Gumloop Raises $50 Million to Scale No-Code AI Agent Platform

In April 2023, Max Brodeur-Urbas was scrolling through the AutoGPT Discord server when he noticed something that would reshape his career. Thousands of people were flooding into the channel daily — most of them nontechnical users who had never heard of GitHub but were desperate to harness AI to automate their work [1]. Together with McGill University classmate Rahul Behal, he built a side project in a Vancouver bedroom that has now attracted $50 million in Series B funding from one of Silicon Valley's most storied venture firms [2].

Gumloop's rise from scrappy Canadian side project to enterprise AI platform mirrors a broader transformation in how companies think about artificial intelligence: not as a tool for engineers, but as a capability every employee should wield.

The $50 Million Bet

On March 12, 2026, Gumloop announced its $50 million Series B round led by Benchmark, with participation from Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project, and Shopify Ventures [2][3]. The all-equity round was led by Benchmark general partner Everett Randle — notably his first deal since joining the firm in October 2025 [4].

Randle's thesis is straightforward. Rather than building AI agents that replace workers, the winning strategy is "empowering every worker with AI superpowers" through accessible agent-building tools [2]. He noted that enterprises have been drawn to Gumloop's "balance between powerful capabilities & ease of use" alongside the team's relentless customer obsession [3].

The funding brings Gumloop's total capital raised to approximately $74.5 million, following a $17 million Series A in January 2025 led by Nexus Venture Partners [1][5]. That earlier round attracted notable angel investors including Instacart co-founder Max Mullen, Webflow's Bryant Chou, and Databricks co-founder Reynold Xin [5].

From Four People to Enterprise Ambitions

Gumloop's trajectory is a case study in how quickly the AI landscape reshapes startup ambitions. When Brodeur-Urbas and Behal raised their Series A just over a year ago, they were a four-person team with an audacious goal: build a billion-dollar company with just 10 employees [1][6]. The original vision was to let AI handle the scaling while keeping the team hyper-lean.

That plan didn't survive contact with enterprise customers. Today Gumloop has 24 employees with 11 open positions, and the company is planning to reopen a Vancouver office alongside its San Francisco headquarters [7]. "It always starts with a few people building agents, their coworkers get excited, the rest of the team starts building," Brodeur-Urbas told BetaKit [7]. The viral adoption pattern within organizations — what the company describes as a "compounding automation effect" — required more hands to support [4].

The company hit $1.1 million in revenue in 2025 with its 10-person team [8], a figure that, while modest compared to the funding raised, reflected a deliberate product-first strategy. The startup was not actively seeking capital when Benchmark approached, but leadership determined the timing was optimal for acceleration as enterprise demand surged [4].

What Gumloop Actually Does

At its core, Gumloop provides a visual, drag-and-drop interface where non-engineers can build AI agents that execute multi-step business processes. Unlike traditional automation platforms like Zapier, which excel at connecting apps in linear "if this, then that" workflows, Gumloop is AI-native — meaning large language model reasoning and browser automation are embedded as core capabilities rather than bolted on as features [9].

The platform offers three key products:

Gumloop Agents allow employees to build autonomous AI tools within minutes and deploy them natively across Slack, Microsoft Teams, and email. These agents handle tasks ranging from onboarding workflows and invoice reconciliation to support ticket triage and RFP preparation [3].

Gumloop Platform provides the infrastructure for teams to collaborate on, build, share, and orchestrate agents and automations across organizations [3].

Gumstack, a newer enterprise product, serves as a security and governance layer that monitors AI tool usage across an organization — tracking not just Gumloop activity but tool calls from Claude Code, ChatGPT, Cursor, and custom agents [10]. This positions Gumloop not merely as an agent builder but as an enterprise control plane for the broader AI tool ecosystem.

The platform is deliberately model-agnostic, allowing teams to route tasks across OpenAI, Anthropic, Google's Gemini, or open-source alternatives [2]. It currently supports over 100 integrations and 50 pre-built MCP (Model Context Protocol) servers [9].

The Enterprise Customer List

Gumloop's customer roster reads like a who's who of high-growth tech companies: Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor [2][3]. One detail from the due diligence process stands out — at least one customer organization gave employees access to Gumloop alongside two competing tools. Six months later, staff were using Gumloop daily or weekly while the alternatives sat untouched [4].

