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Gumloop has raised $50 million in a Series B funding round led by Benchmark. The financing will support the company’s growth as enterprise interest in AI automation tools rises. The round also included participation from Nexus VP, First Round Capital, Y Combinator, BoxGroup, The Cannon Project, and Shopify Ventures.
Gumloop’s platform lets employees build and deploy autonomous AI agents. These agents can perform complex, multi‑step tasks without requiring software developers. Companies using the platform include Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor.
The funding comes as organizations push to adopt technology that reduces repetitive work. It arrives at a time when investor demand for enterprise AI solutions remains high.
Gumloop was founded in mid‑2023 with a mission to democratise AI automation. CEO Max Brodeur‑Urbas leads the company’s efforts to simplify how organisations create AI agents. Its software offers a user‑friendly interface that does not require coding skills.
Employees use the platform to design agents that handle workflows such as onboarding, invoice reconciliation, and customer support triage. The company says these agents free teams from repetitive tasks and allow staff to focus on more strategic work.
Users can share the agents they build across teams. This sharing aims to boost internal adoption and make AI usage more consistent across organisations. Gumloop emphasises that its approach can help companies become “AI native” by enabling broad participation in automation.
Benchmark general partner Everett Randle led the investment. He joined Benchmark from Kleiner Perkins last year. Randle said he believes enterprise success depends on empowering workers with AI tools they can use directly.
Gumloop did not actively seek additional capital before this round. The company decided to pursue funding due to strong demand from enterprise customers. The Series B funding will help Gumloop hire more engineers and expand its sales organization.
CEO Brodeur‑Urbas had originally planned a smaller team. However, growing interest has prompted Gumloop to scale up to meet enterprise needs. The company says many requests come from teams seeking automated solutions for complex internal processes.
Benchmark’s investment brings experience from backing major technology firms. Randle described the enterprise automation market as large and growing. He said tools that allow any employee to build AI agents represent a significant trend.
Gumloop’s software is built to work with multiple AI model providers. This model‑agnostic approach lets companies choose the models that suit specific tasks best. It also helps organisations make use of existing credits they hold with providers like OpenAI or Anthropic.
The flexibility allows teams to optimise performance and costs. It also reduces the risk of depending on a single AI provider. Users can route tasks to different models based on their needs.
Benchmark’s lead on this round reflects confidence in Gumloop’s strategy. The investor group believes accessible, flexible AI automation tools can unlock productivity across many departments within enterprises.
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Gumloop operates in a competitive landscape with other automation platforms. Established tools such as Zapier and n8n automate workflows across business apps. Other AI tools enable agent creation or embed agent capabilities into broader software suites.
However, Gumloop focuses on letting non‑technical employees build and manage autonomous agents themselves. The emphasis on simplicity and enterprise‑grade features aims to distinguish it from competitors.
Furthermore, the company’s recent funding comes amid broader interest in AI tools that support complex work automation within organisations. Investors have also shown continued appetite for AI startups offering enterprise‑ready products.
