Gumloop Secures $50M to Turn Every Employee Into an AI Agent Builder

In a world where artificial intelligence is rapidly reshaping the workplace, one startup is betting that the real revolution won’t come from engineers or data scientists—but from everyday employees who can now build their own AI agents without writing a single line of code.

That’s the bold vision of Gumloop, a San Francisco-based automation platform that just closed a $50 million Series B led by Benchmark, with participation from Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project, and Shopify. The funding marks a major inflection point for the company, which began as a modest experiment in mid-2023 but has since evolved into a full-fledged enterprise AI powerhouse.

From Humble Beginnings to AI-Native Workplaces

When Max Brodeur-Urbas co-founded Gumloop in mid-2023, the AI landscape looked very different. Agents—autonomous software capable of handling multi-step tasks—were still largely experimental, often unreliable, and accessible only to those with deep technical expertise.

Brodeur-Urbas saw an opportunity to democratize this technology. His vision was simple yet transformative: empower non-technical employees to automate repetitive, time-consuming tasks using intuitive AI tools. At the time, this was a niche idea. Today, it’s a booming market.

As AI models have matured, so too has Gumloop’s platform. The company now enables teams at high-profile organizations like Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor to deploy reliable AI agents that autonomously handle complex workflows—without ever needing to involve an engineer.

The Viral Effect of AI Adoption

One of Gumloop’s most compelling features is its viral adoption curve within organizations. Employees who build useful agents can share them with colleagues, creating a compounding effect that accelerates automation across the company.

“It’s like a snowball,” Brodeur-Urbas explained to TechCrunch. “They get addicted, they start building more agents, and then all of a sudden, the whole company is AI native.”

This grassroots momentum is exactly what Benchmark general partner Everett Randle found so compelling. Randle, who joined Benchmark last October from Kleiner Perkins, led the investment after witnessing firsthand how Gumloop’s users organically gravitated toward the platform.

Why Benchmark Bet Big

For Randle, the key to unlocking AI’s potential lies in giving every worker “superpowers.” Tools like Gumloop’s intuitive agent-builder are the key to making that vision a reality.

The decision to invest wasn’t just strategic—it was personal. This deal marks Randle’s first major investment since joining Benchmark, and he didn’t take it lightly. During due diligence, he discovered a telling story from one of Gumloop’s customers.

The company had given employees access to Gumloop alongside two competing tools. Six months later, the results were undeniable: staff were using Gumloop daily or weekly, while the alternatives sat untouched.

When Randle asked a CTO how they chose Gumloop, the answer was revealing. “They didn’t choose it,” he said. “The employees did—organically.”

Scaling Up for Enterprise Demand

Gumloop wasn’t actively seeking new capital when Benchmark came calling. But with surging demand from enterprise clients, 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.” While he previously envisioned building a “10-person, billion-dollar company,” the scale of enterprise interest has compelled him to build a dedicated sales force and expand his engineering team.

Facing Stiff Competition

Gumloop isn’t alone in its mission to democratize AI agents. The company faces fierce 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—Anthropic’s Claude Co-Work, for instance, allows users to create autonomous agents without writing code.

But Randle believes Gumloop stands apart. Its minimal learning curve means users can start building agents and workflow automations immediately, without a steep onboarding process.

Model-Agnostic Advantage

Many AI startups worry that foundational models will replicate their functionality and render them obsolete. Randle isn’t concerned. He believes Gumloop’s model-agnostic approach is precisely what will keep attracting customers.

As AI models continue to evolve, one may perform better than another for a specific task. Gumloop provides the flexibility to choose the best model for the job at any given moment. This adaptability is particularly appealing to enterprises that already have credits across multiple AI providers like OpenAI, Gemini, and Anthropic.

“Plenty of enterprises have OpenAI, Gemini, and Anthropic credits,” Randle said. “They want to use all of them.”

The Massive Opportunity Ahead

Ultimately, Randle’s excitement comes down to the sheer size of the opportunity. “Enterprise automation is a massive pot of gold,” he said. “I think it’s the biggest category in enterprise AI.”

With this new funding, Gumloop is poised to capitalize on that opportunity, scaling its platform to meet the growing demand for accessible, powerful AI tools that can transform how work gets done.

As companies race to adopt AI, the real winners may not be the ones building the most advanced models—but the ones making those models accessible to everyone. Gumloop is betting that the future of work isn’t just about smarter machines, but about empowering every employee to become an AI builder.

And if the company’s viral growth inside organizations is any indication, that future may already be here.

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