Benchmark Leads $50M Series B to Scale Gumloop's Autonomous AI Agents

Benchmark led a $50 million Series B round into Gumloop, a startup founded in mid-2023 that builds autonomous AI agents for non-technical employees, with Benchmark general partner Everett Randle reported as leading the deal and it being his first major investment since joining Benchmark.

“Gumloop has secured a $50 million Series B led by Benchmark to accelerate its push to let any employee design, deploy, and manage autonomous AI agents without writing code”

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The financing was described across outlets as intended to accelerate Gumloop’s push to let any employee design, deploy, and manage autonomous AI agents without writing code, and it included other backers such as Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project, and Shopify.

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Sources framed the round as positioning Gumloop to scale sales and engineering amid rising enterprise demand for agentic automation.

Gumloop’s product goal is to make AI automation accessible to every employee by letting non-technical staff deploy agents that autonomously handle complex, multi-step tasks, drawing context from tools like email, chat, files, and SaaS apps.

Outlets list customer deployments at companies including Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor, and describe use cases such as triaging support tickets, reconciling invoices, enriching CRM records, preparing RFP responses, and orchestrating onboarding checklists.

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Founders Max Brodeur-Urbas and Rahul Behal framed the startup as born to tame repetitive workflows and create a multiplying effect where employees build and share agents to speed internal automation.

Multiple sources emphasised user adoption and ease-of-use as central to Gumloop’s appeal, with Benchmark’s Randle pointing to an anecdote in which a CTO gave employees full access to Gumloop alongside two competitors and after six months staff were using Gumloop ‘‘daily or weekly, while the competing tools sat untouched.’’

“Benchmark Leads $50 Million Series B for AI Agent Builder Gumloop Benchmark has led a $50 million Series B investment in Gumloop, an AI agent builder startup founded in mid-2023”

Whalesbook

Randle and coverage credited a minimal learning curve—“You can go in and start making agents and workflow automations immediately”—for that organic uptake, a factor investors said differentiated Gumloop from established workflow players.

Observers placed Gumloop in a crowded but fast-growing enterprise automation market, noting competition from established automation platforms like Zapier and n8n, specialised agent builders such as Dust, and even foundational-AI entrants like Anthropic’s Claude Cowork.

Market projections cited in coverage predicted large growth—Whalesbook referenced a projection that the enterprise AI automation market could exceed $1.1 trillion by 2033 and a Gartner expectation that by 2026, 40% of enterprise applications will include AI agents—framing why investors see a ‘‘massive pot of gold’’ opportunity.

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Benchmark and Gumloop pitched a growth plan focused on scaling sales and engineering while leaning into product advantages such as model-agnostic flexibility and cost-management for enterprises with multiple provider credits.

“When Max Brodeur-Urbas co-founded Gumloop in mid-2023, his vision was to help non-technical employees automate repetitive tasks using AI”

TechCrunch

Randle argued model independence and credit portability mattered—“Plenty of enterprises have OpenAI, Gemini, and Anthropic credits. They want to use all of them”—and described the investment thesis by calling enterprise automation ‘‘the biggest category in enterprise AI’’ and a ‘‘massive pot of gold.’”

TechCrunch