Quick Facts
- Gumloop raised $50 million in Series B funding led by Benchmark, bringing total funding to $70 million
- The platform enables non-technical workers to create AI agents using a drag-and-drop interface
- Enterprise customers include Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor
Gumloop Inc. has raised $50 million in Series B funding to expand its AI automation platform that lets non-technical employees build AI agents without coding. Benchmark led the round with participation from Shopify Ventures, Y Combinator and other investors.
The startup, founded in 2023 by McGill University classmates Max Brodeur-Urbas and Rahul Behal, has now raised $70 million in total funding. Benchmark general partner Everett Randle, who joined the firm from Kleiner Perkins in October, led his first investment at the firm.
Gumloop’s platform uses a drag-and-drop interface where users create agents by selecting AI models and describing tasks in natural language. The platform connects to hundreds of third-party applications through pre-built connectors and allows users to expand capabilities through custom plug-ins called Skills.
The company operates three main products: Gumloop Agents for building proactive AI agents, the core Gumloop platform for collaboration and orchestration, and Gumstack for security teams to monitor data usage across organizational agents.
Randle said the platform’s model-agnostic approach attracts enterprise customers who want flexibility to use OpenAI, Google’s Gemini, and Anthropic’s Claude models based on specific tasks. “Plenty of enterprises have OpenAI, Gemini, and Anthropic credits. They want to use all of them,” he told TechCrunch.
During due diligence, Randle discovered organic adoption at customer companies. One CTO reported that after giving employees access to Gumloop and two competitors, staff used Gumloop daily or weekly while the competing tools remained untouched.
Enterprise customers using the platform include Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor. The viral adoption pattern occurs when employees share agents they build with colleagues, accelerating automation adoption company-wide.
Brodeur-Urbas originally planned to “build a billion-dollar company with 10 people” but enterprise demand forced him to expand the engineering and sales teams. The funding will support continued hiring to meet rising enterprise demand.
The global workflow automation market is projected to reach $77.8 billion by 2035, growing at 21.3% annually from 2023 to 2030. Randle called enterprise automation “a massive pot of gold” and “the biggest category in enterprise AI.”
Gumloop competes with established automation platforms like Zapier and n8n, specialized agent builders like Dust, and AI labs including Anthropic’s Claude Cowork platform.
Read more: Gumloop reels in $50M for its AI automation platform
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