Artificial Intelligence

Gumloop Secures $50M Series B

Gumloop secures $50M Series B led by Benchmark to enhance its AI automation and agent platform for enterprises.

Daniel Singer

By Daniel Singer, Editor, StartupHub.ai

3 min read

Gumloop Secures $50M Series B
Credit: gumloop.com
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Gumloop, a startup focused on making AI automation accessible to all employees, has announced a $50 million Series B funding round. Benchmark led the investment, with participation from Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project, and Shopify Ventures. This significant Gumloop $50M Series B underscores the growing demand for intuitive AI tools in the enterprise.

The company's mission is to enable every employee to become AI-native by building the most usable, flexible, and secure AI automation and agent platform. Gumloop has already become a go-to solution for companies like Shopify, Ramp, and Instacart.

Evolving Beyond Workflow Building

While Gumloop initially gained recognition for its drag-and-drop workflow capabilities, the platform has evolved considerably. It now offers proactive AI agents that can be built by any employee and deployed across workspaces like Slack and Teams.

The core platform facilitates collaboration, building, sharing, and orchestration of agents and automations. Gumloop also introduced Gumstack, a dedicated security platform for monitoring and controlling data usage across an organization's AI agents, including those built with tools like Claude Code and ChatGPT.

This evolution addresses the critical need for enterprise-grade security and observability in AI deployments. The focus on user experience and direct customer feedback has been a driving force behind Gumloop's recent growth.

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Accelerated Roadmap Fueled by LLM Advancements

The rapid improvements in Large Language Models (LLMs) over the past six months have significantly accelerated Gumloop's roadmap. The company has spent two years developing its authentication layer, enterprise observability, and security features, which are now mature enough to integrate with advanced LLMs.

This funding round will enable Gumloop to further enhance its platform, particularly in building out the authentication-layer, enterprise observability, and security features. The goal is to provide a seamless and secure experience for deploying AI agents for enterprise use cases.

According to Ev Randle of Benchmark, enterprises consistently point to Gumloop's balance of powerful capabilities and ease of use, alongside the team's customer obsession, as key reasons for its emergence as a primary AI platform. This customer-centric approach is central to the company's strategy.

Building the Future of AI Automation

Gumloop emphasizes its team as its greatest asset, describing them as highly dedicated individuals focused on a singular goal. The company is actively hiring across all departments.

The platform aims to free employees from repetitive tasks, allowing them to focus on more strategic and uniquely human aspects of their jobs. This vision is central to making the company an industry leader in AI agents for enterprise, fostering an AI-native platform that supports tools like Cursor's AI.

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TopicsGumloopAIAutomationVenture CapitalSeries BBenchmarkAI AgentsEnterprise Software

Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.

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