Gumloop raises $50M from Benchmark for enterprise AI automation

Gumloop, an artificial intelligence startup co-founded in mid-2023, has secured a $50 million Series B investment round—a mid-stage venture capital funding round. The investment was led by Benchmark, marking the first deal for general partner Everett Randle since he joined the firm last October. Other participants in the funding round included Nexus VP, First Round Capital, Y Combinator, BoxGroup, The Cannon Project, and Shopify. Although Gumloop was not actively seeking new capital, the company decided to accept the funding to accelerate its growth.

When Gumloop was founded, the concept of AI agents was largely experimental and prone to errors. Today, the startup provides a platform that allows teams to deploy reliable AI agents to autonomously handle complex, multistep tasks without needing an engineer. This capability has seen adoption across several enterprise customers, who use the platform to build and share internal automations. According to Max Brodeur-Urbas, co-founder of Gumloop, once employees start using the tool, “They get addicted, they start building more agents, and then all of a sudden, the whole company is AI native”

Current customers using the platform include:

• Shopify
• Ramp
• Gusto
• Samsara
• Instacart
• Opendoor

Gumloop faces competition from automation platforms like Zapier and n8n, agent builders like Dust, and model providers like Anthropic. However, Benchmark general partner Everett Randle believes Gumloop is superior to its rivals, noting that users can begin creating agents and workflow automations immediately. During his due diligence, Randle reported that at least one customer had adopted Gumloop somewhat organically after employees chose it over two competitors.

In addition, Gumloop differentiates itself through a model-agnostic approach—meaning the software is capable of working with various AI models rather than being tied to a single provider. This independence allows enterprises to choose the best model for a specific task and utilize existing credits. Randle noted that many enterprises want to use all of their existing credits across providers like OpenAI, Gemini, and Anthropic. He added that enterprise automation represents a massive opportunity and is likely the largest category in enterprise AI.

Following the funding, Gumloop plans to build a sales force and scale up his engineering team to meet demand from enterprise clients. This expansion represents a shift in strategy for the startup; Brodeur-Urbas had previously planned to build a 10-person, billion-dollar company.

Why it matters

Benchmark’s investment signals a growing market conviction that model-agnostic automation tools, which prioritize ease of use for non-technical staff, are the key to unlocking enterprise AI adoption.