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Gumloop sticks $50-million USD Series B round to let employees build their own AI agents. Despite leaving for San Francisco last year, Gumloop wants to rebuild its Canadian presence. Vancouver-founded, San Francisco-based Gumloop has raised a $50 million USD ($68 million CAD) Series B round to help enterprise employees automate their work. One of Gumloop's core tenets is to "give people UX they rave about." Gumloop sells its platform to enterprise companies like Ramp, Shopify, and Instacart. The platform lets employees create their own AI agents by connecting their internal data to popular AI models, which in turn will complete complex tasks for them. "It always starts with a few people building agents, their coworkers get excited, the rest of the team starts building, and before you know it, the entire company is AI-native," CEO Max Brodeur-Urbas explained in a promotional video he posted to X. Gumloop began its life as a side project looking for a way to automate mundane digital tasks. The company was officially founded in April 2023 under the name AgentHub by McGill University classmates Brodeur-Urbas and Rahul Behal. According to Brodeur-Urbas' promotional video, the duo met in class after his initial co-founder quit on him, and they went on to be accepted into Y Combinator's winter 2024 cohort. Gumloop later changed its name in part to sound more accessible to non-developers. That accessibility is how Gumloop defines itself, with one of its core tenets being "give people UX they rave about." "When we asked enterprises why Gumloop has emerged as the primary AI platform for their employees, they consistently pointed to the product's balance between powerful capabilities and ease of use," Ev Randle, general partner of San Francisco-based venture firm and Gumloop investor Benchmark, said in a statement. Another investor, First Round Capital's Liz Wessel, wrote on X that "the Gumloop team has stayed super focused on making it maximally useful to everyone." The Series B round was led by San Francisco-based venture firm Benchmark, with participation from Nexus VP, First Round, Y Combinator, Box Group, The Cannon Project, and Shopify Ventures. In an email to BetaKit, Brodeur-Urbas said this was an all-equity round, but did not say if there was a secondary capital component. Gumloop will use its new funding to build out its go-to-market efforts, marketing, and to attract talent in both the US and Canada, Brodeur-Urbas told BetaKit in an email. Gumloop previously announced that Shopify Ventures backed the company last August. At the time, Brodeur-Urbas told BetaKit that the investment was not part of a Series B, but this week, he said part of that investment converted into this round. Using this funding to hire talent may seem out of character for Gumloop. Brodeur-Urbas told BetaKit following the company's Series A in early 2025 that he set a goal for Gumloop to hit a $1-billion valuation with a "soft" cap of ten employees. However, the company has job postings for 11 new hires as of this writing. While he did not disclose Gumloop's valuation following the Series B round, Brodeur-Urbas said the company now has 24 employees, and explained that his goal had to change once he saw the "massive pull from enterprise." "Back then, all our customers were self-serve/consumer users but we started seeing an extremely strong pull from enterprises which changed how we needed to build the team," Brodeur-Urbas said, explaining that enterprise clients need special attention and considerations. "We're still keeping the same ethos of a small, talent-dense team, but are focused on this type of enterprise customer now." In the video posted to X announcing the Series B, Gumloop attributed part of its success to hiring "a lot of Canadians." Despite leaving the city in early 2025, Brodeur-Urbas says Gumloop will once again open an office in Vancouver. He told BetaKit in a December email that, going into 2026, growing its team in Vancouver is "a big focus." "Giving Canadians the chance to join a fast growing AI startup without needing to flee the country is a major goal of ours," Brodeur-Urbas said. "There is exceptional [talent] all over Canada and they should be able to stay and work in the industries they care about." Disclosure: BetaKit majority owner Good Future is the family office of two former Shopify leaders, Arati Sharma and Satish Kanwar. Feature image courtesy Gumloop.

Gumloop has raised $50 million in a Series B round led by Benchmark's Everett Randle, with participation from Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project and Shopify. The deal marks Randle's first investment since joining Benchmark from Kleiner Perkins last October. Founded in mid-2023 by Max Brodeur-Urbas, Gumloop allows non-technical employees to build and deploy AI agents that autonomously handle complex, multi-step tasks. The company's customers include Shopify, Ramp, Gusto, Samsara, Instacart and Opendoor. Gumloop's model-agnostic platform enables users to choose different AI models for specific tasks, offering flexibility and cost efficiency. The funding will support building a dedicated sales force and expanding the engineering team as enterprise demand surges. Benchmark partner Randle described enterprise automation as "the biggest category in enterprise AI".

Gumloop wins $50M from Benchmark and turns all employees into AI agent builders. When Max Brodeur-Urbas co-founded Gumloop in mid-2023, his vision was to help non-technical employees automate repetitive tasks using AI. At the time, the concept of AI agents was still largely experimental and error-prone. As AI technology has matured, so have Gumloop's services. The company claims that teams at organizations like Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor can now deploy reliable AI agents that autonomously handle complex multi-step tasks without the need for engineers. Employees can share the agents they build with colleagues, creating a compounding effect that accelerates internal automation. "They get addicted and start building more and more agents, and all of a sudden the whole company becomes AI-native," Brodeur-Urbas told TechCrunch. As companies race to adopt AI, Benchmark General Partner Everett Rundle believes the key to success lies in empowering every employee with AI superpowers, and Gumloop's intuitive agent builder is one example of a tool that can unlock that potential. That's why Randle, who joined Benchmark last October from Kleiner Perkins, chose to lead the company's $50 million Series B investment in Gumloop. The deal was Randle's first with his new company and included participation from Nexus VP, First Round Capital, Y Combinator, BoxGroup, The Cannon Project, and Shopify. Although 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, which provides icons for eBay, Uber, Dropbox, and more, was a "no-brainer." tech crunch event San Francisco, California | October 13-15, 2026 Brodeur-Urbas said he had previously planned to "build a billion-dollar company with 10 people," but the surge in demand from enterprise customers forced him to build a dedicated sales force and expand his engineering team. Gumloop isn't alone in the race 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 basic AI labs are entering the fray. For example, Anthropic's Claude Cowork allows users to create autonomous agents without writing a single line of code. But Randle believes Gumloop is better than all its rivals. During due diligence, the company discovered that at least one of its customers had some level of natural adoption of Gumloop. When Randle asked the CTO how he chose Gumloop, his answer spoke for itself. The company, like two of its competitors, gave its employees full access to Gumloop. After six months, staff were using Gumloop daily or weekly while competing tools remained untouched, Randle told TechCrunch. According to Randle, the reason Gumloop has gained so much traction is because the learning curve is minimal. "You can start automating agents and workflows right away," he said. While many AI startups worry that basic models will duplicate the same functionality and become obsolete, Randle believes Gumloop's model-agnostic approach is exactly what will continue to attract customers. As models continue to evolve, one model may perform better than another for a particular task. Therefore, Gumloop gives you the flexibility to choose the best model for the job at any time. Randle says another reason model independence is attractive is cost. "A lot of companies have credits for OpenAI, Gemini and Anthropic, and they want to use them all," he said. His excitement about the company ultimately comes down to the size of the opportunity. "Enterprise automation is a huge goldmine," Randle said. "I think this is the biggest category of enterprise AI."