Shopify's involvement is particularly notable. Beyond being a customer, Shopify Ventures participated in the Series B as an investor, and a previous Shopify investment partially converted into the round [7]. This dual relationship — customer and investor — signals confidence that goes beyond financial returns.

A Market in Hypergrowth

Gumloop's fundraise lands in the middle of an unprecedented surge in AI investment. In 2025, a total of $202.3 billion was invested in the AI sector globally, capturing nearly 50% of all venture capital — up from 34% in 2024 [11]. The United States alone absorbed $159 billion, with the San Francisco Bay Area accounting for $122 billion of that total [11].

Source: Crunchbase / PitchBook

Data as of Jan 15, 2026CSV

The no-code AI platform market specifically is projected to grow from $6.56 billion in 2025 to $75.14 billion by 2034, a compound annual growth rate of 31.13% [12]. Cloud-based deployments account for 62% of the market, and large enterprises represent 57% of adoption [12].

Source: Fortune Business Insights

Data as of Mar 13, 2026CSV

The broader AI agent market has crossed $7.6 billion and is projected to exceed $50 billion by 2030 [13]. Around 35% of organizations already report broad usage of AI agents, with another 27% experimenting in limited ways [13]. IDC expects AI copilots to be embedded in nearly 80% of enterprise workplace applications by 2026 [13].

The Competitive Landscape

Gumloop enters a crowded and rapidly evolving field. Zapier, the most established name in no-code automation, boasts over 8,000 app integrations and a massive user base built over more than a decade [9]. Make.com and n8n offer alternative approaches — Make targeting visual workflow builders and n8n appealing to technical users who want open-source flexibility and self-hosting [9].

But the real competitive pressure comes from above. Major AI labs including OpenAI, Anthropic, and Google are building their own agent capabilities, and platforms like Microsoft's Copilot Studio allow enterprise users to create custom agents within the Microsoft ecosystem. As IndexBox noted in its analysis, "even major AI research labs offer comparable no-code agent creation capabilities" [4].

Gumloop's counter-argument is focus. While the AI giants build horizontally across every use case, Gumloop is purpose-built for the specific problem of enabling non-technical employees to automate complex business processes. The Gumstack governance layer adds a differentiation that pure agent builders lack — visibility into AI tool usage across the entire organization, regardless of which AI platform an employee is using [10].

The Canadian Connection

Gumloop's story carries a distinctly Canadian subplot. Founded in Vancouver, the company relocated to San Francisco in early 2025 to be closer to the epicenter of AI investment and talent [5][7]. Originally called AgentHub when it launched in April 2023, the rebrand to Gumloop accompanied its pivot from a developer-focused tool to a broader enterprise platform [7].

But the founders haven't forgotten their roots. With the Series B, Brodeur-Urbas announced plans to reopen a Vancouver office. "There is exceptional talent all over Canada and they should be able to stay," he told BetaKit [7]. The move reflects a practical reality: Canada's AI talent pipeline — anchored by institutions like the University of Toronto, McGill, and the Montreal Institute for Learning Algorithms — offers a cost-effective alternative to San Francisco's hypercompetitive hiring market.

What the Money Means

The $50 million will fund go-to-market expansion, marketing, and talent acquisition across both the U.S. and Canada [7]. It's a significant war chest, but not an outsized one by current AI standards — in a market where OpenAI just raised $110 billion and multiple startups routinely close nine-figure rounds [11].

What makes the Gumloop deal notable isn't the dollar amount but the investor. Benchmark is famously selective, typically making only a handful of investments per year with a concentrated portfolio approach. The firm's conviction in Gumloop suggests it sees the no-code agent-building category as distinct from the broader AI infrastructure arms race — a market where distribution and user experience matter more than raw model capabilities.

The question now is whether Gumloop can convert its product-led traction into durable enterprise revenue before the market consolidates. With 24 employees serving customers like Shopify and Ramp, the company is still operating with a lean team relative to the scale of its ambitions. The "compounding automation effect" — where AI agent adoption spreads virally within organizations — could be the growth flywheel that justifies the bet. But it's also a hypothesis that remains to be proven at scale.

For the broader enterprise software landscape, Gumloop's fundraise is another data point in an accelerating trend: the tools people use at work are being fundamentally reshaped by AI, and the companies that make that transition frictionless for non-technical users stand to capture enormous value. Whether Gumloop is the company that does it — or merely an early mover in a category that a larger player eventually dominates — is the $50 million question.