Gumloop raises $50M to help non-technical workers build AI agents for workplace automation

Gumloop Secures $50 Million to Expand AI Automation Platform

Gumloop has closed a $50 million Series B funding round led by Benchmark, marking a significant milestone for the AI automation startup that enables non-technical workers to build and deploy autonomous AI agents 1

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. The round included participation from Shopify Ventures, Y Combinator, Nexus VP, First Round Capital, BoxGroup, and The Cannon Project, bringing the company's total outside funding to $70 million 1

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. The investment arrives as enterprise automation demand surges and organizations seek technology that reduces repetitive work without requiring software developers 2

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Building AI Agents Through a Drag-and-Drop Interface

The AI agent platform distinguishes itself by making agent creation accessible to non-technical users through an intuitive drag-and-drop interface 1

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. Users can create an agent by selecting the AI model that should power it and entering a natural language description of the tasks it should perform. Gumloop then connects the agent to any third-party applications required to carry out its work, offering a library of several hundred pre-packaged connectors 1

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. This approach enables employees to build and deploy autonomous AI agents capable of performing complex, multi-step tasks without technical expertise 2

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Users can expand agent capabilities by creating plug-ins called Skills. A customer support agent could be equipped with a Skill that ranks tickets based on severity, while a data visualization agent can be extended with dashboard templates and SQL queries 1

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. The platform's visual editor enables users to link multiple agents into automation workflows. For instance, a sales team could create a workflow where one agent collects data about potential buyers, another cleans the data, and a third visualizes it 1

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Enterprise Security and Management with Gumstack

Gumloop addresses enterprise concerns through Gumstack, an administrative tool that provides robust security and oversight capabilities 1

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. Administrators can define cybersecurity rules for external tools that agents use, such as limiting access to an inventory database to specific departments' workflows 1

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. The tool monitors what data management activities agents perform while carrying out tasks, and administrators can secure sensitive information like credentials using a secrets management feature designed to speed routine tasks such as refreshing credentials 1

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The platform also includes a Chrome extension that allows users to upload data from an open browser tab to an automation workflow for processing, and configure agents to automatically repeat webpage interactions at set time intervals 1

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. Workflows can incorporate third-party cloud services alongside AI agents, creating comprehensive automation solutions 1

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Rapid Growth Driven by Large Language Models Advancement

Gumloop co-founder and CEO Max Brodeur-Urbas noted that improvements in large language models (LLMs) over the past six months accelerated the company's roadmap. "We were in no rush to raise but the rapid, drastic improvement in LLMs over the past 6 months definitely accelerated our roadmap," Brodeur-Urbas wrote 1

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. He added that the company has been building authentication layers, enterprise observability, and security features alongside user experience for two years, and the models are finally good enough to tie it all together 1

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Companies using the AI automation platform include Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor 2

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. The Series B funding positions Gumloop to capitalize on rising enterprise interest in AI automation tools as investor demand for enterprise AI solutions remains high 2

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. With recent advances in LLMs making agent-based automation more reliable, organizations are likely to accelerate adoption of platforms that enable employees to automate complex workflows without technical barriers.