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Gumloop reels in $50M for its AI automation platform - SiliconANGLE
Gumloop Inc., the developer of a platform that enables non-technical workers to create artificial intelligence agents, has raised $50 million in funding. The startup announced the Series B round on Thursday. It stated that Benchmark led the deal with participation from Shopify Ventures, Y Combinator and several others. The investment brings the company's total outside funding to $70 million. Gumloop's platform is accessible through a drag-and-drop interface. Users can create an agent by specifying the AI model that should power it and entering a natural language description of the tasks it should perform. From there, Gumloop can connect the agent to any third-party applications that it may require to carry out its work. The platform offers a library of several hundred pre-packaged connectors. Users can expand an agent's capabilities by creating plug-ins dubbed Skills. For example, a worker could equip a customer support agent with a Skill that ranks tickets based on their severity. A data visualization agent, meanwhile, can be extended with dashboard templates and a library of SQL queries. Gumloop provides a visual editor that makes it possible to link together multiple agents into a single automation workflow. A sales team could create a workflow that uses one agent to collect data about potential buyers, another to clean the data and a third to visualize it. Workflows can also incorporate other elements such as third-party cloud services. Customers can use their agents together with a Gumloop-developed Chrome extension. It provides the ability to upload data from an open browser tab to an automation workflow for processing. Additionally, users can configure agents to automatically repeat a certain webpage interaction at set time intervals. Administrators can manage their company's agents using a tool called Gumstack. According to Gumloop, it provides the ability to define cybersecurity rules for the external tools that agents use. For example, access to an inventory database could be limited to the procurement department's automation workflows. Gumstack monitors what data agents access while carrying out tasks. Administrators can secure particularly sensitive data, such as the credentials with which an agent logs into a tool, using a secrets management feature. The capability is designed to speed routine tasks as refreshing credentials. "We were in no rush to raise but the rapid, drastic improvement in LLMs over the past 6 months definitely accelerated our roadmap," Gumloop co-founder and Chief Executive Officer Max Brodeur-Urbas wrote in a blog post. "We've been building the authentication-layer, enterprise observability and security features, alongside our UX for 2 years and the models are finally good enough to tie it all together."
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Gumloop Raises $50M to Scale AI Agent Platform for Enterprise Automation
AI Automation Startup Gumloop Secures $50 Million in Series B Funding to Transform Workplace Efficiency Gumloop has raised $50 million in a Series B funding round led by Benchmark. The financing will support the company's growth as enterprise interest in AI automation tools rises. The round also included participation from Nexus VP, First Round Capital, Y Combinator, BoxGroup, The Cannon Project, and Shopify Ventures. Gumloop's platform lets employees build and deploy autonomous These agents can perform complex, multi‑step tasks without requiring software developers. Companies using the platform include Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor. The funding comes as organizations push to adopt technology that reduces repetitive work. It arrives at a time when investor demand for enterprise AI solutions remains high.
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Gumloop has secured $50 million in Series B funding led by Benchmark to expand its AI automation platform. The startup enables non-technical workers to build autonomous AI agents through a drag-and-drop interface, attracting customers like Shopify, Ramp, and Instacart. The funding brings total capital raised to $70 million as enterprises accelerate adoption of AI-powered workflow automation.
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
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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 million1
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. The investment arrives as enterprise automation demand surges and organizations seek technology that reduces repetitive work without requiring software developers2
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Source: Analytics Insight
The AI agent platform distinguishes itself by making agent creation accessible to non-technical users through an intuitive drag-and-drop interface
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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 connectors1
. This approach enables employees to build and deploy autonomous AI agents capable of performing complex, multi-step tasks without technical expertise2
.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
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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 it1
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Source: SiliconANGLE
Gumloop addresses enterprise concerns through Gumstack, an administrative tool that provides robust security and oversight capabilities
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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' workflows1
. 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 credentials1
.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
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. Workflows can incorporate third-party cloud services alongside AI agents, creating comprehensive automation solutions1
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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
. 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 together1
.Companies using the AI automation platform include Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor
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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 high2
. 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.Summarized by
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