behind icons like eBay, Uber, and Dropbox—was a “no-brainer.”

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Whereas Brodeur-Urbas beforehand deliberate to ‘construct a 10-person, billion-dollar firm,’ the surging demand from enterprise purchasers has compelled him to construct a devoted gross sales pressure and scale up his engineering staff, he stated.

Gumloop is under no circumstances the one participant vying to show each information employee into an AI agent-builder. The startup faces stiff competitors from established automation platforms like Zapier and n8n, in addition to specialised agent builders like Mud. Even foundational AI labs are coming into the fray.  As an example, Anthropic’s Claude Co-Work permits customers to create autonomous brokers with out writing a single line of code.

However Randle believes Gumloop is superior to all its rivals. Throughout his due diligence, he found that at the least one of many firm’s clients had adopted Gumloop considerably organically.

When Randle requested a CTO how they selected Gumloop, the response was telling. The corporate had given staff full entry to Gumloop alongside two rivals. Six months later, the outcomes had been clear: workers had been utilizing Gumloop day by day or weekly, whereas the competing instruments sat untouched, Randle advised TechCrunch.

The explanation Gumloop gained such momentum, in response to Randle, is its minimal studying curve. “You may go in and begin making brokers and workflow automations instantly,” he stated.

Whereas many AI startups fear that foundational fashions will replicate the identical performance and render them out of date, Randle is satisfied that Gumloop’s model-agnostic method is exactly what is going to maintain attracting clients.

As fashions proceed to evolve, one could carry out higher than one other for a particular activity. So, Gumloop gives the pliability to decide on the mannequin greatest fitted to the job at any given second.

One more reason why mannequin independence is engaging, in response to Randle, is value. “Loads of enterprises have OpenAI, Gemini, and Anthropic credit. They need to use all of them,” he stated

His pleasure for the corporate in the end comes right down to the sheer dimension of the chance.

“Enterprise automation is an enormous pot of gold,” Randle stated. “I feel it’s the largest class in enterprise AI.”


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